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href="https://cloud.google.com/blog/products/productivity-collaboration" track-name="productivity & collaboration"track-type="blog nav"track-metadata-position="nav"track-metadata-eventdetail="cloud.google.com/blog/products/productivity-collaboration"track-metadata-module="header"><span>Productivity & Collaboration</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="https://cloud.google.com/blog/products/sap-google-cloud" track-name="sap on google cloud"track-type="blog nav"track-metadata-position="nav"track-metadata-eventdetail="cloud.google.com/blog/products/sap-google-cloud"track-metadata-module="header"><span>SAP on Google Cloud</span></a></li><li class="glue-header__item "><a class="glue-header__link janap " href="https://cloud.google.com/blog/products/storage-data-transfer" track-name="storage & data transfer"track-type="blog 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class="nRhiJb-DARUcf"><div class="Wdmc0c nRhiJb-DbgRPb-wNfPc-cGMI2b"><div class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c nRhiJb-BFbNVe-r8s4j-bMElCd dIsJJe" track-name="developers & practitioners"track-type="tag">Developers & Practitioners</div><div class="nRhiJb-ObfsIf"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-R6PoUb"></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-EehZO nRhiJb-fmcmS-oXtfBe"><h1 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><div class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><span class="FewWi"></span>Boost your Continuous Delivery pipeline with Generative AI</div></h1></div></div><div class="nRhiJb-fmcmS-oXtfBe dEogG">November 23, 2024</div></div></section><div class="EKklye"><div class="nRhiJb-DARUcf ZWw7T"><div class="npzWPc"><div class="dzoHJ"><div class="nRhiJb-DX2B6 nRhiJb-DX2B6-OWXEXe-h30Snd"><div class="nRhiJb-j5y3u"><ul class="nRhiJb-Qijihe phRaUe" role="list"><li class="hpHPGf"><a class="nRhiJb-ARYxNe" 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class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-ibL1re"></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-II5mzb kWSSdd"><h5 class="cHE8Ub Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">Giovanni Galloro</h5><p class="nRhiJb-qJTHM khCp7b">EMEA Solutions Lead, Application Modernization</p></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-II5mzb kWSSdd"><h5 class="cHE8Ub Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">Daniel Strebel</h5><p class="nRhiJb-qJTHM khCp7b">EMEA Solutions Lead, Application Modernization</p></div></section></div></section><div class="nRhiJb-DARUcf"><div class="nRhiJb-ObfsIf nRhiJb-DbgRPb-wNfPc-ma6Yeb nRhiJb-DbgRPb-qWD73c-cGMI2b"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-ibL1re dzoHJ"><div class="aLW4J" track-metadata-module="left rail"><h5 class="qZDXV Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-wNfPc">Google Cloud Summit Series</h5><p class="nRhiJb-cHYyed Mrfygc nRhiJb-BP2Omd-ma6Yeb-KE6vqe nRhiJb-DbgRPb-R6PoUb-cGMI2b">Discover the latest in AI, Security, Workspace, App Dev, & more.</p><a class="nRhiJb-LgbsSe nRhiJb-LgbsSe-OWXEXe-CNusmb-o6Shpd " href="https://cloudonair.withgoogle.com/summit_series_24?utm_source=cgc-blog&utm_medium=blog&utm_campaign=summit-series-2024&utm_content=summit-series-left-hand-rail-cta&utm_term=-" track-metadata-module="left rail"track-metadata-module_headline="google cloud summit series" track-name="register"track-type="button"track-metadata-position="cta"track-metadata-eventdetail="cloudonair.withgoogle.com/summit_series_24?utm_source=cgc-blog&utm_medium=blog&utm_campaign=summit-series-2024&utm_content=summit-series-left-hand-rail-cta&utm_term=-">Register </a></div></div><div class="OYL9D nRhiJb-kR0ZEf-OWXEXe-GV1x9e-OiUrBf" jsname="tx2NYc"><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">In the domain of software development, AI-driven assistance is emerging as a transformative force to enhance developer experience and productivity and ultimately optimize overall software delivery performance. Many organizations started to leverage AI-based assistants, such as </span><a href="https://cloud.google.com/products/gemini/code-assist"><span style="text-decoration:underline;vertical-align:baseline">Gemini Code Assist</span></a><span style="vertical-align:baseline">, in developer IDEs to support them in solving more difficult problems, understanding unfamiliar code, generating test cases, and many other common programming tasks. Based on the productivity gains experienced by the individual developers in their IDEs, many organizations are looking to expand their use of generative AI technologies to other aspects of their software development lifecycle including pull-requests, code reviews, or generating release notes.</span></p> <p><span style="vertical-align:baseline">In this article we want to explore how to use generative AI to enhance the quality and efficiency in software delivery. We also provide a practical example of how to leverage Gemini models in Vertex AI within a continuous delivery pipeline to support code reviews and generate release notes for pull requests.</span></p></span></section><section class="k6ctOd"><aside class="IwVNTb"><div class="ecJG2e nRhiJb-ObfsIf"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-OiUrBf nRhiJb-snVHke-ibL1re-X66g3b nRhiJb-snVHke-R6PoUb-UFsB2c"><h4 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">$300 in free credit to try Google Cloud developer tools</h4><p class="nRhiJb-qJTHM nRhiJb-DbgRPb-R6PoUb-ma6Yeb"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>Build and test your proof of concept with $300 in free credit for new customers. Plus, all customers get free monthly usage of 20+ products, including AI APIs.</p></span></p><a class="nRhiJb-LgbsSe nRhiJb-LgbsSe-OWXEXe-MNynB-o6Shpd LZTd1c" href="http://console.cloud.google.com/freetrial?redirectPath=/welcome" target="_blank" rel="noopener" track-name="start building for free"track-type="button"track-metadata-position="body"track-metadata-eventdetail="http://console.cloud.google.com/freetrial?redirectPath=/welcome"track-metadata-module="aside"track-metadata-module_headline="$300 in free credit to try google cloud developer tools" track-name="start building for free"track-type="button"track-metadata-position="body"track-metadata-eventdetail="http://console.cloud.google.com/freetrial?redirectPath=/welcome">Start building for free </a></div></div></aside></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h2><strong style="vertical-align:baseline">Generative AI beyond the IDE</strong></h2> <p><span style="vertical-align:baseline">Whilst AI-powered coding assistance within an IDE offers a significant boost to a developer’s productivity, the benefits of this technology are not limited to the direct interaction between the developer and the codebase. By expanding the use of large language models to other aspects of the software delivery lifecycle, we open up a range of new opportunities to streamline time-consuming tasks. By integrating AI capabilities within automated CI/CD pipelines, we not only free up time for developers to focus on more strategic and creative aspects of their work but also have a chance to enhance the code quality overall and detect issues within the codebase early and before they make it to production environments.</span></p> <p><span style="vertical-align:baseline">The concept of using automated tooling within a CI/CD pipeline to proactively detect issues with code quality isn’t entirely new. We’ve used several forms of static code analysis for decades to identify potential errors and vulnerabilities and to enforce coding standards. However, the advances in generative AI present new opportunities that go beyond the capabilities of traditional code analysis. With their advanced language understanding and contextual awareness they can provide more nuanced commentary and provide more grounded recommendations on how to improve on a certain code base. In many cases these cools can help reduce cognitive load or labor intensive tasks that a human developer had to perform in the form of code reviews and help them focus on the bigger picture and overall impact on the codebase.</span></p> <p><span style="vertical-align:baseline">This doesn’t mean that the AI tools are in a position to replace the trusted tools and processes altogether. As illustrated in the practical example below these tools are most impactful when they are embedded within a combination of deterministic tools and human experts and each perform the tasks that they are best equipped to.</span></p> <h2><strong style="vertical-align:baseline">Ingredients for an AI-infused SDLC</strong></h2> <p><span style="vertical-align:baseline">To illustrate how generative AI can be used to enhance software delivery we’ll use the following products and tools: </span></p> <h3><strong style="vertical-align:baseline">Gemini models in Vertex AI</strong></h3> <p><span style="vertical-align:baseline">Gemini models are designed to process and understand vast amounts of information, enabling more accurate and nuanced responses to user prompts. With a focus on enhanced capabilities in areas like logical reasoning, coding, and creative collaboration, Gemini revolutionized the way we are able to collaborate with AI.</span></p> <p><span style="vertical-align:baseline">Gemini can be used directly or indirectly when it powers a packaged experience. For example Gemini Code Assist is a end user application that is built on top of the Gemini models and provides an assistant that helps in code generation, transformation and understanding as mentioned above. </span></p> <p><span style="vertical-align:baseline">Developers can also directly integrate Gemini models in their own application through Vertex AI, an end-to-end platform which lets them create, customize, manage, and scale AI applications.</span></p> <p><span style="vertical-align:baseline">In this example we will use Gemini in Vertex AI to build a custom extension of a CI/CD pipeline that uses Gemini’s language and text generation capabilities to provide meaningful assistance in a code review process.</span></p> <h3><strong style="vertical-align:baseline">Friendly CI-CD Helper</strong></h3> <p><span style="vertical-align:baseline">To abstract away the mechanics of interacting with the Gemini APIs in Vertex AI and centrally manage aspects like prompt design and how the context is fed to the model we build a small demo tool called </span><a href="https://github.com/GoogleCloudPlatform/friendly-cicd-helper" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">friendly-cicd-helper</span></a><span style="vertical-align:baseline">. The tool can be used either as a standalone Python application or as a container that can run in a container-based CI/CD pipeline such as Cloud Build.</span></p> <p><span style="vertical-align:baseline">In its core the friendly-cicd-helper uses Gemini to analyze code changes (here in the form of a Git diff) and can generate the following outputs:</span></p> <ul> <li style="list-style-type:disc;vertical-align:baseline"> <p><span style="vertical-align:baseline">Summary of the changes to help speed up a MR/PR review</span></p> </li> <li style="list-style-type:disc;vertical-align:baseline"> <p><span style="vertical-align:baseline">PR/MR comments for code changes to provide initial feedback to the author</span></p> </li> <li style="list-style-type:disc;vertical-align:baseline"> <p><span style="vertical-align:baseline">Release Notes for changes for code changes</span></p> </li> </ul> <p><span style="vertical-align:baseline">We use the friendly-cicd-helper tool as an example of how to leverage Gemini capabilities in a CI/CD pipeline. It is not an official product and most use cases will require you to build your own implementation based on your own needs and preferences.</span></p> <h3><strong style="vertical-align:baseline">Cloud Build</strong></h3> <p><span style="vertical-align:baseline">Cloud Build is a fully managed, serverless CI/CD (Continuous Integration/Continuous Delivery) platform provided by Google Cloud. It allows you to automate the process of building, testing, and deploying your applications across various environments like VMs, Kubernetes, serverless platforms, and Firebase.</span></p> <p><span style="vertical-align:baseline">You can define how the above tasks are linked together in your build through a build config specification, in which each task is defined as a build step.</span></p> <p><span style="vertical-align:baseline">Your build can be linked to a source-code repository so that your source code is cloned in your workspace as part of your build, and triggers can be configured to run the build automatically when a specific event, such as a new merge request, occurs.</span></p></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/1_UbJVfvN.max-2200x2200.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/1_UbJVfvN.max-2200x2200.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/1_UbJVfvN.max-2200x2200.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/1_UbJVfvN.max-2200x2200.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h2><strong style="vertical-align:baseline">Example Cloud Build Pipeline with Gemini</strong></h2> <p><span style="vertical-align:baseline">In our example the following Cloud Build pipeline is triggered when a developer opens a merge request in Gitlab (any other </span><a href="https://cloud.google.com/build/docs/repositories"><span style="text-decoration:underline;vertical-align:baseline">Cloud Build supported repository</span></a><span style="vertical-align:baseline"> would work). The pipeline first fetches the latest version of the source branch of the pull request and executes the following steps in order:</span></p> <p><span style="vertical-align:baseline">1. The first step generates a Git diff to collect the code changes that are proposed as part of the merge request in a file. The file is persisted in the workspace mount that is shared between the steps such that it can later be used in the context for the LLM prompts.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="steps: - id: Generate Git Diff name: gcr.io/cloud-builders/git entrypoint: 'bash' args: - '-c' - | git fetch origin git diff origin/main --output /workspace/diff.txt cat /workspace/diff.txt"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">steps: - id: Generate Git Diff name: gcr.io/cloud-builders/git entrypoint: 'bash' args: - '-c' - | git fetch origin git diff origin/main --output /workspace/diff.txt cat /workspace/diff.txt</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">2. Then we use Gemini to generate an automated code review of our merge request with the </span><code style="vertical-align:baseline">friendly-cicd-helper vertex-code-review --diff /workspace/diff.txt</code><span style="vertical-align:baseline"> command. The model response is then appended to the GitLab merge request thread as a comment.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="- id: Using Vertex AI to provide an automated MR Review name: 'europe-west1-docker.pkg.dev/$PROJECT_ID/tools/friendly-cicd-helper' entrypoint: sh args: - -c - | export VERTEX_GCP_PROJECT=$PROJECT_ID echo "## Automated Merge Request Review Notes (generated by Vertex AI)" | tee mergerequest-review.md echo "_Note that the following notes do not replace a thorough code review by an expert:_" | tee -a mergerequest-review.md friendly-cicd-helper vertex-code-review --diff /workspace/diff.txt | tee -a mergerequest-review.md cat mergerequest-review.md | friendly-cicd-helper gitlab-comment --project $_GITLAB_PROJECT --mergerequest $$(cat /workspace/gitlab_merge_request_iid) secretEnv: ['GITLAB_TOKEN']"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">- id: Using Vertex AI to provide an automated MR Review name: 'europe-west1-docker.pkg.dev/$PROJECT_ID/tools/friendly-cicd-helper' entrypoint: sh args: - -c - | export VERTEX_GCP_PROJECT=$PROJECT_ID echo "## Automated Merge Request Review Notes (generated by Vertex AI)" | tee mergerequest-review.md echo "_Note that the following notes do not replace a thorough code review by an expert:_" | tee -a mergerequest-review.md friendly-cicd-helper vertex-code-review --diff /workspace/diff.txt | tee -a mergerequest-review.md cat mergerequest-review.md | friendly-cicd-helper gitlab-comment --project $_GITLAB_PROJECT --mergerequest $$(cat /workspace/gitlab_merge_request_iid) secretEnv: ['GITLAB_TOKEN']</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">If you look at </span><a href="https://github.com/GoogleCloudPlatform/friendly-cicd-helper/blob/main/friendly-cicd-helper.py" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">friendly-cicd-helper.py</span></a><span style="vertical-align:baseline"> you’ll see that the vertex_code_review function calls the code_review function from the </span><a href="https://github.com/GoogleCloudPlatform/friendly-cicd-helper/blob/main/lib/vertex_api.py" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">vertex_api.py</span></a><span style="vertical-align:baseline"> module</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="def vertex_code_review(diff): """ Review on a Git Diff """ import lib.vertex_api as vertex return vertex.code_review(diff)"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">def vertex_code_review(diff): """ Review on a Git Diff """ import lib.vertex_api as vertex return vertex.code_review(diff)</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">That function submit a prompt to Gemini to get a code review using the Git diff as context:</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="def code_review(diff_path): """ Generate a code review based on a Git diff. """ response = model.generate_content( f""" You are an experienced software engineer. You only comment on code that you found in the merge request diff. Provide a code review with suggestions for the most important improvements based on the following Git diff: ${load_diff(diff_path)} """, generation_config=generation_config ) print(response.text.strip()) return response.text)"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">def code_review(diff_path): """ Generate a code review based on a Git diff. """ response = model.generate_content( f""" You are an experienced software engineer. You only comment on code that you found in the merge request diff. Provide a code review with suggestions for the most important improvements based on the following Git diff: ${load_diff(diff_path)} """, generation_config=generation_config ) print(response.text.strip()) return response.text)</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">3. The same pattern can be repeated for generating other artifacts like suggested release notes that describe the contained changes in the MR and also append them to the same thread as a comment.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="- id: Using Vertex AI to provide automated Release Notes name: 'europe-west1-docker.pkg.dev/$PROJECT_ID/tools/friendly-cicd-helper' entrypoint: sh args: - -c - | export VERTEX_GCP_PROJECT=$PROJECT_ID echo "## Automated Suggestions for Release Notes (generated by Vertex AI)" | tee mergerequest-release-notes.md friendly-cicd-helper vertex-release-notes --diff /workspace/diff.txt | tee -a mergerequest-release-notes.md cat mergerequest-release-notes.md | friendly-cicd-helper gitlab-comment --project $_GITLAB_PROJECT --mergerequest $$(cat /workspace/gitlab_merge_request_iid) secretEnv: ['GITLAB_TOKEN']"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">- id: Using Vertex AI to provide automated Release Notes name: 'europe-west1-docker.pkg.dev/$PROJECT_ID/tools/friendly-cicd-helper' entrypoint: sh args: - -c - | export VERTEX_GCP_PROJECT=$PROJECT_ID echo "## Automated Suggestions for Release Notes (generated by Vertex AI)" | tee mergerequest-release-notes.md friendly-cicd-helper vertex-release-notes --diff /workspace/diff.txt | tee -a mergerequest-release-notes.md cat mergerequest-release-notes.md | friendly-cicd-helper gitlab-comment --project $_GITLAB_PROJECT --mergerequest $$(cat /workspace/gitlab_merge_request_iid) secretEnv: ['GITLAB_TOKEN']</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">Here you can see the prompt submitted to Vertex from the </span><a href="https://github.com/GoogleCloudPlatform/friendly-cicd-helper/blob/main/lib/vertex_api.py" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">vertex_api.py</span></a><span style="vertical-align:baseline"> module</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="def release_notes(diff_path): """ Generate release notes based on a Git diff in unified format. """ response = model.generate_content( f""" You are an experienced tech writer. Write short release notes in markdown bullet point format for the most important changes based on the following Git diff: ${load_diff(diff_path)} """, generation_config=generation_config ) print(response.text.strip()) return response.text"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">def release_notes(diff_path): """ Generate release notes based on a Git diff in unified format. """ response = model.generate_content( f""" You are an experienced tech writer. Write short release notes in markdown bullet point format for the most important changes based on the following Git diff: ${load_diff(diff_path)} """, generation_config=generation_config ) print(response.text.strip()) return response.text</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>4. <span style="vertical-align:baseline">Lastly our pipeline builds a container image with the updated code and deploys the application to a QA environment using Cloud Deploy, where UAT can be executed.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="- id: Build the image with Skaffold name: gcr.io/k8s-skaffold/skaffold entrypoint: /bin/bash args: - -c - | skaffold build --interactive=false --file-output=/workspace/artifacts.json --default-repo=$_REPO - id: Create a release in Cloud Deploy and rollout to staging name: gcr.io/cloud-builders/gcloud entrypoint: 'bash' args: - '-c' - | MERGE_REQUEST_IID=$$(cat /workspace/gitlab_merge_request_iid) gcloud deploy releases create ledgerwriter-${SHORT_SHA} --delivery-pipeline genai-sw-delivery \ --region europe-west1 --annotations "commitId=${REVISION_ID},gitlab_mr=$$MERGE_REQUEST_IID" --build-artifacts /workspace/artifacts.json"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">- id: Build the image with Skaffold name: gcr.io/k8s-skaffold/skaffold entrypoint: /bin/bash args: - -c - | skaffold build --interactive=false --file-output=/workspace/artifacts.json --default-repo=$_REPO - id: Create a release in Cloud Deploy and rollout to staging name: gcr.io/cloud-builders/gcloud entrypoint: 'bash' args: - '-c' - | MERGE_REQUEST_IID=$$(cat /workspace/gitlab_merge_request_iid) gcloud deploy releases create ledgerwriter-${SHORT_SHA} --delivery-pipeline genai-sw-delivery \ --region europe-west1 --annotations "commitId=${REVISION_ID},gitlab_mr=$$MERGE_REQUEST_IID" --build-artifacts /workspace/artifacts.json</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h2><strong style="vertical-align:baseline">Seeing the pipeline in action</strong></h2> <p><span style="vertical-align:baseline">We will try our pipeline in the context of </span><a href="https://github.com/GoogleCloudPlatform/bank-of-anthos" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">Bank of Anthos</span></a><span style="vertical-align:baseline">, a sample web app that simulates a bank's payment processing network, allowing users to create artificial bank accounts and complete transactions. </span></p> <p><span style="vertical-align:baseline">For the purpose of this demo we’ve modified the ledger writer service that accepts and validates incoming transactions before writing them to the ledger. The repository fork is available </span><a href="https://gitlab.com/galloro/genai-sw-delivery" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">here</span></a><span style="vertical-align:baseline">. </span></p> <p><span style="vertical-align:baseline">Starting from existing code we added the method below to the </span><a href="https://gitlab.com/galloro/genai-sw-delivery/-/blob/main/src/main/java/anthos/samples/bankofanthos/ledgerwriter/TransactionValidator.java?ref_type=heads" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">TransactionValidator class</span></a><span style="vertical-align:baseline"> to obfuscate account number for logging purposes:</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="public String obfuscateAccountNumber(String acctNum) { String obfuscated = ""; for (int i = 0; i < acctNum.length(); i++) { if (Character.isDigit(acctNum.charAt(i))) { obfuscated += "0"; } else { obfuscated += "x"; } } return obfuscated; }"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">public String obfuscateAccountNumber(String acctNum) { String obfuscated = ""; for (int i = 0; i < acctNum.length(); i++) { if (Character.isDigit(acctNum.charAt(i))) { obfuscated += "0"; } else { obfuscated += "x"; } } return obfuscated; }</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>In addition to that, we created a new TransactionValidatorTest class and added a test for the new method:</p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="package anthos.samples.bankofanthos.ledgerwriter; import org.junit.jupiter.api.Test; import static org.junit.jupiter.api.Assertions.assertEquals; class TransactionValidatorTest { @Test void obfuscateAccountNumber_validAccountNumber_returnsObfuscated() { TransactionValidator validator = new TransactionValidator(); String accountNumber = "12345678-90ab-cdef-1234-567890abcdef"; String obfuscated = validator.obfuscateAccountNumber(accountNumber); assertEquals("00000000x00xxxxxxxx0000x000000xxxxxx", obfuscated); } }"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg></div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">package anthos.samples.bankofanthos.ledgerwriter; import org.junit.jupiter.api.Test; import static org.junit.jupiter.api.Assertions.assertEquals; class TransactionValidatorTest { @Test void obfuscateAccountNumber_validAccountNumber_returnsObfuscated() { TransactionValidator validator = new TransactionValidator(); String accountNumber = "12345678-90ab-cdef-1234-567890abcdef"; String obfuscated = validator.obfuscateAccountNumber(accountNumber); assertEquals("00000000x00xxxxxxxx0000x000000xxxxxx", obfuscated); } }</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">Once we open a MR in GitLab, after we insert the /gcbrun comment that we </span><a href="https://cloud.google.com/build/docs/automating-builds/gitlab/build-repos-from-gitlab#creating_a_gitlab_trigger"><span style="text-decoration:underline;vertical-align:baseline">configured our Cloud Build trigger to require</span></a><span style="vertical-align:baseline">. This triggers the pipeline that we outlined above and appends the following comment with the AI-generated comments in the MR thread: </span></p></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/2_Code-Review.max-1400x1400.png" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/2_Code-Review.max-1400x1400.png" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/2_Code-Review.max-1400x1400.png" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/2_Code-Review.max-1400x1400.png" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">Then similarly the requested release note suggestions are also appended to the comment thread:</span></p></span></section><section class="QzPuud"><div><section><figure class="NEBdNd"><section class="PBkdHd DhGbH" jscontroller="SCGBie" jsaction="rcuQ6b:npT2md"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/3v1_UOJG6B8.max-1100x1100.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/3v1_UOJG6B8.max-1100x1100.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><section class="glue-modal glue-modal--dark QHdDac" role="dialog" aria-modal="true"><img class="JcsBte mZzdH ZOnyjc" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/3v1_UOJG6B8.max-1100x1100.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/3v1_UOJG6B8.max-1100x1100.jpg" jsname='P3Vluc' jsaction="click:HTIlC" loading="lazy"/><button class="glue-modal__close-btn" tabindex="0" aria-label="Close this modal"></button></section></section></figure></section></div></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h2><strong style="vertical-align:baseline">Summary</strong></h2> <p><span style="vertical-align:baseline">You saw an example of automating code reviews and release notes generation using Vertex AI and Gemini.</span></p> <p><span style="vertical-align:baseline">You can continue to try by yourself using the above example repository and friendly-cicd-helper, start from it and tune your prompts or implement your own script to submit a prompt to Gemini in your CD pipeline.</span></p></span></section><section class="kcBhad"><section class="Fabbec"><span class="WrMNjb">Posted in</span><ul class="FzXI4e"><li class="I4B51b"><a href="https://cloud.google.com/blog/topics/developers-practitioners" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/topics/developers-practitioners"track-metadata-module="tag list"track-metadata-module_headline="posted in">Developers & Practitioners</a></li><li class="I4B51b"><a href="https://cloud.google.com/blog/products/ai-machine-learning" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/products/ai-machine-learning"track-metadata-module="tag list"track-metadata-module_headline="posted in">AI & Machine Learning</a></li></ul></section></section></div></div></div></div></div><section class="nRhiJb-DARUcf " track-metadata-module="related articles" track-metadata-module_headline="related articles"><div 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Many organizations started to leverage AI-based assistants, such as \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/products/gemini/code-assist\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eGemini Code Assist\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e, in developer IDEs to support them in solving more difficult problems, understanding unfamiliar code, generating test cases, and many other common programming tasks. 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We also provide a practical example of how to leverage Gemini models in Vertex AI within a continuous delivery pipeline to support code reviews and generate release notes for pull requests.\u003c/span\u003e\u003c/p\u003e"]]],[null,["$300 in free credit to try Google Cloud developer tools",null,"Start building for free","http://console.cloud.google.com/freetrial?redirectPath\u003d/welcome",[null,"\u003cp\u003eBuild and test your proof of concept with $300 in free credit for new customers. Plus, all customers get free monthly usage of 20+ products, including AI APIs.\u003c/p\u003e"]]],[null,null,[null,[null,"\u003ch2\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eGenerative AI beyond the IDE\u003c/strong\u003e\u003c/h2\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eWhilst AI-powered coding assistance within an IDE offers a significant boost to a developer\u2019s productivity, the benefits of this technology are not limited to the direct interaction between the developer and the codebase. By expanding the use of large language models to other aspects of the software delivery lifecycle, we open up a range of new opportunities to streamline time-consuming tasks. By integrating AI capabilities within automated CI/CD pipelines, we not only free up time for developers to focus on more strategic and creative aspects of their work but also have a chance to enhance the code quality overall and detect issues within the codebase early and before they make it to production environments.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eThe concept of using automated tooling within a CI/CD pipeline to proactively detect issues with code quality isn\u2019t entirely new. We\u2019ve used several forms of static code analysis for decades to identify potential errors and vulnerabilities and to enforce coding standards. However, the advances in generative AI present new opportunities that go beyond the capabilities of traditional code analysis. With their advanced language understanding and contextual awareness they can provide more nuanced commentary and provide more grounded recommendations on how to improve on a certain code base. In many cases these cools can help reduce cognitive load or labor intensive tasks that a human developer had to perform in the form of code reviews and help them focus on the bigger picture and overall impact on the codebase.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eThis doesn\u2019t mean that the AI tools are in a position to replace the trusted tools and processes altogether. As illustrated in the practical example below these tools are most impactful when they are embedded within a combination of deterministic tools and human experts and each perform the tasks that they are best equipped to.\u003c/span\u003e\u003c/p\u003e\n\u003ch2\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eIngredients for an AI-infused SDLC\u003c/strong\u003e\u003c/h2\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eTo illustrate how generative AI can be used to enhance software delivery we\u2019ll use the following products and tools:\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eGemini models in Vertex AI\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eGemini models are designed to process and understand vast amounts of information, enabling more accurate and nuanced responses to user prompts. With a focus on enhanced capabilities in areas like logical reasoning, coding, and creative collaboration, Gemini revolutionized the way we are able to collaborate with AI.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eGemini can be used directly or indirectly when it powers a packaged experience. For example Gemini Code Assist is a end user application that is built on top of the Gemini models and provides an assistant that helps in code generation, transformation and understanding as mentioned above.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eDevelopers can also directly integrate Gemini models in their own application through Vertex AI, an end-to-end platform which lets them create, customize, manage, and scale AI applications.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eIn this example we will use Gemini in Vertex AI to build a custom extension of a CI/CD pipeline that uses Gemini\u2019s language and text generation capabilities to provide meaningful assistance in a code review process.\u003c/span\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eFriendly CI-CD Helper\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eTo abstract away the mechanics of interacting with the Gemini APIs in Vertex AI and centrally manage aspects like prompt design and how the context is fed to the model we build a small demo tool called\u00a0 \u003c/span\u003e\u003ca href\u003d\"https://github.com/GoogleCloudPlatform/friendly-cicd-helper\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003efriendly-cicd-helper\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e. The tool can be used either as a standalone Python application or as a container that can run in a container-based CI/CD pipeline such as Cloud Build.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eIn its core the friendly-cicd-helper uses Gemini to analyze code changes (here in the form of a Git diff) and can generate the following outputs:\u003c/span\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli style\u003d\"list-style-type:disc;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eSummary of the changes to help speed up a MR/PR review\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:disc;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003ePR/MR comments for code changes to provide initial feedback to the author\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli style\u003d\"list-style-type:disc;vertical-align:baseline\"\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eRelease Notes for changes for code changes\u003c/span\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eWe use the friendly-cicd-helper tool as an example of how to leverage Gemini capabilities in a CI/CD pipeline. It is not an official product and most use cases will require you to build your own implementation based on your own needs and preferences.\u003c/span\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eCloud Build\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eCloud Build is a fully managed, serverless CI/CD (Continuous Integration/Continuous Delivery) platform provided by Google Cloud. It allows you to automate the process of building, testing, and deploying your applications across various environments like VMs, Kubernetes, serverless platforms, and Firebase.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eYou can define how the above tasks are linked together in your build through a build config specification, in which each task is defined as a build step.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eYour build can be linked to a source-code repository so that your source code is cloned in your workspace as part of your build, and triggers can be configured to run the build automatically when a specific event, such as a new merge request, occurs.\u003c/span\u003e\u003c/p\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["https://storage.googleapis.com/gweb-cloudblog-publish/images/1_UbJVfvN.max-2200x2200.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/1_UbJVfvN.max-1100x1100.jpg 1060w, https://storage.googleapis.com/gweb-cloudblog-publish/images/1_UbJVfvN.max-2200x2200.jpg 2120w"," 1060px, 2120px","https://storage.googleapis.com/gweb-cloudblog-publish/images/1_UbJVfvN.max-2200x2200.jpg"],null,3]]],[null,null,[null,[null,"\u003ch2\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eExample Cloud Build Pipeline with Gemini\u003c/strong\u003e\u003c/h2\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eIn our example the following Cloud Build pipeline is triggered when a developer opens a merge request in Gitlab (any other \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/build/docs/repositories\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eCloud Build supported repository\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e would work). The pipeline first fetches the latest version of the source branch of the pull request and executes the following steps in order:\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e1. The first step generates a Git diff to collect the code changes that are proposed as part of the merge request in a file. The file is persisted in the workspace mount that is shared between the steps such that it can later be used in the context for the LLM prompts.\u003c/span\u003e\u003c/p\u003e"]]],[["steps:\r\n - id: Generate Git Diff\r\n name: gcr.io/cloud-builders/git\r\n entrypoint: 'bash'\r\n args:\r\n - '-c'\r\n - |\r\n git fetch origin\r\n git diff origin/main --output /workspace/diff.txt\r\n cat /workspace/diff.txt",null,[null,""]]],[null,null,[null,[null,"\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e2. Then we use Gemini to generate an automated code review of our merge request with the \u003c/span\u003e\u003ccode style\u003d\"vertical-align:baseline\"\u003efriendly-cicd-helper vertex-code-review --diff /workspace/diff.txt\u003c/code\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e command. The model response is then appended to the GitLab merge request thread as a comment.\u003c/span\u003e\u003c/p\u003e"]]],[["- id: Using Vertex AI to provide an automated MR Review\r\n name: 'europe-west1-docker.pkg.dev/$PROJECT_ID/tools/friendly-cicd-helper'\r\n entrypoint: sh\r\n args:\r\n - -c\r\n - |\r\n export VERTEX_GCP_PROJECT\u003d$PROJECT_ID\r\n echo \"## Automated Merge Request Review Notes (generated by Vertex AI)\" | tee mergerequest-review.md\r\n echo \"_Note that the following notes do not replace a thorough code review by an expert:_\" | tee -a mergerequest-review.md\r\n\r\n friendly-cicd-helper vertex-code-review --diff /workspace/diff.txt | tee -a mergerequest-review.md\r\n\r\n cat mergerequest-review.md | friendly-cicd-helper gitlab-comment --project $_GITLAB_PROJECT --mergerequest $$(cat /workspace/gitlab_merge_request_iid)\r\n secretEnv: ['GITLAB_TOKEN']",null,[null,""]]],[null,null,[null,[null,"\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eIf you look at \u003c/span\u003e\u003ca href\u003d\"https://github.com/GoogleCloudPlatform/friendly-cicd-helper/blob/main/friendly-cicd-helper.py\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003efriendly-cicd-helper.py\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e you\u2019ll see that the vertex_code_review function calls the code_review function from the \u003c/span\u003e\u003ca href\u003d\"https://github.com/GoogleCloudPlatform/friendly-cicd-helper/blob/main/lib/vertex_api.py\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003evertex_api.py\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e module\u003c/span\u003e\u003c/p\u003e"]]],[["def vertex_code_review(diff):\r\n \"\"\"\r\n Review on a Git Diff\r\n \"\"\"\r\n import lib.vertex_api as vertex\r\n return vertex.code_review(diff)",null,[null,""]]],[null,null,[null,[null,"\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eThat function submit a prompt to Gemini to get a code review using the Git diff as context:\u003c/span\u003e\u003c/p\u003e"]]],[["def code_review(diff_path):\r\n \"\"\"\r\n Generate a code review based on a Git diff.\r\n \"\"\"\r\n\r\n response \u003d model.generate_content(\r\n f\"\"\"\r\nYou are an experienced software engineer.\r\nYou only comment on code that you found in the merge request diff.\r\nProvide a code review with suggestions for the most important \r\nimprovements based on the following Git diff:\r\n\r\n${load_diff(diff_path)}\r\n\r\n \"\"\",\r\n generation_config\u003dgeneration_config\r\n )\r\n print(response.text.strip())\r\n return response.text)",null,[null,""]]],[null,null,[null,[null,"\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e3. The same pattern can be repeated for generating other artifacts like suggested release notes that describe the contained changes in the MR and also append them to the same thread as a comment.\u003c/span\u003e\u003c/p\u003e"]]],[["- id: Using Vertex AI to provide automated Release Notes\r\n name: 'europe-west1-docker.pkg.dev/$PROJECT_ID/tools/friendly-cicd-helper'\r\n entrypoint: sh\r\n args:\r\n - -c\r\n - |\r\n export VERTEX_GCP_PROJECT\u003d$PROJECT_ID\r\n echo \"## Automated Suggestions for Release Notes (generated by Vertex AI)\" | tee mergerequest-release-notes.md\r\n\r\n friendly-cicd-helper vertex-release-notes --diff /workspace/diff.txt | tee -a mergerequest-release-notes.md\r\n\r\n cat mergerequest-release-notes.md | friendly-cicd-helper gitlab-comment --project $_GITLAB_PROJECT --mergerequest $$(cat /workspace/gitlab_merge_request_iid)\r\n secretEnv: ['GITLAB_TOKEN']",null,[null,""]]],[null,null,[null,[null,"\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eHere you can see the prompt submitted to Vertex from the \u003c/span\u003e\u003ca href\u003d\"https://github.com/GoogleCloudPlatform/friendly-cicd-helper/blob/main/lib/vertex_api.py\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003evertex_api.py\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e module\u003c/span\u003e\u003c/p\u003e"]]],[["def release_notes(diff_path):\r\n \"\"\"\r\n Generate release notes based on a Git diff in unified format.\r\n \"\"\"\r\n\r\n response \u003d model.generate_content(\r\n f\"\"\"\r\nYou are an experienced tech writer.\r\nWrite short release notes in markdown bullet point format for the most important changes based on the following Git diff:\r\n\r\n${load_diff(diff_path)}\r\n \"\"\",\r\n generation_config\u003dgeneration_config\r\n )\r\n print(response.text.strip())\r\n return response.text",null,[null,""]]],[null,null,[null,[null,"\u003cp\u003e4. \u003cspan style\u003d\"vertical-align:baseline\"\u003eLastly our pipeline builds a container image with the updated code and deploys the application to a QA environment using Cloud Deploy, where UAT can be executed.\u003c/span\u003e\u003c/p\u003e"]]],[["- id: Build the image with Skaffold\r\n name: gcr.io/k8s-skaffold/skaffold\r\n entrypoint: /bin/bash\r\n args:\r\n - -c\r\n - |\r\n skaffold build --interactive\u003dfalse --file-output\u003d/workspace/artifacts.json --default-repo\u003d$_REPO\r\n - id: Create a release in Cloud Deploy and rollout to staging\r\n name: gcr.io/cloud-builders/gcloud\r\n entrypoint: 'bash'\r\n args:\r\n - '-c'\r\n - |\r\n MERGE_REQUEST_IID\u003d$$(cat /workspace/gitlab_merge_request_iid)\r\n gcloud deploy releases create ledgerwriter-${SHORT_SHA} --delivery-pipeline genai-sw-delivery \\\r\n --region europe-west1 --annotations \"commitId\u003d${REVISION_ID},gitlab_mr\u003d$$MERGE_REQUEST_IID\" --build-artifacts /workspace/artifacts.json",null,[null,""]]],[null,null,[null,[null,"\u003ch2\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eSeeing the pipeline in action\u003c/strong\u003e\u003c/h2\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eWe will try our pipeline in the context of \u003c/span\u003e\u003ca href\u003d\"https://github.com/GoogleCloudPlatform/bank-of-anthos\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eBank of Anthos\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e, a sample web app that simulates a bank's payment processing network, allowing users to create artificial bank accounts and complete transactions.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eFor the purpose of this demo we\u2019ve modified the ledger writer service that accepts and validates incoming transactions before writing them to the ledger. The repository fork is available \u003c/span\u003e\u003ca href\u003d\"https://gitlab.com/galloro/genai-sw-delivery\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003ehere\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eStarting from existing code we added the method below to the \u003c/span\u003e\u003ca href\u003d\"https://gitlab.com/galloro/genai-sw-delivery/-/blob/main/src/main/java/anthos/samples/bankofanthos/ledgerwriter/TransactionValidator.java?ref_type\u003dheads\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eTransactionValidator class\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e to obfuscate account number for logging purposes:\u003c/span\u003e\u003c/p\u003e"]]],[["public String obfuscateAccountNumber(String acctNum) {\r\n String obfuscated \u003d \"\";\r\n for (int i \u003d 0; i \u003c acctNum.length(); i++) {\r\n if (Character.isDigit(acctNum.charAt(i))) {\r\n obfuscated +\u003d \"0\";\r\n } else {\r\n obfuscated +\u003d \"x\";\r\n }\r\n }\r\n return obfuscated;\r\n }",null,[null,""]]],[null,null,[null,[null,"\u003cp\u003eIn addition to that, we created a new TransactionValidatorTest class and added a test for the new method:\u003c/p\u003e"]]],[["package anthos.samples.bankofanthos.ledgerwriter;\r\n\r\nimport org.junit.jupiter.api.Test;\r\nimport static org.junit.jupiter.api.Assertions.assertEquals;\r\n\r\nclass TransactionValidatorTest {\r\n\r\n @Test\r\n void obfuscateAccountNumber_validAccountNumber_returnsObfuscated() {\r\n TransactionValidator validator \u003d new TransactionValidator();\r\n String accountNumber \u003d \"12345678-90ab-cdef-1234-567890abcdef\";\r\n String obfuscated \u003d validator.obfuscateAccountNumber(accountNumber);\r\n assertEquals(\"00000000x00xxxxxxxx0000x000000xxxxxx\", obfuscated);\r\n }\r\n}",null,[null,""]]],[null,null,[null,[null,"\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eOnce we open a MR in GitLab, after we insert the /gcbrun comment that we \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/build/docs/automating-builds/gitlab/build-repos-from-gitlab#creating_a_gitlab_trigger\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003econfigured our Cloud Build trigger to require\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e. This triggers the pipeline that we outlined above and appends the following comment with the AI-generated comments in the MR thread: \u003c/span\u003e\u003c/p\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["https://storage.googleapis.com/gweb-cloudblog-publish/images/2_Code-Review.max-1400x1400.png","https://storage.googleapis.com/gweb-cloudblog-publish/images/2_Code-Review.max-1100x1100.png 1060w, https://storage.googleapis.com/gweb-cloudblog-publish/images/2_Code-Review.max-1400x1400.png 1332w"," 1060px, 1332px","https://storage.googleapis.com/gweb-cloudblog-publish/images/2_Code-Review.max-1400x1400.png"],null,3]]],[null,null,[null,[null,"\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eThen similarly the requested release note suggestions are also appended to the comment thread:\u003c/span\u003e\u003c/p\u003e"]]],[null,null,null,null,null,null,null,null,[[[null,""],["https://storage.googleapis.com/gweb-cloudblog-publish/images/3v1_UOJG6B8.max-1100x1100.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/3v1_UOJG6B8.max-1100x1100.jpg 1060w, https://storage.googleapis.com/gweb-cloudblog-publish/images/3v1_UOJG6B8.max-1100x1100.jpg 1076w"," 1060px, 1076px","https://storage.googleapis.com/gweb-cloudblog-publish/images/3v1_UOJG6B8.max-1100x1100.jpg"],null,3]]],[null,null,[null,[null,"\u003ch2\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eSummary\u003c/strong\u003e\u003c/h2\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eYou saw an example of automating code reviews and release notes generation using Vertex AI and Gemini.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eYou can continue to try by yourself using the above example repository and friendly-cicd-helper, start from it and tune your prompts or implement your own script to submit a prompt to Gemini in your CD pipeline.\u003c/span\u003e\u003c/p\u003e"]]]],[["Developers \u0026 Practitioners","Build an AI agent for trip planning with Gemini 1.5 Pro: A step-by-step guide","Check out this step-by-step guide to create an AI agent for trip planning with Gemini 1.5 Pro.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg"],null,5,null,"https://cloud.google.com/blog/topics/developers-practitioners/learn-how-to-create-an-ai-agent-for-trip-planning-with-gemini-1-5-pro",null,1,[["Kelci Mensah","Cloud Architect, Google"],["Dagmawe Legesse","Cloud Engineer"]],null,"55632"],["Developers \u0026 Practitioners","Create a self-escalating chatbot in Conversational Agents using Webhook and Generators","Learn how to create a self-escalating chatbot using Google Cloud's generative AI solutions such as Vertex AI and Conversational Agents (Dialogflow CX).",["https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg"],null,9,null,"https://cloud.google.com/blog/topics/developers-practitioners/create-a-self-escalating-chatbot-in-conversational-agents",null,1,[["Aniket Agrawal","AI Cloud Engineer"]],null,"55633"],["AI \u0026 Machine Learning","How Commerzbank is transforming financial advisory workflows with gen AI","Commerzbank has automated its financial advisory workflows using an advanced semi-agentic, multi-step gen AI process on Vertex AI.",["https://storage.googleapis.com/gweb-cloudblog-publish/original_images/Commerzbank-v3.gif","https://storage.googleapis.com/gweb-cloudblog-publish/original_images/Commerzbank-v3.gif 324w, https://storage.googleapis.com/gweb-cloudblog-publish/original_images/Commerzbank-v3.gif 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/original_images/Commerzbank-v3.gif"],null,5,null,"https://cloud.google.com/blog/products/ai-machine-learning/how-commerzbank-is-transforming-financial-advisory-workflows-with-gen-ai",null,1,[["Tolga Bast\u00fcrk","Product Owner, Commerzbank"],["Anant Nawalgaria","Sr. Staff ML Engineer, Google"]],null,"55621"],["Containers \u0026 Kubernetes","Data loading best practices for AI/ML inference on GKE","When running AI/ML inference workloads on GKE, learn how to accelerate data loading for inference serving containers and downloading models + weights.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-700x700.jpg"],null,6,null,"https://cloud.google.com/blog/products/containers-kubernetes/improve-data-loading-times-for-ml-inference-apps-on-gke",null,1,[["Brian Kaufman","Senior Product Manager GKE AI/ML"],["Akshay Ram","Group Product Manager GKE AI/ML"]],null,"55570"]],null,"Developers \u0026 Practitioners",["Google Cloud Summit Series","Discover the latest in AI, Security, Workspace, App Dev, \u0026 more.","Register","https://cloudonair.withgoogle.com/summit_series_24?utm_source\u003dcgc-blog\u0026utm_medium\u003dblog\u0026utm_campaign\u003dsummit-series-2024\u0026utm_content\u003dsummit-series-left-hand-rail-cta\u0026utm_term\u003d-"],[["Developers \u0026 Practitioners","https://cloud.google.com/blog/topics/developers-practitioners","developers"],["AI \u0026 Machine Learning","https://cloud.google.com/blog/products/ai-machine-learning","ai-machine-learning"]],null,null,7], 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