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Boost your Continuous Delivery pipeline with Generative AI
- AI-driven assistance can enhance developer experience and productivity and optimize overall software delivery performance.
- Generative AI is being used to expand the use of large language models to streamline time-consuming tasks.
- AI tools are not a replacement for traditional tools and processes but instead provide more nuanced commentary on code quality.
- Gemini models in Vertex AI can be used to build a custom extension of a CI/CD pipeline that uses Gemini’s language and text generation capabilities.
- Friendly-cicd-helper is a small demo tool that abstracts the mechanics of interacting with the Gemini APIs in Vertex AI.
- A Cloud Build pipeline can be triggered when a developer opens a merge request in Gitlab.
- The pipeline builds a container image with the updated code and deploys the application to a QA environment using Cloud Deploy.
- In the pipeline, Gemini is used to generate an automated code review of our merge request and generating suggested release notes that describe the contained changes in the MR.
- The practical example shows how to leverage Gemini models in Vertex AI within a continuous delivery pipeline to support code reviews and generate release notes for pull requests.
- Automated AI tooling in a CI/CD pipeline can help streamline time-consuming tasks, reduce cognitive load and free up developer's time.
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