Integration of Autonomous Code Review in CI Pipelines

Description

In order to enhance our CI pipeline capabilities, we need to integrate autonomous code review processes using Duo Workflows. We have made significant progress in developing use cases for automated code review that cover areas such as performance, security, linting, and code abstractions. This issue aims to explore and implement these capabilities in our CI pipeline to improve code quality and reduce manual intervention.

Objective

Integrate autonomous agents for code review within the CI pipelines, ensuring that various review tasks are automated to streamline the code review process. This integration should reduce duplication of efforts and provide a consistent AI-driven code review experience.

Tasks

• Research and Integration:
  • Evaluate the existing automated code review capabilities developed by the Duo Workflow team.
  • Identify key areas where autonomous agents can be integrated into CI pipelines.
• Develop and Test:
  • Implement autonomous code review tasks for performance, security, linting, and code abstractions in the CI pipeline.
  • Develop auto-configuration scripts to set up these tasks within the CI pipeline seamlessly.
• Optimize Performance:
  • Optimize CI runner performance to ensure efficient execution of autonomous code review tasks.

References

• &13008 (comment 1935271446)
• https://gitlab.com/gitlab-org/ai-powered/ai-framework/autograph/-/merge_requests/31
• &13008 (comment 1936813001)

Acceptance Criteria

• Autonomous code review tasks are successfully integrated into the CI pipeline.
• CI runners are optimized for performance to handle the added workload.
• Documentation is complete and includes demo videos and configuration guidelines.