Manual code reviews are a bottleneck in fast-moving development teams. Automating initial feedback loops ensures consistency and allows human reviewers to focus on architectural decisions rather than trivial syntax issues.
What is an AI-Assisted Code Review?
An AI-assisted code review workflow uses a CI/CD pipeline—triggered on Pull Request events—to send diffs to an LLM for automated analysis. This process identifies potential bugs, security vulnerabilities, and code style improvements before a human engineer ever opens the PR.
The Workflow Architecture
This implementation uses GitHub Actions to trigger on pull_request events and the OpenAI API to process the code changes.
