AI code review software uses artificial intelligence and large language models (LLM) to automatically review code changes when developers open pull requests (PR) or merge requests (MR). These tools analyze each change in the context of the surrounding codebase and then post inline comments, change summaries, and suggested fixes directly into the version control workflow. Solutions in this space also prominently feature bug and error detection along with configurable review rules that adhere to development teams’ coding standards.
Unlike secure code review software, which focuses specifically on vulnerabilities and security risks, AI code review software attends to general code quality. Development teams use AI code review software to address logic errors, bugs, and adherence to best practices. By augmenting code review cycles, these solutions help teams focus their efforts on architecture and design decisions.
To qualify for inclusion in the AI Code Review category, a product must:
- Use AI or LLMs to review code changes at the PR and MR stages autonomously
- Post contextual inline comments and change summaries within the version-control workflow
- Detect bugs and provide remediation suggestions
- Integrate with version control hosting platforms
- Be configurable to team standards