AI Review
Key features
See how Angada helps teams review pull requests and follow up on findings.
Angada brings review findings, follow-up, and controls into one pull request workflow.
Review and follow up
- Evidence-linked findings — Each finding connects its explanation to the file and lines it refers to, so you can assess the issue in context.
- Severity controls — Set a severity floor to focus inline review comments on findings that meet your chosen level.
- Review continuity — As a pull request changes, reviews update the current result and matching comments.
- Coding-agent handoffs — Turn a finding into a prompt to continue investigating or fixing it with a coding agent.
- Review configuration — Adjust review behavior and the findings Angada posts for your workspace.
Private beta
- Cross-repo reviews private beta — Review changes across related repositories to keep connected code changes in view.
- Issue tracker integration private beta — Bring issue context into code reviews to help assess changes against the work they address.
- Deepreview private beta — Give complex or high-impact changes a more thorough review.
- Auto approval private beta — Automatically approve pull requests that meet your team's review criteria.
- Learning private beta — Help reviews reflect your team's feedback and expectations over time.