AI Review
Review changes with the evidence in view.
Angada turns GitHub pull requests into a focused review surface: findings with severity, file and line context, explanations, and a useful next step for the author.
Anatomy of a review
What shows up in an Angada review.
Each finding keeps severity, evidence, explanation, and a useful next step together. The walkthrough above shows one complete example; these cells name the parts.

Prioritize
Know what needs attention.
See the pull request verdict and the findings that deserve a closer look before opening the details.

Investigate
See why it matters.
Every finding stays anchored to the changed code, with context and an explanation that makes the risk clear.

Resolve
Carry the fix forward.
Move from a focused suggestion to your preferred coding agent without losing the review context.
Controls
Review when you want it.
Decide when review runs and how loud findings should be before a pull request moves on. Workspace access still depends on the entitlements enabled for that workspace.
Review draft pull requests
Choose whether draft PRs get reviewed before they are marked ready.
Minimum severity
Set a severity threshold so quieter findings stay out of the way until they matter.
Run on demand
Trigger a review manually when the team wants a pass without waiting for the next push.