How to Review GitHub Pull Requests with Eigent

Catch regressions, missing tests, and risky behavior changes before human review — automatically on every pull request.

Download Eigent

What you need

Eigent desktop app
GitHub integration

Best for

Teams that want an additional review signal before human merge approval
Large codebases in production where regressions are expensive
Repos with inconsistent test coverage that benefit from automated gap detection

Starter Prompt

Review this PR for security regressions, missing tests, and risky behavior changes.

Run in Eigent

How it works

Connect Eigent to your GitHub organization or repository.
Configure automatic review on every PR, or request a review manually with a comment.
Eigent reviews the diff and leaves inline comments on regressions, missing tests, or risky changes.
If Eigent flags an issue, ask it to fix the issue and update the PR.

More prompts to try

Focus this review on the authentication and session handling changes only.
Are there any missing tests for the new code paths introduced in this PR?
Does this change introduce any SQL injection, XSS, or SSRF risk?
Fix the issue you flagged in line 42 and push the change to this branch.

How to use

Connect Eigent to GitHub and set up automatic review on the repos you care about. You can also trigger a review manually by commenting in a PR. To customize what Eigent reviews, add review guidelines to your AGENTS.md file — specify priorities, issue types, and any area-specific rules for packages that need extra scrutiny. When Eigent flags an issue, ask it to fix it directly on the PR branch.

Expected output

Inline PR comments for each flagged issue, categorized by priority. Each comment includes what was found, why it is a risk, and a suggested fix or next step.

Limitations

Eigent reviews the static diff — it cannot run the test suite or observe runtime behavior.
Review depth depends on context in the repo; AGENTS.md guidelines make findings more targeted.
Security findings should be verified by a human before treating them as confirmed vulnerabilities.