Automated PR review pipeline
FeaturedEvery pull request gets an agent-written first-pass review before a human looks at it.
Overview
New pull requests are automatically reviewed by an agent for correctness, style, and test coverage, with findings posted as inline comments so human reviewers start from a shorter list.
How this workflow works
- Problem it solves
- Human reviewers spend time catching issues an agent can flag automatically, slowing down PR turnaround.
- Expected outcome
- Every PR has an agent-generated review comment within minutes of being opened, before a human is assigned.
- Setup time
- 30 minutes
Steps
- 01PR openedGitHub webhook fires on pull_request.opened.
- 02Agent reviews the diffClaude Code pulls the diff via the GitHub MCP server and checks it against the repo's conventions.
- 03Findings postedInline comments are posted on the PR for anything worth a human's attention.
- 04Slack summaryA one-line summary is posted to the team's #pull-requests channel.
Prerequisites
- A GitHub repo with Actions enabled
- GitHub MCP server configured
- Slack workspace
This workflow uses
More in Coding & Development
Reviews (5)
Genuinely changed how our team ships
We put this in front of real work for three weeks before trusting it near main. It's now part of the default flow, and reviewers spend their time on the parts that actually need judgment.
- Fast to set up
- Caught real bugs
- Occasional context loss on very large diffs
Genuinely changed how our team ships
We put this in front of real work for three weeks before trusting it near main. It's now part of the default flow, and reviewers spend their time on the parts that actually need judgment.
- Fast to set up
- Caught real bugs
- Occasional context loss on very large diffs
Solid, with a learning curve
Took about a week to tune the config to our repo's conventions, but once it clicked it's been reliable. Wouldn't hand it the riskiest changes unsupervised yet.
- Good defaults
- Responsive to feedback
- Setup docs assume more context than we had
Useful but needs guardrails
Works well for the narrow case we use it for. We had to add explicit boundaries after it did something a bit too enthusiastic in week one.
- Capable when scoped well
- Needs explicit boundaries
- Support response was slow
Exactly what we needed
Replaced a manual process that was eating an hour a day across the team. Straightforward to configure and it's held up under real usage.
- Saves real time weekly