Which AI agents review pull requests?
Updated Oct 26, 2026: 17 real examples of people using an AI agent to review pull requests. This page lists 10 of them, the ones described in the most separate accounts, each with a link to the original source. The count is how many use cases on this site match this job right now.
Part of Software & DevOps.
Examples
Turn tickets into merged pull requests
Pulls tasks from GitHub Issues or Linear, then runs Claude Code or Codex in isolated Kubernetes pods to carry each one through to a PR.
Claude CodeCodex6 accounts
Try Devin for pull requests on a company codebase
A commenter's team tried Devin but found PRs slow and still needing review, so it felt like a junior developer.
Devin3 accounts
Review GitHub pull requests automatically
An n8n AI agent triggers on each new PR, fetches diffs, calls an LLM for a review, and posts comments and labels back on the PR.
n8n3 accounts
Vibe-code a pull request dashboard across Azure DevOps repos
Author used ChatGPT for architecture and the Junie agent in WebStorm to build a dashboard aggregating PRs across four repos, flagging approvals, conflicts and comments, in about 3 hours.
ChatGPT2 accounts
Hand narrow code changes to Devin for pull requests
A team used Devin for a month on small fixes like chart formatting and API edge cases, with tests and PRs; a complex full-stack task went poorly.
Source on frontierai.substack.com
Devin2 accounts
Review GitHub pull requests for bugs and security
A Hermes tutorial reads a PR diff and returns a structured review of bugs, security and code quality, then turns it into a skill that watches repos and sends summaries.
Source on hermes-agent.nousresearch.com
Hermes Agent2 accounts
Build a pull request review agent with Copilot
A developer was asked by their company to build a PR-review agent with Copilot and was considering a custom API approach for Azure since native review is GitHub-only.
Turn Sentry bug reports into fix pull requests
Sentry's Seer passes root cause analysis and issue context to a Cursor Cloud Agent, which writes the fix and opens a pull request in the user's repo.
Turn GitHub issues into draft pull requests with long-running agents
The author used Dots for read-heavy long-horizon tasks like reading GitHub issues and making PRs, which were typically poor but gave a starting point.
Generate recurring weekly reports combining KPIs and pull requests
A product leader uses Claude Code for automatic recurring reports on what developers shipped and whether features helped or hurt KPIs.