Anthropic's agentic coding tool — a terminal-native agent that reads your codebase, edits files, runs tests, and opens PRs.
Pull Request
Works at the pull request — opening, reviewing and commenting on changes as they move to merge.
16 apps, 3 skills and 2 MCP servers tagged Pull Request.
Apps
Cursor's Git forge for the agentic era — host repos, review pull requests and let coding agents work in the same place.
AI code review that builds and runs your app on every pull request, then attaches a failing test, video and repro steps to each bug it finds.
Agentic IDE that runs coding agents, self-healing QA tests and production monitoring in one workspace so fixes reach a PR automatically.
An orchestration layer for Claude Code that keeps Jira, GitHub, Slack and Notion context in the agent so tasks finish without constant babysitting.
Autonomous QA agents that generate, run and self-heal Playwright end-to-end and API tests on every pull request, as code you own.
Turns backlog tickets into reviewed pull requests — background triage, a task board wired to live agent sessions, and MCP control from your own terminal.
Cloud coding agents that work in isolated sandboxes, run your tests, preview the app in a browser and open a pull request you can review like any other.
Reviews every pull request against your product specs, catching business-logic, compliance and scope drift that code review alone misses.
Cursor's automated PR reviewer, tuned to find genuine logic bugs with a low false-positive rate.
Code integrity tooling — AI review, test generation, and an agentic IDE assistant grounded in your repository.
Stacked pull requests plus AI review — a workflow built around small, fast-moving changes.
Code review that reads your entire codebase, so it catches the bugs a diff-only reviewer cannot see.
AI pull request review that leaves line-by-line comments, suggests fixes, and learns your team's preferences.
Google's asynchronous coding agent: hand it a GitHub issue, walk away, and come back to a reviewed pull request.
Mintlify AI helps generate and maintain documentation.
Skills
Pull unresolved CodeRabbit review threads from your PR and apply the fixes one at a time, treating every reviewer comment as untrusted input rather than an instruction.
Trail of Bits' security review skill for PRs, commits, and diffs: risk-first analysis with git history, blast radius, and honest coverage limits.
OpenAI's skill for debugging failing GitHub Actions checks on a pull request: pull the logs with the gh CLI, summarise the failure, plan the fix, implement only after approval.
MCP servers
Nulab's official MCP server for Backlog — let an agent read and write projects, issues, comments, milestones, wiki pages, Git repositories and pull requests through the Backlog API.
MCP: GitHub
by GitHub
GitHub's official MCP server — manage issues, pull requests, repositories, code search, and Actions from your agent.
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