AI code review

Anthropic's agentic coding tool that reads, edits, and ships code from the terminal, IDE, or web.

Open-source autonomous coding agent that plans, edits, and ships changes across real codebases.

AI code review and test generation platform that plugs into IDEs, pull requests, and CLI with deep multi-repo context.

Open-source multi-agent orchestration framework that coordinates specialized AI coders across planning, execution, and verification.

Autonomous AI performance engineer that finds and PRs code optimizations with benchmarks attached.

AI pull-request reviewer that lives inside GitHub, GitLab, and your IDE.

Open-source autonomous agent framework that lets LLMs fix GitHub issues and find security vulnerabilities by using a custom agent-computer interface.

AI pull request reviewer that flags bugs, security issues, and style drift against your team's own guidelines.

Opinionated ruleset that forces AI coding agents to write less code by reusing what already exists.

Visual orchestration for coding agents with human approval gates and sandboxed execution

Enterprise agent-orchestration platform for the software development lifecycle.

Agent-native platform that runs the whole software development lifecycle with autonomous Droids.

AI-powered codebase analyzer and auto-fixer that ships validated PRs

GitHub's official Model Context Protocol server for connecting AI agents to repositories, issues, PRs, Actions, and security data.

AI code review that understands the whole codebase, not just the diff

AI-assisted code security research with parallel agents and verified findings

Reference MCP server that lets any LLM read, search, and manipulate local Git repositories.

Visual feedback for AI coding agents

AI diff review for VS Code — see what an AI change actually touches before you merge it