AI Code Review Tools

Code editor built around coding agents that work in the IDE, the terminal, the cloud and on pull requests

Best for: Developers who want agents, cloud agents and code review inside one editor

Command-line tool that bundles a codebase into one file and runs AI code reviews on it without leaving the terminal.

Best for: Developers who prefer terminal-first workflows over browser or IDE-based review tools

OpenAI's coding agent for the terminal, IDE, desktop and cloud sandboxes, included with ChatGPT plans or billed by API tokens.

Best for: ChatGPT subscribers who want a coding agent included in their plan

AI application security scanner that finds and patches vulnerabilities across code, dependencies, and infrastructure.

Best for: Engineering teams wanting PR-level security review with working patches, not just alerts

AI reviewer that comments on GitHub and GitLab pull requests, triages them by risk and flags security issues

Best for: Teams reviewing high volumes of AI-generated pull requests

Mac app for running Claude Code, Codex, Cursor and OpenCode agents in parallel, each in its own isolated workspace.

Best for: Developers juggling several features or bug fixes with coding agents at once

Open-source local review tool where you comment on an AI agent's plans, diffs and running app in the browser.

Best for: Developers reviewing agent-written plans and diffs before accepting them

Inline completions, chat and coding agents across the major IDEs

Best for: Teams standardising on one assistant across mixed IDEs and languages

GitHub-connected coding agent that builds full-stack apps, works existing repos and reviews pull requests

Best for: Teams that want an agent working in GitHub pull requests rather than inside an editor

Reviews GitHub pull requests with framework-aware AI models and remembers what it already flagged.

Best for: Laravel and React teams wanting framework-aware review comments

Indexes the whole repo, then reviews pull requests with cross-file context rather than diff-only context.

Best for: Teams whose bugs come from cross-file coupling rather than local mistakes

AI code review for GitHub pull requests, plus commit summaries and an agent that answers questions and opens fix PRs.

Best for: Small and mid-size engineering teams on GitHub who want bug-focused PR reviews

Turns an approval given in Slack or Jira into an automated check that blocks pull requests violating it.

Best for: Teams whose decisions live in Slack threads and never reach the codebase

AI code-review agent (ex CodiumAI) that critiques pull requests and enforces team standards across repos

Best for: Engineering teams enforcing consistent standards across many repositories

Context layer that links code, chats, tickets and docs so coding agents and developers get reliable answers and better pull requests.

Best for: Engineering teams with long-lived codebases and scattered tribal knowledge

Local kanban board that runs several coding agents in parallel git worktrees, now an open-source, community-maintained project.

Best for: Developers juggling parallel tasks across Claude Code, Codex or similar agents

Paste a code snippet and get it explained in a chosen persona, plus refactor and review

Best for: Students working out what an unfamiliar algorithm or snippet does

GitHub app that reviews pull requests for bugs, security and code quality and returns one structured review with a merge status.

Best for: Small engineering teams on GitHub wanting a second reviewer focused on must-fix issues

Builds your pull request in a sandbox, clicks through the app like a user, and reports the runtime bugs

Best for: Teams whose worst bugs are runtime, not syntax

Syncs pull request reviews across GitHub, Slack and VS Code so nothing gets missed.

Best for: Teams that live in Slack and want PR status without switching to GitHub constantly

Writes your pull request descriptions from the diff and posts them back to GitHub or GitLab

Best for: Teams whose pull request descriptions are habitually empty or one line long