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AI for code review

AI Code Review

Automate code review with AI. Catch bugs, security issues, performance regressions, and missing tests before they reach production, in seconds, on every commit. Works with Claude Code, Cursor, Codex CLI, Windsurf, Copilot, Cline, and any MCP-compatible tool.

$ npx @skills-hub-ai/cli install code-review

Short answer

AI code review uses an AI model to inspect code changes for correctness, security, performance, and style, typically in seconds, on every commit. The best AI code review tools in 2026 are Claude Code (autonomous), Cursor (inline), Copilot (GitHub-native), and the skills-hub `code-review` skill (portable across all of them).

Best AI code review skills

  1. 01code-review

    265 installs

    Thorough code review — checks correctness, security, performance, readability, and test coverage. Gives actionable feedback ranked by severity.

    Review
  2. 02ui-design-system

    158 installs

    UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.

    Buildfrom Multi-Domain Skills
  3. 03senior-frontend

    90 installs

    Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality.

    Buildfrom Multi-Domain Skills
  4. 04markitdown

    84 installs

    Convert heterogeneous documents and selected URIs to Markdown with Microsoft MarkItDown for text analysis, search, and LLM/RAG ingestion. Covers safe local conversion, streams, Office/PDF/data formats, batch workflows, plugins, vision OCR, Azure extraction, and the official MCP server.

    Researchfrom Scientific Skills
  5. 05web-research-agent

    75 installs

    A comprehensive autonomous web research agent that performs targeted searches, fetches and parses web content, summarizes findings, and generates structured reports, adhering to industry best practices for accuracy, security, and robustness.

    Analysis
  6. 06frontend-design

    67 installs

    Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.

    Buildfrom Anthropic
  7. 07Skill Finder

    61 installs

    Workflow orchestrator. Decomposes a task into ordered steps, finds or installs the right skill for each step, runs the chain, and offers to save it as a reusable skill.

    Combo
  8. 08self-improving-agent

    61 installs

    Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacity.

    Buildfrom Multi-Domain Skills
  9. 09quickstart

    48 installs

    Zero to power user in one invoke — detects OS, installs Homebrew/apt/Node.js/Python, sets up Claude Code, authenticates skills-hub CLI, connects MCP servers, and installs recommended skills based on your project. Cross-platform (macOS, Linux, WSL). Idempotent. Use when: 'quickstart', 'setup machine', 'new machine setup', 'install everything', 'get started', 'onboard me', 'setup skills-hub', 'fresh install'.

    Productivity
  10. 10using-superpowers

    43 installs

    Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions

    Buildfrom Superpowers
  11. 11refactor

    43 installs

    Systematic code refactoring — extract functions, reduce complexity, eliminate duplication, improve naming, and split large files. Preserves behavior with tests.

    Review
  12. 12security-review

    43 installs

    Security audit and vulnerability assessment for any codebase. Scans for authentication bypasses, missing auth middleware, broken JWT validation (algorithm confusion, weak secrets, missing expiry), OAuth state and PKCE flaws, IDOR and horizontal privilege escalation, vertical privilege escalation via role manipulation, SQL injection, NoSQL injection, XSS (stored, reflected, DOM), command injection, path traversal, SSRF, CSRF, hardcoded secrets and API keys (sk_live_, AKIA, ghp_), .env and credential file exposure, PII leaking in logs and error responses, overfetching sensitive fields, CORS misconfiguration, session fixation, missing secure/httpOnly/sameSite cookie flags, and Firebase/Firestore rule weaknesses. Produces a severity-ranked findings report with exploit scenarios and fix recommendations. Covers OWASP Top 10.

    Reviewfrom Skills Hub

Frequently asked questions

What is AI code review?

AI code review is the practice of using an AI model to inspect code changes for correctness, security issues, performance regressions, style violations, and missing tests, typically before a human review. Modern AI code reviewers can catch most of what a senior engineer would, in seconds, and run on every commit.

What's the best AI code review tool in 2026?

Depends on workflow. For autonomous PR review, Claude Code with a code-review skill is the strongest (sub-agents, scheduled tasks, deep MCP). For inline review in the IDE, Cursor and Windsurf both have first-class chat/composer features. For GitHub-native PR review, Copilot Enterprise's Copilot Workspace is the most integrated.

How do I install an AI code review skill?

Run `npx @skills-hub-ai/cli install code-review` from your terminal. The CLI writes the SKILL.md to the right directory for your AI tool. You can then trigger reviews with `/code-review` (Claude Code, Cursor), as an MCP prompt (any MCP client), or via a CI hook.

Can AI code review replace human review?

Not yet, and probably not entirely. AI catches most correctness, security, and style issues; humans catch architectural concerns, business logic edge cases, and team-specific conventions. The best teams use AI for the 80% of issues that don't need human judgment and reserve humans for the 20% that do.

Are there free AI code review tools?

Yes. Skills-hub.ai's code-review skill is free; you only pay for whatever AI subscription you use (Claude Pro, ChatGPT Pro, Gemini, or BYO API key via Cline/Continue.dev). Open-source Codex CLI and Cline are free; you pay only for tokens.

How fast is AI code review?

Typically 30-90 seconds for a small PR (under 500 lines), 2-5 minutes for a large PR (5,000+ lines). Claude Code's sub-agents can review in parallel, cutting time further on large diffs.

Best AI tools for code review