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nitpik

AI-powered code reviews for your team. Bring your own model, bring your own API key.

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Getting Started

New to nitpik? Start here:

1. Installation — download the binary, install from source, or pull the Docker image.
2. Quick Start — run your first review in under two minutes.
3. LLM Providers — connect Anthropic, OpenAI, Gemini, or any compatible API.
4. GitHub Models — run nitpik on free GitHub-hosted models with GITHUB_TOKEN, ideal for CI.

Using nitpik

• Diff Inputs — git diffs, file scans, patches, and stdin.
• Reviewer Profiles — built-in specialist reviewers and how to combine them.
• Custom Profiles — write your own reviewer with Markdown and YAML.
• Agentic Mode — let the LLM explore your codebase with tools.
• Output Formats — terminal, JSON, GitHub, GitLab, Bitbucket, and Forgejo.

How It Works

• How Reviews Work — context assembly, multi-agent coordination, and quality post-processing.
• Caching & Prior Findings — content-hash caching and iterative review continuity.
• Project Documentation Context — teach the reviewer your team's conventions.

Security & Privacy

• Security Model — what nitpik sends to LLM providers, subprocess sandboxing, telemetry, and on-disk data.
• Secret Scanning — detect and redact secrets before code reaches the LLM.
• Threat Scanning — detect obfuscated payloads, dangerous APIs, supply chain attacks, and homoglyph tricks.

Deployment

• Configuration Reference — .nitpik.toml, environment variables, and CLI flags.
• CI/CD Integration — GitHub Actions, GitLab CI, Bitbucket Pipelines, Woodpecker/Forgejo.

Reference

• CLI Reference — every command and flag.
• Troubleshooting — common issues and solutions.
• Licensing — free tier, commercial activation, and license management.