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align=\"center\"\u003e\n\n_Agentic AI code reviewer CLI_\n\n_Parallel review, custom rules, agent skills, run anywhere_\n\n[![npm version](https://img.shields.io/npm/v/@firekeeper.ai/firekeeper)](https://www.npmjs.com/package/@firekeeper.ai/firekeeper)\n[![GitHub release](https://img.shields.io/github/v/release/firekeeper-ai/firekeeper)](https://github.com/firekeeper-ai/firekeeper/releases)\n[![License](https://img.shields.io/github/license/firekeeper-ai/firekeeper)](https://github.com/firekeeper-ai/firekeeper/blob/main/LICENSE)\n\n\u003c/span\u003e\n\n## Features\n\n- **_Privacy-first_**: Bring your own LLM API key and model—works with any OpenAI-compatible endpoint\n- **_Agentic review_**: Uses an agentic loop with tools to intelligently investigate code changes, not just one-shot LLM calls\n- **_Custom rules_**: Define project-specific review rules in `firekeeper.toml` with detailed instructions for the AI agent\n- **_Flexible scope_**: Review uncommitted changes, specific commits, date ranges, or entire repositories\n- **_Parallel execution_**: Splits review tasks across multiple workers for speed **_and focus_**, with configurable file batching\n- **_Structured output_**: JSON output and markdown trace files for integration with CI/CD and debugging\n- **_Context engineering_**: Include files, shell command outputs, and Agent Skills as context for reviews\n\n## Installation\n\n\u003cdetails open\u003e\n\n\u003csummary\u003eShell (macOS/Linux)\u003c/summary\u003e\n\n```sh\ncurl --proto '=https' --tlsv1.2 -LsSf https://github.com/firekeeper-ai/firekeeper/releases/latest/download/firekeeper-installer.sh | sh\n```\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\n\u003csummary\u003ePowerShell (Windows)\u003c/summary\u003e\n\n```powershell\npowershell -ExecutionPolicy Bypass -c \"irm https://github.com/firekeeper-ai/firekeeper/releases/latest/download/firekeeper-installer.ps1 | iex\"\n```\n\n\u003c/details\u003e\n\n\u003cdetails\u003e\n\n\u003csummary\u003enpm\u003c/summary\u003e\n\n```sh\nnpm install -g @firekeeper.ai/firekeeper\n```\n\n\u003c/details\u003e\n\n## Getting Started\n\nInit a config file `firekeeper.toml`:\n\n```bash\nfirekeeper init\n```\n\nSet LLM API key (OpenRouter by default):\n\n```bash\nexport FIREKEEPER_LLM_API_KEY=sk-xxxxxxxxxxxxxx\n```\n\nReview uncommitted changes or the last commit:\n\n```bash\nfirekeeper review\n```\n\n\u003cdetails\u003e\n\n\u003csummary\u003eMore examples\u003c/summary\u003e\n\n\u003e Review uncommitted changes only, suitable for git hooks or coding agent hooks:\n\u003e\n\u003e ```bash\n\u003e firekeeper review --base HEAD\n\u003e ```\n\u003e\n\u003e Review changes from 1 day ago with structured output, suitable for CI/CD pipelines:\n\u003e\n\u003e ```bash\n\u003e firekeeper review --base \"@{1.day.ago}\" --output /tmp/report.json --trace /tmp/trace.md\n\u003e ```\n\u003e\n\u003e Review all files (ensure you have sufficient LLM token budget):\n\u003e\n\u003e ```bash\n\u003e firekeeper review --base ROOT\n\u003e ```\n\n\u003c/details\u003e\n\n## FAQ\n\n### Why use a dedicated AI code reviewer instead of coding agents with MCP/Skills?\n\n- **Cost efficiency**: Reviewers need less coding capability than code generators, so you can use cheaper models (Gemini Flash vs Pro, Claude Haiku vs Opus)\n- **Integration**: CLI design fits naturally into git hooks and CI/CD pipelines\n- **Specialized tooling**: Reviewer agents can have a different, optimized tool set\n- **Performance at scale**: Parallel execution with filtered scopes keeps reviews fast and focused, preventing quality degradation on large codebases\n\n### Why doesn't this tool fix bugs after review?\n\nFixing bugs requires high-quality output (passing compilation and tests), which coding agents already handle well. To avoid duplicate responsibility, firekeeper focuses solely on code review.\n\n**Recommended workflow**: Integrate firekeeper in pre-commit git hooks → coding agent triggers the hook → sees review results → auto-optimizes the code.\n\n### What should I review with this tool?\n\n**Don't use for**: Issues caught by static analysis tools (formatters, linters, compilers, static analyzers). They're faster, more accurate, and cheaper.\n\n**Do use for**: Semantic rules and conventions that traditional tools can't detect:\n\n- Documentation updates after code changes\n- Error logging after exception handling\n- Code duplication that should be extracted into modules\n- Project-specific conventions and patterns\n\nThis tool is designed for **_user-defined rules_**, not built-in nitpicking.\n\n## [CHANGELOG](./CHANGELOG.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffirekeeper-ai%2Ffirekeeper","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffirekeeper-ai%2Ffirekeeper","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffirekeeper-ai%2Ffirekeeper/lists"}