Brooks-Lint is an MIT-licensed AI code-review tool with an unusual, opinionated angle: rather than counting lines or cyclomatic complexity, it diagnoses software-quality "decay risks" (six for production code, six for test suites) and grounds each finding in twelve classic engineering books (Brooks, McConnell, Fowler, Martin, Hunt & Thomas, Evans, Ousterhout, Winters et al., Osherove, Whittaker et al., Feathers, Meszaros). Output is structured as "Symptom → Source → Consequence → Remedy" with severity labels, book citations, and a 0–100 Health Score. Six modes: PR Review, Architecture Audit, Tech Debt Assessment, Test Quality Review, Health Dashboard, and Full Sweep (auto-fix). It installs through the Agent Skills standard across Claude Code, Gemini CLI, Codex CLI, OpenCode, Cursor, Windsurf, Antigravity, pi, GitHub Copilot, Kiro, and Factory Droid. Claude Code, Gemini CLI, and Codex CLI are maintainer-verified; the other listed platforms are documented and installer/file-layout tested but not all maintainer-run end to end. CI runs through GitHub Actions with fail-below, severity, and regression gates plus SARIF output for GitHub Code Scanning; project behavior is configured with .brooks-lint.yaml. Language-agnostic. The project documents "~$0.05–0.15 per PR run" as a vendor estimate that depends on diff size and model. Vendor-published benchmark claims, not independently reproduced by Aicoolies: an illustrative three-scenario table reports a "94%" overall pass rate for Brooks-Lint versus "16%" for Claude alone, and 100% structured-finding compliance versus 0%. Separately, the maintainer publishes a frozen 30-report parser benchmark with 30/30 exact severity-count matches and valid SARIF output; that corpus measures report-parsing fidelity, not whether model findings are correct. Brooks-Lint documents no hosted service or product telemetry; analysis content is sent through the configured coding agent/model provider, so that provider's data-handling terms apply.
Brooks-Lint
AI code review grounded in twelve classic software-engineering books
Open-source (MIT) AI reviewer with a distinctive angle: findings are grounded in twelve classic engineering books, cited by source, and framed as decay-risk diagnostics with a 0–100 Health Score. Runs as an Agent Skill across Claude Code, Gemini CLI, Codex, and other coding agents, with GitHub Actions quality gates and SARIF output.
Pricing
Free and open-source (MIT). No product fee; the project estimates ~$0.05–0.15 per PR run in pass-through LLM API cost.
Platforms
Agent Skill for Claude Code, Gemini CLI, Codex CLI, OpenCode, Cursor, Windsurf, Antigravity, pi, GitHub Copilot, Kiro, and Factory Droid. Claude, Gemini, and Codex are maintainer-verified; others are documented and installer-tested. Slash-command workflow; GitHub Actions fail-below, severity, and regression gates; SARIF/Code Scanning; `.brooks-lint.yaml`; language-agnostic. No hosted service or product telemetry documented; configured model-provider data terms apply.
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