brooks-lint is an AI-driven code review tool that diagnoses code decay risks using insights from classic engineering literature, providing actionable feedback and automated fixes.
Source: per README View on GitHub →brooks-lint is gaining attention due to its unique approach to code reviews, addressing the pain points of inconsistent and incomplete feedback from traditional tools. Its integration with Claude Code and Gemini CLI, along with its deep analysis based on classic engineering books, sets it apart in the market.
Source: Synthesis of README and project traitsEvaluates code against six decay risk dimensions, providing structured findings with book citations, severity labels, and concrete remedies.
Source: per READMESupports six analysis modes, including full-sweep auto-fix, to address various code review needs.
Source: per READMEIncorporates insights from twelve classic engineering books, providing context and depth to the code review process.
Source: per READMEThe architecture of brooks-lint suggests a modular design with clear separation of concerns. It likely uses design patterns such as Dependency Injection for flexibility and maintainability. The code tree indicates a focus on CLI tools and integration with various platforms like Claude Code and Gemini CLI.
Source: Code tree + dependency filesCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
@anthropic-ai/sdkbrooks-lint is suitable for developers and teams looking to improve code quality and maintainability. It is useful in scenarios such as PR reviews, architecture audits, tech debt assessments, and test quality reviews.
Source: READMEv1.3.0 (2026-05-24): Added Codex marketplace icon and interface metadata. v1.2.3 (2026-05-13): Added script for version propagation. v1.2.2 (2026-04-29): Reduced skill token usage. v1.2.1 (2026-04-28): Fixed Codex CLI compatibility issue. v1.2.0 (2026-04-24): Introduced brooks-sweep with a sequential autonomous pipeline.
Source: GitHub Releasesbrooks-lint is a promising tool for developers and teams aiming to enhance code quality and maintainability through a unique, AI-driven approach. Its integration with existing coding platforms and its deep analysis capabilities make it a valuable asset for those looking to improve their codebase's health and longevity.
brooks-lint is an AI-driven code review tool that diagnoses code decay risks using insights from classic engineering literature, providing actionable feedback and automated fixes.
brooks-lint's core features include: Decay Risk Diagnostics, Analysis Modes, Book Citations.
brooks-lint is gaining attention due to its unique approach to code reviews, addressing the pain points of inconsistent and incomplete feedback from traditional tools.
brooks-lint is suitable for developers and teams looking to improve code quality and maintainability. It is useful in scenarios such as PR reviews, architecture audits, tech debt assessments, and test quality reviews.