Brooks-Lint – AI code reviews grounded in 12 classic engineering books
I once managed a small team and hired an intern to develop the backend services for a software system. He used AI tools to write the entire project; while it ran correctly and produced the right results, the directory structure was atrocious upon review. Typically, a FastAPI service is organized into components like routers and services, but he had created an unnecessarily deep, multi-layered structure within the service layer—logic that should have simply been split across two or three files. The code lacked elegance. Recalling concepts from books on software project management, code…
Brooks-Lint – AI code reviews grounded in 12 classic engineering books launched on June 11, 2026 with 8 votes, #1,599 of 22,647 launches that month and more than 75% of that year's launches.
What it does
brooks-lint reviews code through 10 classic engineering books (Refactoring, Clean Code, DDIA, A Philosophy of Software Design...). Four modes: PR Review, Architecture Audit, Tech Debt Assessment, Test Quality Review. Each finding follows: Symptom → Source → Consequence → Remedy. v0.7.0 addsbrooks-lint.yaml project config, 10-book framework, and short-form commands.
AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix - hyhmrright/brooks-lint
In the maker’s words, at launch
I once managed a small team and hired an intern to develop the backend services for a software system. He used AI tools to write the entire project; while it ran correctly and produced the right results, the directory structure was atrocious upon review. Typically, a FastAPI service is organized into components like…
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