@IfanJew: https://github.com/hyhmrright/brooks-lint… Very very good! It tries to avoid the problem of AI generating crap code. I don't understand why it has so few stars. It's way better than those other exaggerated skills.
Summary
brooks-lint is an AI code review tool based on twelve classic software engineering books, providing structured, traceable code regression risk assessment and repair suggestions, aiming to avoid quality issues in AI-generated code.
View Cached Full Text
Cached at: 06/08/26, 03:16 AM
brooks-lint
AI code reviews grounded in twelve classic engineering books. Consistent. Traceable. Actionable.
English · 简体中文
The Six Decay Risks • What It Looks Like • Benchmark • Installation
→ Visit the website
⭐ If this tool helped you see your codebase differently, give it a star!
Similar Articles
@Xudong07452910: The best AI coding workflow might be to let AI gradually solidify its instability into a system. The author developed a source code management system for the LLM era using Fable, and the experience is very real: the model is smart, can read large amounts of code, raise issues, and fix problems, but it also makes very low-level mistakes, such as committing the build/ directory twice…
A blog post discusses the need to complement brilliant but clumsy LLMs with deterministic tools and formal workflows, using the author's experience developing the Beagle SCM with Fable as an example.
@geekbb: Code Shit Mountain Analysis Skills generates rigorous, professional code review reports. The name may be crude, but every report is calm, structured, evidence-driven, and actionable. https://github.com/XiNian-dada/Fuck_My_Shit_Mountain…
Code Shit Mountain Analysis Skills is an AI skill/prompt framework for generating rigorous, professional code review reports, supporting multiple audit modes and HTML output.
@yaohui12138: Karpathy released a GitHub open-source project that truly amazed me. The project is called andrej-karpathy-skills, with 130k+ stars on GitHub. I'd call it the most useful AI engineering project of 2026. The problem it solves is extremely precise: making Cl…
Karpathy released an open-source project called andrej-karpathy-skills, centered around a 4KB CLAUDE.md file containing 4 behavioral guidelines (Think Before Coding, Simplicity First, Surgical Changes, Goal-Driven Execution). It significantly reduces AI coding error rates (up to 90%), improving code quality and development efficiency.
@cevenif: Guys, I found an open-source project called AGENTS Book Rules that can instantly upgrade your AI coding tools into programming masters! The essence of 13 classic programming books can now be directly fed to AI. From Clean Code to Domain-Driven Design, and Refactoring—the core principles of these must-read books…
Introduces an open-source project called AGENTS Book Rules, which organizes the core principles of 13 classic programming books (such as Clean Code, Domain-Driven Design, etc.) into rule files that can be directly used with AI coding tools like Claude Code, Codex, and Cursor to improve code quality and architecture design capabilities.
@GitHub_Daily: Many beginners use AI to write code, but when projects report errors, they can't debug themselves, and repeatedly ask AI, unable to quickly locate the problem. ownyourcode, a tool that makes AI a mentor not a coder, only responsible for guiding, questioning, reviewing, we still write the code ourselves. Before each development task is completed, it must pass six quality gates, forcing...
ownyourcode is a tool that makes AI act as a mentor rather than a code generator, helping developers truly understand code through guidance, questioning, and review. The project includes six quality gates.