This project packages four principles—Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution—into a Claude Code plugin or CLAUDE.md file to curb LLM code pitfalls like overengineering and hidden assumptions. It enforces explicit reasoning, minimal edits, and test-driven success criteria to produce cleaner, more accurate AI-generated code.

This article breaks down the key sections and best practices for your CLAUDE.md file, the project context guide that Claude Code reads before writing or editing code. It covers what to include—from project overview and tech stack to safety rules and commands—so the AI stays aligned with your repo’s structure and standards.

The Smol Training Playbook on Hugging Face provides a comprehensive guide for efficiently training machine learning models using the Hugging Face ecosystem. It emphasizes best practices and methodologies for optimizing training processes, making it accessible for both beginners and experienced practitioners. The playbook also includes practical examples and resources to enhance the learning experience.