A concrete CLAUDE.md example that pushes coding agents toward clearer assumptions, simpler solutions, narrower edits, and better success criteria. Useful for teams that want LLM coding behavior to become more reproducible. Yes — this is Loot-worthy, because the value is unusually concrete. It is not another vague “AI coding tips” thread. It is a single CLAUDE.md file that tries to reduce four very real failure modes in coding agents: silent assumptions, overengineering, broad unrelated edits, and weak success criteria. The proven value The repo’s four principles are tight and practical: Think Before Coding → surface assumptions and ambiguity Simplicity First → cut speculative abstractions Surgical Changes → avoid touching unrelated code Goal-Driven Execution → define success criteria and verify them Why it is getting traction maps directly to pain developers already recognize instantly usable as a CLAUDE.md drop-in lightweight enough to merge with project-specific rules gives a measurable outcome: smaller diffs, fewer rewrites, more clarification before breakage
