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Fix 4 Expensive LLM Coding Habits with One CLAUDE.md File

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.

Original
andrej-karpathy-skills on GitHubOpen original externally↗
May 4, 2026
#Claude Code#CLAUDE.md#AI Coding#Prompting#Developer Workflow#Karpathy
Status & Access
Current access and latest update details.
Access
Free
Updated
Jun 1, 2026, 09:54 AM

LinkLoot AI review

Code checked, run has gaps

Score: 74/100
Code execution prepared for isolation

Reviewed loot: Fix 4 Expensive LLM Coding Habits with One CLAUDE.md File

md file is trending because it fixes four expensive LLM coding habits has practical evidence: install, dependency checks, and the relevant sandbox steps ran in isolation.

User decisionVerify first

Check first: try this loot isolated or with test data and read the open points below.

The value is practically supported because installation and relevant sandbox steps produced usable results.Judges how careful a user should be when trying it: permissions, network use, dependencies, and hard warnings.
Reasons to use it
  • Sources, external URL, and visible link/site signals were reviewed.
  • Install surface, scripts, dependencies, and suspicious patterns were checked statically.
  • Optional page snapshot. For code repositories this is context, not security proof.
  • The scan found no package manifests or lockfile dependencies. There was nothing reliable to check against CVE/advisory databases; this reduces attack surface but does not replace a functi...
Reasons to be careful
  • 2 spots mention credentials, browser sessions, root/admin mode, proxies, or similar access-sensitive behavior. This fits the tool category, but it means testing should happen with throwaw...
  • Network access was enabled for dependency installation. No LinkLoot secrets were present in the container, but this is still a stronger review warning.
  • The sandbox read README/tutorial files and listed repository files, but did not run a Claude Code session. The claim of smaller diffs, fewer wrong assumptions, or better success criteria...
  • Easy to try: Judges whether a normal user can repeat the first setup with reasonable effort.

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
Sources & links
References, demos, and supporting links.
andrej-karpathy-skills on GitHubgithub.comPrimaryRaw CLAUDE.md fileraw.githubusercontent.com
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