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CLAUDE.md is a project-level configuration file that gives Claude Code context about your codebase. When Claude Code opens a repository, it automatically reads the CLAUDE.md file from the project root and uses those instructions to guide its behavior throughout the entire session. Think of it as a persistent system prompt that travels with your code, not with your conversation.
Without a CLAUDE.md, Claude Code has to infer your coding standards from the files it reads. This leads to inconsistent style choices, wrong framework patterns, and wasted tokens on back-and-forth corrections. A well-written CLAUDE.md eliminates this guesswork by explicitly declaring your language conventions, testing requirements, architectural patterns, and deployment rules upfront.
The file uses standard Markdown and supports sections for project overview, directory structure, build commands, coding style, pitfalls to avoid, and example prompts. Most production CLAUDE.md files are between 80 and 200 lines. Shorter files leave too much to inference; longer files waste input tokens on every request.
Adding a CLAUDE.md to your repository delivers measurable improvements to Claude Code's output quality and cost efficiency. Here is what changes when you add one:
This generator supports four coding style presets. Each one produces a different set of rules in the generated CLAUDE.md. Here is how they compare:
| Style | Philosophy | Best For | Rules Count |
|---|---|---|---|
| NASA Power of 10 | Zero tolerance for ambiguity. Every function bounded, every return checked. | Safety-critical systems, fintech, infrastructure | 10 core rules |
| Karpathy 4 Principles | Simplicity first. Readable code beats clever code. Ship fast, iterate. | ML/AI projects, prototyping, research | 4 core principles |
| Balanced | Pragmatic mix of strictness and velocity. Reasonable defaults. | Most production web apps, SaaS, APIs | 8 rules |
| Minimal | Just the essentials. Trust the developer, minimize process overhead. | Small scripts, hackathons, solo projects | 4 rules |
Place it in the root directory of your repository, at the same level as your package.json, Cargo.toml, or pyproject.toml. Claude Code reads it automatically when it opens the project. You can also place additional CLAUDE.md files in subdirectories for module-specific instructions that override or extend the root file.
CLAUDE.md is specific to Claude Code (Anthropic's CLI agent). However, the concept translates well. Cursor uses .cursorrules files with a similar approach. Many teams maintain both a CLAUDE.md and a .cursorrules file that share the same core conventions. The rules themselves (coding style, framework patterns, testing requirements) are universal regardless of the tool.
Aim for 80 to 200 lines. Under 80 lines and you are leaving too much to inference, leading to inconsistent output. Over 200 lines and you are consuming excessive input tokens on every request without proportional quality improvement. This generator produces files in that sweet spot based on your selections.
Yes, absolutely. CLAUDE.md should be treated like any other project configuration file such as .editorconfig, .eslintrc, or tsconfig.json. Committing it ensures every team member and every CI/CD pipeline gets the same Claude Code behavior. It also creates a versioned history of your coding standards as they evolve.
Yes. Claude Code reads the CLAUDE.md closest to the file being edited. In a monorepo with packages/frontend/ and packages/api/, you can place a root CLAUDE.md with shared conventions and additional CLAUDE.md files in each package with framework-specific rules. The package-level file supplements the root file.
A CLAUDE.md file is read as input context on every interaction, so it consumes input tokens. A typical 150-line file costs approximately 500-800 input tokens per request. However, this upfront cost is recouped many times over by eliminating correction cycles, reducing output length (because Claude gets it right the first time), and avoiding wasted tokens on framework confusion. Net savings are typically 30-50% lower total token usage.
For most teams building production web applications, start with Balanced. It provides sensible defaults without being overly restrictive. Switch to NASA Power of 10 if you work in safety-critical domains (fintech, healthcare, infrastructure) where every edge case matters. Use Karpathy 4 Principles for ML/research projects where iteration speed matters more than strict convention. Use Minimal for personal projects, scripts, and hackathons.
Yes, and you should. This generator produces a solid starting point, but every project has unique conventions. After downloading, add your specific architectural decisions, custom linting rules, naming conventions, and any team-specific patterns that Claude should follow. The generated file includes clear section headers to make editing straightforward.