Tag: Claude API

Last refreshed: May 15, 2026

Most writing about CLAUDE.md gets one thing wrong in the first paragraph, and once you notice it, you can’t unsee it. People describe it as configuration. A “project constitution.” Rules Claude has to follow.

It isn’t any of those things, and Anthropic is explicit about it.

CLAUDE.md content is delivered as a user message after the system prompt, not as part of the system prompt itself. Claude reads it and tries to follow it, but there’s no guarantee of strict compliance, especially for vague or conflicting instructions. — Anthropic, Claude Code memory docs

That one sentence is the whole game. If you write a CLAUDE.md as if you’re programming a machine, you’ll get frustrated when the machine doesn’t comply. If you write it as context — the thing a thoughtful new teammate would want to read on day one — you’ll get something that works.

This is the playbook I wish someone had handed me the first time I set one up across a real codebase. It’s grounded in Anthropic’s current documentation (linked throughout), layered with patterns I’ve used across a network of production repos, and honest about where community practice has outrun official guidance.

If any of this ages out, the docs are the source of truth. Start there, come back here for the operator layer.

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The memory stack in 2026 (what CLAUDE.md actually is, and isn’t)

Claude Code’s memory system has three parts. Most people know one of them, and the other two change how you use the first.

CLAUDE.md files are markdown files you write by hand. Claude reads them at the start of every session. They contain instructions you want Claude to carry across conversations — build commands, coding standards, architectural decisions, “always do X” rules. This is the part people know.

Auto memory is something Claude writes for itself. Introduced in Claude Code v2.1.59, it lets Claude save notes across sessions based on your corrections — build commands it discovered, debugging insights, preferences you kept restating. It lives at ~/.claude/projects/<project>/memory/ with a MEMORY.md entrypoint. You can audit it with /memory, edit it, or delete it. It’s on by default. (Anthropic docs.)

.claude/rules/ is a directory of smaller, topic-scoped markdown files — code-style.md, testing.md, security.md — that can optionally be scoped to specific file paths via YAML frontmatter. A rule with paths: ["src/api/**/*.ts"] only loads when Claude is working with files matching that pattern. (Anthropic docs.)

The reason this matters for how you write CLAUDE.md: once you understand what the other two are for, you stop stuffing CLAUDE.md with things that belong somewhere else. A 600-line CLAUDE.md isn’t a sign of thoroughness. It’s usually a sign the rules directory doesn’t exist yet and auto memory is disabled.

Anthropic’s own guidance is explicit: target under 200 lines per CLAUDE.md file. Longer files consume more context and reduce adherence.

Hold that number. We’ll come back to it.

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Where CLAUDE.md lives (and why scope matters)

CLAUDE.md files can live in four different scopes, each with a different purpose. More specific scopes take precedence over broader ones. (Full precedence table in Anthropic docs.)

Managed policy CLAUDE.md lives at the OS level — /Library/Application Support/ClaudeCode/CLAUDE.md on macOS, /etc/claude-code/CLAUDE.md on Linux and WSL, C:\Program Files\ClaudeCode\CLAUDE.md on Windows. Organizations deploy it via MDM, Group Policy, or Ansible. It applies to every user on every machine it’s pushed to, and individual settings cannot exclude it. Use it for company-wide coding standards, security posture, and compliance reminders.

Project CLAUDE.md lives at ./CLAUDE.md or ./.claude/CLAUDE.md. It’s checked into source control and shared with the team. This is the one you’re writing when someone says “set up CLAUDE.md for this repo.”

User CLAUDE.md lives at ~/.claude/CLAUDE.md. It’s your personal preferences across every project on your machine — favorite tooling shortcuts, how you like code styled, patterns you want applied everywhere.

Local CLAUDE.md lives at ./CLAUDE.local.md in the project root. It’s personal-to-this-project and gitignored. Your sandbox URLs, preferred test data, notes Claude should know that your teammates shouldn’t see.

Claude walks up the directory tree from wherever you launched it, concatenating every CLAUDE.md and CLAUDE.local.md it finds. Subdirectories load on demand — they don’t hit context at launch, but get pulled in when Claude reads files in those subdirectories. (Anthropic docs.)

A practical consequence most teams miss: in a monorepo, your parent CLAUDE.md gets loaded when a teammate runs Claude Code from inside a nested package. If that parent file contains instructions that don’t apply to their work, Claude will still try to follow them. That’s what the claudeMdExcludes setting is for — it lets individuals skip CLAUDE.md files by glob pattern at the local settings layer.

If you’re running Claude Code across more than one repo, decide now whether your standards belong in project CLAUDE.md (team-shared) or user CLAUDE.md (just you). Writing the same thing in both is how you get drift.

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The 200-line discipline

This is the rule I see broken most often, and it’s the rule Anthropic is most explicit about. From the docs: “target under 200 lines per CLAUDE.md file. Longer files consume more context and reduce adherence.”

Two things are happening in that sentence. One, CLAUDE.md eats tokens — every session, every time, whether Claude needed those tokens or not. Two, longer files don’t actually produce better compliance. The opposite. When instructions are dense and undifferentiated, Claude can’t tell which ones matter.

The 200-line ceiling isn’t a hard cap. You can write a 400-line CLAUDE.md and Claude will load the whole thing. It just won’t follow it as well as a 180-line file would.

Three moves to stay under:

1. Use @imports to pull in specific files when they’re relevant. CLAUDE.md supports @path/to/file syntax (relative or absolute). Imported files expand inline at session launch, up to five hops deep. This is how you reference your README, your package.json, or a standalone workflow guide without pasting them into CLAUDE.md.

See @README.md for architecture and @package.json for available scripts.

# Git Workflow
- @docs/git-workflow.md

2. Move path-scoped rules into .claude/rules/. Anything that only matters when working with a specific part of the codebase — API patterns, testing conventions, frontend style — belongs in .claude/rules/api.md or .claude/rules/testing.md with a paths: frontmatter. They only load into context when Claude touches matching files.

---
paths:
  - "src/api/**/*.ts"
---
# API Development Rules

- All API endpoints must include input validation
- Use the standard error response format
- Include OpenAPI documentation comments

3. Move task-specific procedures into skills. If an instruction is really a multi-step workflow — “when you’re asked to ship a release, do these eight things” — it belongs in a skill, which only loads when invoked. CLAUDE.md is for the facts Claude should always hold in context; skills are for procedures Claude should run when the moment calls for them.

If you follow these three moves, a CLAUDE.md rarely needs to exceed 150 lines. At that size, Claude actually reads it.

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What belongs in CLAUDE.md (the signal test)

Anthropic’s own framing for when to add something is excellent, and it’s worth quoting directly because it captures the whole philosophy in four lines:

Add to it when:

• Claude makes the same mistake a second time
• A code review catches something Claude should have known about this codebase
• You type the same correction or clarification into chat that you typed last session
• A new teammate would need the same context to be productive — Anthropic docs

The operator version of the same principle: CLAUDE.md is the place you write down what you’d otherwise re-explain. It’s not the place you write down everything you know. If you find yourself writing “the frontend is built in React and uses Tailwind,” ask whether Claude would figure that out by reading package.json (it would). If you find yourself writing “when a user asks for a new endpoint, always add input validation and write a test,” that’s the kind of thing Claude won’t figure out on its own — it’s a team convention, not an inference from the code.

The categories I’ve found actually earn their place in a project CLAUDE.md:

Build and test commands. The exact string to run the dev server, the test suite, the linter, the type checker. Every one of these saves Claude a round of “let me look for a package.json script.”

Architectural non-obvious. The thing a new teammate would need someone to explain. “This repo uses event sourcing — don’t write direct database mutations, emit events instead.” “We have two API surfaces, /public/* and /internal/*, and they have different auth requirements.”

Naming conventions and file layout. “API handlers live in src/api/handlers/.” “Test files go next to the code they test, named *.test.ts.” Specific enough to verify.

Coding standards that matter. Not “write good code” — “use 2-space indentation,” “prefer const over let,” “always export types separately from values.”

Recurring corrections. The single most valuable category. Every time you find yourself re-correcting Claude about the same thing, that correction belongs in CLAUDE.md.

What usually doesn’t belong:

• Long lists of library choices (Claude can read package.json)
• Full architecture diagrams (link to them instead)
• Step-by-step procedures (skills)
• Path-specific rules that only matter in one part of the repo (.claude/rules/ with a paths: field)
• Anything that would be true of any project (that goes in user CLAUDE.md)

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Writing instructions Claude will actually follow

Anthropic’s own guidance on effective instructions comes down to three principles, and every one of them is worth taking seriously:

Specificity. “Use 2-space indentation” works better than “format code nicely.” “Run npm test before committing” works better than “test your changes.” “API handlers live in src/api/handlers/” works better than “keep files organized.” If the instruction can’t be verified, it can’t be followed reliably.

Consistency. If two rules contradict each other, Claude may pick one arbitrarily. This is especially common in projects that have accumulated CLAUDE.md files across multiple contributors over time — one file says to prefer async/await, another says to use .then() for performance reasons, and nobody remembers which was right. Do a periodic sweep.

Structure. Use markdown headers and bullets. Group related instructions. Dense paragraphs are harder to scan, and Claude scans the same way you do. A CLAUDE.md with clear section headers — ## Build Commands, ## Coding Style, ## Testing — outperforms the same content run together as prose.

One pattern I’ve found useful that isn’t in the docs: write CLAUDE.md in the voice of a teammate briefing another teammate. Not “use 2-space indentation” but “we use 2-space indentation.” Not “always include input validation” but “every endpoint needs input validation — we had a security incident last year and this is how we prevent the next one.” The “why” is optional but it improves adherence because Claude treats the rule as something with a reason behind it, not an arbitrary preference.

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Community patterns worth knowing (flagged as community, not official)

The following are patterns I’ve seen in operator circles and at industry events like AI Engineer Europe 2026, where practitioners share how they’re running Claude Code in production. None of these are in Anthropic’s documentation as official guidance. I’ve included them because they’re useful; I’m flagging them because they’re community-origin, not doctrine. Your mileage may vary, and Anthropic’s official behavior could change in ways that affect these patterns.

The “project constitution” framing. Community shorthand for treating CLAUDE.md as the living document of architectural decisions — the thing new contributors read to understand how the project thinks. The framing is useful even though Anthropic doesn’t use the word. It captures the right posture: CLAUDE.md is the place for the decisions you want to outlast any individual conversation.

Prompt-injecting your own codebase via custom linter errors. Reported at AI Engineer Europe 2026: some teams embed agent-facing prompts directly into their linter error messages, so when an automated tool catches a mistake, the error text itself tells the agent how to fix it. Example: instead of a test failing with “type mismatch,” the error reads “You shouldn’t have an unknown type here because we parse at the edge — use the parsed type from src/schemas/.” This is not documented Anthropic practice; it’s a community pattern that works because Claude Code reads tool output and tool output flows into context. Use with judgment.

File-size lint rules as context-efficiency guards. Some teams enforce file-size limits (commonly cited: 350 lines max) via their linters, with the explicit goal of keeping files small enough that Claude can hold meaningful ones in context without waste. Again, community practice. The number isn’t magic; the discipline is.

Token Leverage as a team metric. The idea that teams should track token spend ÷ human labor spend as a ratio and try to scale it. This is business-strategy content, not engineering guidance, and it’s emerging community discourse rather than settled practice. Take it as a thought experiment, not a KPI to implement by Monday.

I’d rather flag these honestly than pretend they’re settled. If something here graduates from community practice to official recommendation, I’ll update.

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Enterprise: managed-policy CLAUDE.md (and when to use settings instead)

For organizations deploying Claude Code across teams, there’s a managed-policy CLAUDE.md that applies to every user on a machine and cannot be excluded by individual settings. It lives at /Library/Application Support/ClaudeCode/CLAUDE.md (macOS), /etc/claude-code/CLAUDE.md (Linux and WSL), or C:\Program Files\ClaudeCode\CLAUDE.md (Windows), and is deployed via MDM, Group Policy, Ansible, or similar.

The distinction that matters most for enterprise: managed CLAUDE.md is guidance, managed settings are enforcement. Anthropic is clear about this. From the docs:

Settings rules are enforced by the client regardless of what Claude decides to do. CLAUDE.md instructions shape Claude’s behavior but are not a hard enforcement layer. — Anthropic docs

If you need to guarantee that Claude Code can’t read .env files or write to /etc, that’s a managed settings concern (permissions.deny). If you want Claude to be reminded of your company’s code review standards, that’s managed CLAUDE.md. If you confuse the two and put your security policy in CLAUDE.md, you have a strongly-worded suggestion where you needed a hard wall.

The right mental model:

Concern	Configure in
Block specific tools, commands, or file paths	Managed settings (permissions.deny)
Enforce sandbox isolation	Managed settings (sandbox.enabled)
Authentication method, organization lock	Managed settings
Environment variables, API provider routing	Managed settings
Code style and quality guidelines	Managed CLAUDE.md
Data handling and compliance reminders	Managed CLAUDE.md
Behavioral instructions for Claude	Managed CLAUDE.md

(Full table in Anthropic docs.)

One practical note: managed CLAUDE.md ships to developer machines once, so it has to be right. Review it, version it, and treat changes to it the way you’d treat changes to a managed IDE configuration — because that’s what it is.

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The living document problem: auto memory, CLAUDE.md, and drift

The thing that changed most in 2026 is that Claude now writes memory for itself when auto memory is enabled (on by default since Claude Code v2.1.59). It saves build commands it discovered, debugging insights, preferences you expressed repeatedly — and loads the first 200 lines (or 25KB) of its MEMORY.md at every session start. (Anthropic docs.)

This changes how you think about CLAUDE.md in two ways.

First, you don’t need to write CLAUDE.md entries for everything Claude could figure out on its own. If you tell Claude once that the build command is pnpm run build --filter=web, auto memory might save that, and you won’t need to codify it in CLAUDE.md. The role of CLAUDE.md becomes more specifically about what the team has decided, rather than what the tool needs to know to function.

Second, there’s a new audit surface. Run /memory in a session and you can see every CLAUDE.md, CLAUDE.local.md, and rules file being loaded, plus a link to open the auto memory folder. The auto memory files are plain markdown. You can read, edit, or delete them.

A practical auto-memory hygiene pattern I’ve landed on:

• Once a month, open /memory and skim the auto memory folder. Anything stale or wrong gets deleted.
• Quarterly, review the CLAUDE.md itself. Has anything changed in how the team works? Are there rules that used to matter but don’t anymore? Conflicting instructions accumulate faster than you think.
• Whenever a rule keeps getting restated in conversation, move it from conversation to CLAUDE.md. That’s the signal Anthropic’s own docs describe, and it’s the right one.

CLAUDE.md files are living documents or they’re lies. A CLAUDE.md from six months ago that references libraries you’ve since replaced will actively hurt you — Claude will try to follow instructions that no longer apply.

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A representative CLAUDE.md template

What follows is a synthetic example, clearly not any specific project. It demonstrates the shape, scope, and discipline of a good project CLAUDE.md. Adapt it to your codebase. Keep it under 200 lines.

# Project: [Name]

## Overview
Brief one-paragraph description of what this project is and who uses it.
Link to deeper architecture docs rather than duplicating them here.

See @README.md for full architecture.

## Build and Test Commands
- Install: `pnpm install`
- Dev server: `pnpm run dev`
- Build: `pnpm run build`
- Test: `pnpm test`
- Type check: `pnpm run typecheck`
- Lint: `pnpm run lint`

Run `pnpm run typecheck` and `pnpm test` before committing. Both must pass.

## Tech Stack
(Only list the non-obvious choices. Claude can read package.json.)
- We use tRPC, not REST, for internal APIs.
- Styling is Tailwind with a custom token file at `src/styles/tokens.ts`.
- Database migrations via Drizzle, not Prisma (migrated in Q1 2026).

## Directory Layout
- `src/api/` — tRPC routers, grouped by domain
- `src/components/` — React components, one directory per component
- `src/lib/` — shared utilities, no React imports allowed here
- `src/server/` — server-only code, never imported from client
- `tests/` — integration tests (unit tests live next to source)

## Coding Conventions
- TypeScript strict mode. No `any` without a comment explaining why.
- Functional components only. No class components.
- Imports ordered: external, internal absolute, relative.
- 2-space indentation. Prettier config in `.prettierrc`.

## Conventions That Aren't Obvious
- Every API endpoint validates input with Zod. No exceptions.
- Database queries go through the repository layer in `src/server/repos/`. 
  Never import Drizzle directly from route handlers.
- Errors surfaced to the UI use the `AppError` class from `src/lib/errors.ts`.
  This preserves error codes for the frontend to branch on.

## Common Corrections
- Don't add new top-level dependencies without discussing first.
- Don't create new files in `src/lib/` without checking if a similar 
  utility already exists.
- Don't write tests that hit the real database. Use the test fixtures 
  in `tests/fixtures/`.

## Further Reading
- API design rules: @.claude/rules/api.md
- Testing conventions: @.claude/rules/testing.md
- Security: @.claude/rules/security.md

That’s roughly 70 lines. Notice what it doesn’t include: no multi-step procedures, no duplicated information from package.json, no universal-best-practice lectures. Every line is either a command you’d otherwise re-type, a convention a new teammate would need briefed, or a pointer to a more specific document.

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When CLAUDE.md still isn’t being followed

This happens to everyone eventually. Three debugging steps, in order:

1. Run /memory and confirm your file is actually loaded. If CLAUDE.md isn’t in the list, Claude isn’t reading it. Check the path — project CLAUDE.md can live at ./CLAUDE.md or ./.claude/CLAUDE.md, not both, not a subdirectory (unless Claude happens to be reading files in that subdirectory).

2. Make the instruction more specific. “Write clean code” is not an instruction Claude can verify. “Use 2-space indentation” is. “Handle errors properly” is not an instruction. “All errors surfaced to the UI must use the AppError class from src/lib/errors.ts” is.

3. Look for conflicting instructions. A project CLAUDE.md saying “prefer async/await” and a .claude/rules/performance.md saying “use raw promises for hot paths” will cause Claude to pick one arbitrarily. In monorepos this is especially common — an ancestor CLAUDE.md from a different team can contradict yours. Use claudeMdExcludes to skip irrelevant ancestors.

If you need guarantees rather than guidance — “Claude cannot, under any circumstances, delete this directory” — that’s a settings-level permissions concern, not a CLAUDE.md concern. Write the rule in settings.json under permissions.deny and the client enforces it regardless of what Claude decides.

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FAQ

What is CLAUDE.md? A markdown file Claude Code reads at the start of every session to get persistent instructions for a project. It lives in a project’s source tree (usually at ./CLAUDE.md or ./.claude/CLAUDE.md), gets loaded into the context window as a user message after the system prompt, and contains coding standards, build commands, architectural decisions, and other team-level context. Anthropic is explicit that it’s guidance, not enforcement. (Source.)

How long should a CLAUDE.md be? Under 200 lines. Anthropic’s own guidance is that longer files consume more context and reduce adherence. If you’re over that, split with @imports or move topic-specific rules into .claude/rules/.

Where should CLAUDE.md live? Project-level: ./CLAUDE.md or ./.claude/CLAUDE.md, checked into source control. Personal-global: ~/.claude/CLAUDE.md. Personal-project (gitignored): ./CLAUDE.local.md. Organization-wide (enterprise): /Library/Application Support/ClaudeCode/CLAUDE.md (macOS), /etc/claude-code/CLAUDE.md (Linux/WSL), or C:\Program Files\ClaudeCode\CLAUDE.md (Windows).

What’s the difference between CLAUDE.md and auto memory? CLAUDE.md is instructions you write for Claude. Auto memory is notes Claude writes for itself across sessions, stored at ~/.claude/projects/<project>/memory/. Both load at session start. CLAUDE.md is for team standards; auto memory is for build commands and preferences Claude picks up from your corrections. Auto memory requires Claude Code v2.1.59 or later.

Can Claude ignore my CLAUDE.md? Yes. CLAUDE.md is loaded as a user message and Claude “reads it and tries to follow it, but there’s no guarantee of strict compliance.” For hard enforcement (blocking file access, sandbox isolation, etc.) use settings, not CLAUDE.md.

Does AGENTS.md work for Claude Code? Claude Code reads CLAUDE.md, not AGENTS.md. If your repo already uses AGENTS.md for other coding agents, create a CLAUDE.md that imports it with @AGENTS.md at the top, then append Claude-specific instructions below.

What’s .claude/rules/ and when should I use it? A directory of smaller, topic-scoped markdown files that can optionally be scoped to specific file paths via YAML frontmatter. Use it when your CLAUDE.md is getting long or when instructions only matter in part of the codebase. Rules without a paths: field load at session start with the same priority as .claude/CLAUDE.md; rules with a paths: field only load when Claude works with matching files.

How do I generate a starter CLAUDE.md? Run /init inside Claude Code. It analyzes your codebase and produces a starting file with build commands, test instructions, and conventions it discovers. Refine from there with instructions Claude wouldn’t discover on its own.

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A closing note

The biggest mistake I see people make with CLAUDE.md isn’t writing it wrong — it’s writing it once and forgetting it exists. Six months later it references libraries they’ve since replaced, conventions that have since shifted, and a team structure that has since reorganized. Claude dutifully tries to follow instructions that no longer apply, and the team wonders why the tool seems to have gotten worse.

CLAUDE.md is a living document or it’s a liability. Treat it the way you’d treat a critical piece of onboarding documentation, because functionally that’s exactly what it is — onboarding for the teammate who shows up every session and starts from zero.

Write it for that teammate. Keep it short. Update it when reality shifts. And remember the part nobody likes to admit: it’s guidance, not enforcement. For anything that has to be guaranteed, reach for settings instead.

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Sources and further reading

• Anthropic — How Claude remembers your project
• Anthropic — Claude Code overview
• Anthropic — Claude Code settings
• Anthropic — Claude Code skills

Community patterns referenced in this piece were reported at AI Engineer Europe 2026 and captured in a session recap. They represent emerging practice, not Anthropic doctrine.

Related on Tygart Media: how to use Claude · is Claude worth it.