AI2026-03-20📖 8 min read

How to Standardize Your Dev Experience with Claude Code's Global CLAUDE.md

How to Standardize Your Dev Experience with Claude Code's Global CLAUDE.md

Claude Code supports a global CLAUDE.md file that lets you define instructions shared across all your projects. This guide covers how to set it up and practical patterns for getting the most out of it in real-world development.

髙木 晃宏

代表 / エンジニア

👨‍💼

Once you start using an AI coding assistant every day, you'll inevitably hit a familiar frustration: writing the same instructions over and over again. Repeating commit message conventions and coding style preferences for each new project is a surprisingly persistent source of friction. Claude Code has a built-in solution for this called the global CLAUDE.md. This article explains how it works and how to use it effectively in practice.

What Is CLAUDE.md?

Claude Code automatically reads a Markdown file called CLAUDE.md from your working directory and uses it as context for the conversation. Whatever you write there directly shapes how Claude Code behaves — influencing code generation, review decisions, and more.

For example, if you write "use camelCase for all variable names," Claude Code will follow that convention in the code it generates. Without any such guidance, it falls back on general best practices, which may not align with your project's specific conventions. CLAUDE.md is essentially a bridge for making implicit knowledge explicit and sharing it with the AI.

One important thing to understand is that there are two scopes of CLAUDE.md:

  • Project CLAUDE.md: placed at the repository root, defines rules specific to that project
  • Global CLAUDE.md: placed at ~/.claude/CLAUDE.md, applied across all projects

I started out using only the project-level file, but after working across multiple repositories I found myself copy-pasting the same rules everywhere. When I discovered the global CLAUDE.md, it felt like exactly what I'd been missing.

The project CLAUDE.md can be committed to the repository, so every team member uses Claude Code under the same rules. The global CLAUDE.md lives in your home directory and is personal — it's never shared with your team. This distinction is what makes the "separation of concerns" approach described later so useful.

How to Set Up the Global CLAUDE.md and How Priority Works

Setup is straightforward: just create a file at ~/.claude/CLAUDE.md. No special commands or initialization required.

mkdir -p ~/.claude touch ~/.claude/CLAUDE.md

Open the file in your editor and write your rules in Markdown. Using headings and bullet points to structure the content makes it much easier to revisit later.

When a conversation starts, Claude Code loads both the global CLAUDE.md and the project CLAUDE.md. When the two conflict, the project file takes precedence — which makes it natural to put general rules in the global file and project-specific overrides in the project file.

The priority order looks like this:

  1. Project CLAUDE.md (the CLAUDE.md at the repository root) — highest priority
  2. Global CLAUDE.md (~/.claude/CLAUDE.md) — applied when the project file has no conflicting entry

For example, you could define "write commit messages in Japanese" globally, then override it with "write commit messages in English" in a project for an English-speaking client. This means content in your global file will never accidentally break behavior in a specific project.

How granular to make your rules depends on your team. Being overly prescriptive can reduce flexibility, so I recommend starting with a minimal set of rules and expanding over time. I started with just three lines. As you work, the things you want to standardize tend to surface naturally.

Effective Patterns for Real-World Use

If you're wondering what to actually put in this file, here are some patterns that have made a noticeable difference in practice.

Standardizing Response Language

For Japanese-speaking teams, a single line — respond in Japanese — eliminates the need to specify the language every time. It's a small thing, but it adds up quickly day-to-day.

Since Claude Code defaults to English, this is arguably the first line any Japanese speaker should add. No longer having to write "please respond in Japanese" mid-conversation helps you stay in flow.

Commit Message Conventions

Defining a format like Conventional Commits and specifying the language produces consistent commit messages from Claude Code, improving the readability of your git log across the entire team. The return on this small investment is high.

Here's an example:

## Commit Messages - Write in Japanese - Use Conventional Commits format: - feat: new feature - fix: bug fix - docs: documentation - refactor: refactoring - test: tests - chore: miscellaneous

With this defined, asking Claude Code to commit produces messages like feat: ユーザー認証機能を追加 consistently. Before setting this globally, my commit message format varied by repository. Now every repo's git log reads the same way.

Build and Test Policies

Adding guardrails like "don't run builds unless explicitly asked" and "don't write meaningless tests" reduces the risk of Claude Code taking unintended actions. Looking back, a few incidents where unnecessary builds ran without warning were what motivated me to be more thorough here.

In frameworks like Next.js, builds can take anywhere from several seconds to a few minutes. If Claude Code runs next build just to verify something, your terminal gets occupied the whole time. Adding "don't run builds unless explicitly asked" put a stop to these surprise builds and kept my workflow intact.

Code Quality Guardrails

Beyond builds and tests, it's worth setting guardrails on code generation itself.

## Code Generation - Don't auto-generate unnecessary comments or documentation - Review existing code before implementing to avoid duplication

AI assistants, trying to be thorough, will sometimes attach JSDoc comments to every function or generate README files automatically. If your team's policy is "only comment complex logic," you don't want unwanted comments appearing everywhere. Defining these rules globally ensures consistent code quality across all your projects.

Things to Watch Out for When Writing the Global CLAUDE.md

Once you've been using the file for a while, you start to notice that how you write things matters too.

Keep It Concise

The contents of CLAUDE.md consume tokens from the context window. Packing in lengthy explanations and background information reduces the token budget available for actual code generation. Write rules as concise bullet points, adding a brief explanation only when necessary.

In my experience, 50–80 lines is a comfortable upper bound for the global CLAUDE.md. If it grows beyond that, ask yourself whether everything there really applies to all projects — project-specific content belongs in the project-level file.

Be Specific

Vague instructions like "write clean code" are far less effective than concrete ones like "use camelCase for variable names" or "keep functions under 30 lines." Claude Code responds to clear criteria just as people do — ambiguous requests produce ambiguous results.

Review It Periodically

CLAUDE.md isn't a one-time setup. As your development style evolves and you pick up new insights, it's worth revisiting. I check my global CLAUDE.md roughly once a month, asking "is this rule still needed?" and "is there anything new I should add?"

Thinking About Team Adoption

Because the global CLAUDE.md lives under ~/.claude/, it's personal to each developer's environment. The project CLAUDE.md, on the other hand, is committed to the repository and shared with the whole team.

Leveraging this distinction naturally leads to a clean separation: team-wide rules go in the project file, personal preferences and environment-specific settings go in the global file. As a rough guide, review policies and branching strategies belong in the project file; response language and editor preferences belong in the global file.

For teams getting started, here's a practical sequence:

  1. Start with the project CLAUDE.md: Define rules everyone must follow — branching strategy, coding conventions, test policies.
  2. Have each member create their own global CLAUDE.md: Reflect personal preferences like response language or editor setup.
  3. Adjust as you go: As you notice "this should've been in the project file" or "this is fine globally," optimize the placement over time.

The key is not to aim for perfection upfront. CLAUDE.md is less like a configuration file and more like a shared understanding between you and the AI — something that grows alongside your team. Thinking of it that way lowers the barrier to getting started.

Also worth repeating: CLAUDE.md content consumes context window tokens. Avoid overloading it, since doing so reduces the budget available for the work itself.

Quick Reference: Global vs. Project CLAUDE.md

When you're unsure where a particular setting belongs, this table can help:

SettingGlobalProject
Response language (e.g. respond in Japanese)
Commit message conventions○ (override)
Branching strategy
Test policies△ (generic)○ (specific)
Build command controls○ (override)
Coding conventions△ (generic)○ (language-specific)
API specs / environment variable handling

"△" means the rule can live globally in a generic form, but should be overridden in the project file when project-specific needs arise.

Wrapping Up

The global CLAUDE.md is how you define your personal defaults for AI-assisted development. Set it up once, and you get a consistent experience across every project you work on. That a single config file can meaningfully change your development efficiency is a familiar idea for engineers — and this is no exception.

The simplest first step is to create ~/.claude/CLAUDE.md and write one line: "respond in Japanese." From there, add rules gradually. At some point, Claude Code will start to feel less like a generic tool and more like a collaborator that understands how you work. That's the kind of partnership that AI-assisted development makes possible, and it's something I feel more and more in my daily work.

At aduce, we help teams adopt modern AI tools like Claude Code to improve their development processes and drive digital transformation. If you have questions about AI-assisted development workflows, feel free to reach out through aduce's contact page.