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The complete guide to claude code configuration file

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What Is a Claude Code Configuration File?



A Claude Code configuration file is a structured file — either CLAUDE.md (a Markdown document) or settings.json (a JSON schema file) — that controls how the Claude Code AI coding assistant behaves within a project or organization. These files define the agent's permissions, memory context, tool access, allowed shell commands, and behavioral guardrails. Without them, Claude Code operates with broad defaults that may not align with your security posture or project conventions.



Claude Code reads configuration from multiple locations in a defined hierarchy: a global user-level ~/.claude/settings.json, a project-level .claude/settings.json at the repo root, and one or more CLAUDE.md files that can be nested in subdirectories. The agent merges these at startup, with project-level settings taking precedence over global ones. Understanding that hierarchy isn't optional — it's the foundation of any serious deployment.






Why Claude Code Configuration Files Matter in 2026



Claude Code has moved from a tool used by individual engineers to something teams are deploying org-wide, running in CI/CD pipelines, and integrating with production infrastructure. That shift changes the risk profile completely. A misconfigured agent with shell access and no guardrails isn't a productivity tool anymore — it's a liability.



Anthropic's own documentation on covers CI/CD-specific configuration patterns in detail.






Enterprise Policy Files



Organizations deploying Claude Code at scale can push configuration through an enterprise policy file, which sits above the user-level settings in the hierarchy and cannot be overridden by individual developers. This is the right mechanism for enforcing baseline security requirements — things like blocking access to credential files, requiring specific MCP server configurations, or disabling certain tool categories entirely. The policy file path on macOS is /Library/Application Support/ClaudeCode/policies.json; on Linux it's /etc/claude-code/policies.json.






Best Tools and Solutions for Claude Code Configuration



Managing configuration files manually across a large engineering team doesn't scale. Several approaches have emerged as practical:



Dotfiles and internal tooling. Teams that already manage developer environment configuration through a dotfiles repository or internal tooling can add Claude Code's global settings to that workflow. The ~/.claude/ directory is just files — it can be templated with tools like Chezmoi or managed as a Nix home-manager module.



Policy-as-code in the repo. Committing .claude/settings.json to the repository itself gives you version history, code review, and change attribution for every configuration update. This is the practice we recommend most strongly. It also means new engineers who clone the repo immediately inherit the correct agent configuration without manual setup.



Security scanning. At publishes reference configuration templates covering common deployment scenarios — web services, data pipelines, and multi-repo monorepo setups.






Frequently Asked Questions






Where does Claude Code look for configuration files?



Claude Code reads configuration from four locations in priority order: an enterprise policy file at a system-wide path (/etc/claude-code/policies.json on Linux, /Library/Application Support/ClaudeCode/policies.json on macOS), a global user settings file at ~/.claude/settings.json, a project-level settings file at .claude/settings.json relative to the repo root, and one or more CLAUDE.md files at the repo root or in subdirectories. Enterprise policy takes highest precedence and cannot be overridden. Project-level settings override global user settings for values that appear in both.






What is the difference between CLAUDE.md and settings.json?



CLAUDE.md is a natural-language document injected into the model's context at the start of each session. It shapes agent behavior through instructions, conventions, and constraints written in plain text — it doesn't enforce anything mechanically. settings.json is a structured schema that controls the agent at the system level: which Bash commands are allowed or denied without user approval, which MCP servers are configured, and what tool categories are available. Both matter. CLAUDE.md guides judgment; settings.json enforces hard limits.






Can I use Claude Code configuration files in CI/CD?



Yes, and you should. Committing .claude/settings.json to the repository means the pipeline inherits the same configuration as local development, with any additional restrictions you add for the non-interactive environment. The key difference in CI is that there's no human to approve tool calls at runtime — every allowed operation must be explicitly declared in the configuration before the pipeline runs. Keep a separate, more restrictive settings.json for CI by using environment-specific config paths or by scoping permissions tightly in the default project config.






How do I prevent Claude Code from accessing sensitive files?



Use the permissions.deny array in settings.json to block read and write operations on sensitive paths. Common patterns to deny include **/.env, **/secrets/**, **/.aws/credentials, and any directory containing private keys or tokens. Additionally, add explicit instructions to your CLAUDE.md naming off-limits files and directories — the combination of a mechanical deny rule and a contextual instruction provides defense in depth. For highly sensitive repositories, consider running Claude Code in a sandboxed environment where file system access is restricted at the OS level, independent of agent configuration.






What is a Claude Code configuration file?



A Claude Code configuration file is a structured document — either CLAUDE.md or settings.json — that defines how the Claude Code AI coding assistant behaves in a given project or environment. These files control permissions, memory context, tool access, and behavioral constraints. They are the primary mechanism for aligning the agent's capabilities with your security requirements and project conventions.






How does Claude Code configuration work?



At startup, Claude Code merges configuration from its full hierarchy — enterprise policy, global user settings, and project-level settings — into a unified configuration object. The CLAUDE.md content is injected into the model's context as a standing instruction. The settings.json permissions are applied at the tool-execution layer, determining which operations require interactive approval and which are pre-approved. Changes to configuration files take effect on the next session start; they do not apply mid-session.






What are the best Claude Code configuration tools?



The most effective approach combines version-controlled configuration files in the repository, an enterprise policy file pushed via internal tooling for org-wide baselines, and automated scanning to detect permissive rules or drift. Dedicated security scanning — like what the for org-wide policy configuration if you're deploying to a team.






What are common Claude Code configuration mistakes to avoid?



The most dangerous mistake is using broad allow patterns like bash(*) that disable all permission guardrails. Second is treating CLAUDE.md as a substitute for mechanical permissions — natural language instructions can be overridden by prompt injection; settings.json deny rules cannot. Third is failing to audit configuration after Claude Code version updates, which can introduce new default behaviors or deprecate existing schema fields. Fourth is using the same configuration for interactive development sessions and CI pipelines, when CI requires more restrictive settings due to the absence of human oversight. Finally, never put sensitive values directly in CLAUDE.md — that content is visible in the model's context and may appear in logs.

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