Claude Code Best Practices

1. Introduction

Claude Code is a command-line tool from Anthropic designed to give engineers and researchers a low-level, unopinionated way to seamlessly integrate Claude AI into their coding workflows. Its design philosophy emphasizes flexibility and customizability — it doesn’t enforce any specific workflow, supports multiple languages and environments, and adapts to diverse development needs.

2. Environment Configuration and Optimization

2.1 Creating a CLAUDE.md File

• CLAUDE.md is a key file that Claude Code automatically includes in its context. Use it to document common Bash commands, core files, code style guides, testing instructions, and repository conventions.
• Keep the file concise and readable. Place it in the repository root and commit it to version control so the team can share and continuously update it.
• Use the /init command to auto-generate an initial CLAUDE.md, then iteratively refine it based on project needs.
• This file significantly improves Claude’s understanding of project context and its ability to follow instructions.

2.2 Permission Presets

• Avoid using --dangerously-skip-permissions to reduce risk. Instead, use the /permissions command to pre-approve clearly safe, commonly used commands and minimize permission prompt interruptions.
• Commit the permission configuration file .claude/settings.json to version control to ensure consistent environments across team members. (Reference: 13 Pro Tips from the Claude Code Authors to Double Your Coding Efficiency)

3. Workflows and Interaction Tips

3.1 Common Workflows

• Explore → Plan → Code → Commit: Have Claude read relevant files or resources first, clarify requirements, then start coding — avoid writing code blindly.
• Test-Driven Development (TDD): Have Claude write test cases first, confirm the tests fail, then implement the feature code to ensure quality.
• Visual Target-Based Iteration: Paste design screenshots or visual mockups to guide Claude’s implementation, iterating until the result matches expectations.

3.2 Prompt Design

• Instructions should be specific and explicit — avoid vague descriptions to improve Claude’s comprehension accuracy.
• Use trigger words like “think”, “think hard”, “think harder”, “ultrathink” to activate extended thinking mode.
• Use the /clear command regularly to clean up context and keep conversations focused.
• Double-press Escape to quickly recall previous prompts for easy adjustment and retry.

4. Permission Management and Tool Integration

• Claude Code requests permission by default for operations that may modify the system. Users can manage the allowed tools list in several ways: in-session selection, the /allowed-tools command, editing configuration files, or CLI flags.
• Supports integration with Bash, MCP, GitHub CLI, and other tools. Document tool usage in CLAUDE.md to enhance automation capabilities.
• Automate repetitive workflows with custom slash commands stored in the .claude/commands/ directory, with support for parameter passing. (Reference: 13 Pro Tips from the Claude Code Authors to Double Your Coding Efficiency)

5. Automation and Extended Features

5.1 Slash Commands and Subagents

• Slash commands encapsulate commonly used prompt templates, reducing repetitive input and improving efficiency.
• Subagents can break down complex tasks and automate common PR workflows such as code simplification and end-to-end testing.
• Combine with Hooks to auto-format code, ensuring consistent code style and avoiding CI failures. (Reference: 13 Pro Tips from the Claude Code Authors to Double Your Coding Efficiency)

5.2 Handling Long-Running Tasks

• For time-consuming tasks, use background agent verification, Agent Stop hooks, and plugin assistance to ensure task completion is deterministic and stable.
• In sandbox environments, use --permission-mode=dontAsk or --dangerously-skip-permissions to avoid permission blocking. (Reference: 13 Pro Tips from the Claude Code Authors to Double Your Coding Efficiency)

6. Multi-Instance and Parallel Work

• Supports running multiple sessions in parallel both locally and in the cloud. Open multiple Claude Code instances in your terminal and use system notifications to manage input timing.
• Use Git worktrees or headless mode for multi-instance parallelism, handling different project modules or tasks separately to boost overall development efficiency.
• Combine terminal tab numbering with notification mechanisms for convenient management of multiple worktrees and sessions. (Reference: 13 Pro Tips from the Claude Code Authors to Double Your Coding Efficiency)

7. Verification and Quality Assurance

• A key practice is providing Claude with verification mechanisms — such as automatically running tests, builds, and UI tests — to create a closed feedback loop that significantly improves code quality.
• Use Chrome extensions or other automation tools to perform end-to-end verification on committed code, ensuring correct functionality and good user experience.
• Adopt a “trial-and-rollback” strategy with frequent checkpoint commits, enabling experimental development with controlled risk. (Reference: 13 Pro Tips from the Claude Code Authors to Double Your Coding Efficiency) (Reference: How Anthropic teams use Claude Code)

8. Team Collaboration and Knowledge Sharing

• Teams maintain a shared CLAUDE.md file, continuously updating it with error cases, commands, and style guidelines to improve overall team efficiency and consistency.
• During code reviews, use @.claude to automatically feed review comments back into CLAUDE.md, creating a virtuous cycle of knowledge accumulation.
• Share configuration and tool integration files (such as .mcp.json) to unify environments and facilitate cross-member collaboration. (Reference: 13 Pro Tips from the Claude Code Authors to Double Your Coding Efficiency) (Reference: How Anthropic teams use Claude Code)

9. Typical Use Cases

• Codebase Understanding and Navigation: Quickly locate relevant files and call relationships, saving time on context building.
• Unit Test Generation: Automatically cover edge cases, reducing the burden of test design.
• Cross-Language Code Conversion: Verify functionality in a new language without needing to master it.
• Automating Repetitive Tasks: Such as sending Slack messages, running BigQuery queries, fetching error logs, etc.
• Rapid Prototyping: Paste design mockups to generate interactive prototypes, shortening the design-to-implementation cycle.
• Security Review and Compliance: Assist legal and security teams in assessing integration risks. (Reference: How Anthropic teams use Claude Code)

10. Advanced Recommendations and Summary

• Keep prompts specific and explicit — avoid vague instructions that lead to misunderstandings.
• Leverage multi-instance parallelism for task decomposition and context isolation.
• Continuously maintain CLAUDE.md — codify experience and lessons learned as team assets.
• Build automated verification loops so Claude can self-check and self-correct, improving output quality.
• Share prototypes and experimental results freely to foster cross-team innovation and collaboration.
• Incorporate visual input — use screenshots and design drafts to improve interaction quality and accuracy.
• Understand the nature of each task — distinguish between asynchronous automatable tasks and core business logic requiring synchronous oversight. (Reference: How Anthropic teams use Claude Code)

Acknowledgments

This best practices summary is based on the extensive experience of Anthropic’s internal teams and community users. Special thanks to Boris Cherny, Daisy Hollman, Ashwin Bhat, and many other engineers for their contributions. We welcome all users to continue sharing their insights and collectively advance the Claude Code ecosystem.

Appendix

• Official documentation: claude.ai/code
• Just Talk To It - the no-bs Way of Agentic Engineering | Peter Steinberger
• How Anthropic teams use Claude Code | Claude
• 13 Pro Tips from the Claude Code Authors to Double Your Coding Efficiency
• Claude Code Best Practices \ Anthropic