Claude Code
Best Practices
Reliable habits and patterns for safe, effective Claude Code development sessions.
Core practices
Plan Before Executing
Always ask Claude to create a plan before making changes to understand the full scope and catch issues early.
Single-Task Prompts
Keep each prompt focused on one clear objective rather than multiple unrelated tasks.
Review Before Committing
Always review diffs and changes before committing to catch errors and understand what changed.
Test-Driven Validation
Run tests after changes to verify functionality and catch regressions immediately.
Context management
Begin a new Claude Code session when starting unrelated work to avoid context pollution
Maintain a Claude.md file with project conventions, patterns, and constraints
Be explicit about which files and code sections you're referring to
Copy complete error messages including stack traces for accurate debugging
Prompting techniques
Be specific about constraints
Don't just say 'refactor this'. Say 'refactor using TypeScript generics, maintain existing API, add JSDoc comments'
Specify output format
Instead of 'analyze this code', say 'analyze and output a markdown table with issues, severity, and fixes'
Provide success criteria
After implementation, state 'this should pass all tests and maintain <100ms response time'
Use examples for clarity
Show an example of the desired output format rather than describing it
Anti-patterns to avoid
Fixing bugs without understanding root cause
Problem: Leads to bandaid fixes that break later or cause new issues
Instead: Ask Claude to analyze the root cause first, then propose a comprehensive fix
Accepting first solution without alternatives
Problem: May miss better approaches or important tradeoffs
Instead: Ask 'what are alternative approaches and their tradeoffs?' before choosing
Skipping documentation updates
Problem: Code and docs drift apart, confusing future developers
Instead: Update docs and comments in the same prompt as code changes
Ignoring security implications
Problem: Can introduce vulnerabilities like XSS, SQL injection, or data leaks
Instead: Explicitly ask about security implications of changes
Code quality guidelines
Naming Conventions
- Follow project naming standards
- Use descriptive names over abbreviations
- Maintain consistency with existing code
Error Handling
- Handle edge cases explicitly
- Provide meaningful error messages
- Fail fast for invalid inputs
Performance
- Avoid premature optimization
- Profile before optimizing
- Document performance requirements
Testing
- Test edge cases and failure modes
- Maintain test coverage
- Use meaningful test names
Collaboration practices
Team Projects
- Share your Claude.md file with the team
- Document Claude-generated code in PRs
- Review AI-generated code like human code
- Establish team standards for AI usage
Open Source
- Verify license compatibility
- Ensure generated code is original
- Add clear attribution if using templates
- Test thoroughly before contributing
Debugging best practices
Security practices
Input Validation
Always validate and sanitize user inputs, even in Claude-generated code
Secrets Management
Never commit API keys or credentials. Use environment variables
Dependencies
Review and vet dependencies before adding them
Code Review
Treat AI-generated code with same security scrutiny as human code
Efficiency tips
Use hooks for automated checks
Set up pre-commit hooks to run linters and tests automatically
Create reusable prompts
Save common workflows as templates or slash commands
Leverage MCP for data access
Connect relevant tools to avoid manual copy-paste
Batch similar tasks
Group related changes in one session to maintain context