Advanced Best Practices - Cheatsheet

This cheatsheet gathers professional patterns, debugging techniques, and advanced team workflows for Claude Code. Keep this practical reference sheet as a quick reference to apply the best practices daily on your existing and legacy projects.

Advanced best practices for Claude Code constitute a set of patterns, commands, and workflows that allow developers to fully leverage Anthropic's coding agent. Claude Code (version 1.0.x) has established itself as the reference tool for AI-assisted development in the terminal. more than 500,000 developers use Claude Code daily in their professional workflows.

What are the most used advanced commands on a daily basis?

Before diving into specialized patterns, here are the commands you will use most often. Each entry works autonomously in your terminal. For a complete overview of basic commands, check the essential slash commands cheatsheet.

In practice, 80% of advanced interactions rely on these 8 commands combined with specific flags.

Key takeaway: Master these 8 commands before exploring advanced patterns - they cover the majority of professional use cases.

How to structure a professional workflow with Claude Code?

A professional workflow relies on three pillars: context preparation, iterative execution, and validation. Configure your CLAUDE.md file at the project root to anchor team conventions. Check the advanced best practices tutorial for concrete configuration examples.

The "Plan -> Execute -> Validate" pattern

# Step 1: Ask for a plan
claude "Plan the refactoring of the auth module without modifying the public API"

# Step 2: Execute with constraints
claude "Implement the plan. Only modify src/auth/"

# Step 3: Validate
claude "Run the tests and verify nothing has regressed"

The "Context Loading" pattern

Load the relevant context before each complex task. Concretely, a well-prepared context reduces the number of necessary iterations by 40%.

To optimize your context window management, refer to the context management cheatsheet which details compression strategies.

Key takeaway: Systematically apply the Plan -> Execute -> Validate pattern to avoid regressions and keep control over modifications.

How to debug effectively with Claude Code?

Debugging with Claude Code relies on a methodical approach: isolate, reproduce, fix, verify. Claude Code resolves 72% of common bugs on the first iteration when sufficient context is provided.

Essential debugging commands

The augmented "Rubber Duck" pattern

Describe the expected vs. observed behavior in your prompt. This technique reduces resolution time by 60% on average.

claude "The /api/users endpoint returns 500.
Expected behavior: list of users in JSON.
Observed behavior: TypeError: Cannot read property 'map' of undefined.
The file is src/routes/users.ts"

Always verify proposed fixes by running tests. If Claude Code loops on an error, use /compact to reset the context, then rephrase your request with more details. To avoid classic debugging pitfalls, the common mistakes article lists the anti-patterns to know.

Keyboard shortcuts for debugging

Key takeaway: Always provide both the expected AND observed behavior in your debug prompts - this is the factor that most improves the resolution rate.

How to work on existing projects and legacy code?

Integrating Claude Code on an existing project requires a progressive approach. Start with an exploration phase before any modification. In practice, 15 minutes of context preparation prevent hours of corrections.

Phase 1: Exploration and understanding

# Understand the architecture
claude "Analyze the structure of this project and identify the patterns used"

# Map the dependencies
claude "List the main dependencies and their versions"

# Identify technical debt
claude "Which files have the highest cyclomatic complexity?"

Phase 2: CLAUDE.md configuration

Create a CLAUDE.md file adapted to the legacy project. This file guides Claude Code in respecting existing conventions.

# CLAUDE.md - Legacy Project
## Conventions
- Style: camelCase for variables, PascalCase for classes
- Tests: Jest, minimum coverage 80%
- Do NOT modify files in /vendor and /legacy-core

## Architecture
- Express.js monolith with progressive migration to NestJS
- PostgreSQL 15 database, Sequelize ORM

For projects using Git, the Git integration cheatsheet shows you how to combine Claude Code with your branching and code review workflows.

Phase 3: Safe modifications

68% of developers consider legacy code refactoring as their most time-consuming task. Claude Code reduces this time by 45% on average on codebases of more than 100,000 lines.

Key takeaway: Never launch Claude Code on a legacy project without CLAUDE.md - this file is your safety net against unwanted modifications.

How to work as a team with Claude Code?

Teamwork with Claude Code requires shared conventions and rigorous permission management. Establish a versioned CLAUDE.md file in Git so each team member benefits from the same context. For fine-grained permission management in shared environments, check the permissions and security cheatsheet.

Team configuration

// .claude/settings.json (versioned in Git)
{
  "permissions": {
    "allow": ["Read", "Glob", "Grep"],
    "deny": ["Bash(rm *)", "Bash(git push --force)"]
  },
  "model": "claude-sonnet-4-6"
}

Collaboration patterns

Conflict and branch management

Run Claude Code on isolated feature branches to avoid conflicts. Concretely, a team of 5 developers using Claude Code on separate branches reduces merge conflicts by 35%.

# Recommended team workflow
git checkout -b feature/refactor-auth
claude "Refactor the authentication module according to the JIRA-1234 ticket specs"
git add -p  # Selective review of changes
git commit -m "refactor(auth): simplify token validation"

To master the basics before collaborating, the first conversations cheatsheet covers the fundamentals of interacting with Claude Code.

Key takeaway: Always version the CLAUDE.md and settings.json in Git - this is the key to homogeneous Claude Code usage across the team.

What are the advanced shortcuts and flags to know?

Beyond basic commands, Claude Code offers flags and options that accelerate professional workflows. The installation and first launch cheatsheet covers the initial setup of these options.

Advanced CLI flags

In-session slash commands

In practice, using the --max-turns flag with a value between 3 and 10 lets you control costs while giving Claude Code enough autonomy to solve complex problems. The average cost of a 10-turn session is around $0.15 with the Sonnet model.

Key takeaway: Combine CLI flags (--max-turns, --allowedTools) to maintain full control over Claude Code's behavior in production.

How to evaluate and improve your practices with Claude Code?

Evaluating your practices involves concrete metrics and continuous improvement. The complete advanced best practices guide deepens each pattern presented in this cheatsheet.

Track A self-assessment grid

Progression checklist

1. Verify that your CLAUDE.md contains at least code conventions, architecture, and protected files
2. Use the Plan -> Execute -> Validate pattern on every task over 30 minutes
3. Measure your first-prompt resolution rate (target: >60%)
4. Apply tool restrictions (--allowedTools) on sensitive projects
5. Practice structured debugging with the expected/observed format
6. Share your CLAUDE.md and settings.json via Git
7. Monitor your costs with /cost after each session

developers who follow structured training achieve a productivity rate 2.3 times higher than those who learn on their own. The advanced best practices FAQ answers the most common questions about optimizing these workflows.

Key takeaway: Regularly evaluate your practices with this grid - the goal is to reach the advanced level on all 5 skills in less than 4 weeks.

How to go further with structured training?

To transform this knowledge into lasting skills, SFEIR Institute offers training programs dedicated to AI-assisted development. These programs combine theory and practice on real projects.

The Claude Code one-day training lets you master all the patterns presented in this cheatsheet, with hands-on labs on concrete debugging and refactoring cases. If you want to go further, the AI-Augmented Developer 2-day training covers the complete integration of AI tools into your daily workflow, including Claude Code, Copilot, and advanced prompt engineering techniques.

For developers already comfortable with the basics, the AI-Augmented Developer - Advanced one-day training deepens CI/CD automation patterns, large-scale legacy code work, and team strategies with AI tools.

Key takeaway: Invest in structured training to accelerate your skill development - SFEIR Institute hands-on labs cover the real-world cases you will encounter in production.

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