TL;DR
- Install via
pip install claude-codeor IDE plugins (VS Code, JetBrains).- Core commands:
claude explain,claude generate --type=test,claude review --pr.- Enterprise note: Free tier includes 1MB context window (Anthropic Console).
1. Installation and Authentication
Install the CLI
Option A: pip (Recommended)
pip install claude-code
Verify installation:
claude-code --version
# Expected output matches latest in [Anthropic Changelog](https://docs.anthropic.com/en/docs/claude-code/changelog)
Option B: IDE Plugins
- VS Code: Official Extension
- JetBrains: Available via JetBrains Blog
Authenticate
- Generate an API key in the Anthropic Console.
- Run:
claude-code auth login - Verify:
claude-code auth status # Expected: "Authenticated as <your-email> (Plan: Free/Pro)"
2. Configuration for Teams
Global Settings (~/.claude/config.toml)
[default]
model = "claude-3-sonnet" # Default per [Anthropic Blog](https://www.anthropic.com/blog/claude-code-aster)
temperature = 0.3
max_tokens = 4096 # Free tier limit
[editor]
line_length = 88
tab_size = 4
Project-Specific Setup
Initialize a repository:
cd your-repo
claude-code init
Creates:
.claude/
├── ignore # Pattern-matching (e.g., `**/secrets/`)
├── prompts/ # Custom templates
└── rules.toml # Project rules
Coding Standards (CLAUDE.md)
Example for a Python/Django project:
# Project: Enterprise Inventory System
- **Stack**: Django 4.2, PostgreSQL 15
- **Requirements**:
- All models must include `created_at`/`updated_at`
- Use `django-environ` for config
- **Test Coverage**: Minimum 85%
3. Core Workflows for Development Teams
Code Generation
| Use Case | Command |
|---|---|
| New function | claude-code generate --file=src/utils.py --type=function --name=validate_input |
| Test suite | claude-code test --file=src/models.py --framework=pytest |
| GDPR-compliant class | claude-code generate --type=class --name=UserDataProcessor --requirements="GDPR compliance, encryption" |
Code Review Automation
# For pull requests
claude-code review --pr=https://github.com/yourorg/repo/pull/42
# For local changes
claude-code review --diff="git diff main..feature-branch"
Sample output (Anthropic Blog):
🔍 Analyzed 3 files (420 lines)
✅ src/auth.py: No critical issues
⚠️ src/utils.py:
- [Medium] Timing attack in `compare_secrets()` (line 88)
📝 Suggested fixes: [unified diff]
Architecture Diagrams
claude-code explain --file=src/system.py --output=diagram --format=mermaid
Generates:
- Class relationships
- Data flow
- External dependencies
4. CI/CD Integration
GitHub Actions Example
name: Claude Code Review
on: [pull_request]
jobs:
review:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- run: pip install claude-code
- run: claude-code review --pr=${{ github.event.pull_request.html_url }}
env:
CLAUDE_API_KEY: ${{ secrets.CLAUDE_API_KEY }}
Local Pre-Commit Hook
#!/bin/sh
exec claude-code review --staged --fail-on=high
5. Enterprise Considerations
Security Controls
- API Key Restrictions:
claude-code auth configure --restrict-to=repo:yourorg/*,pr:read-only - Sensitive Code Exclusion (
.claude/ignore):**/secrets/ **/config/prod/
Cost Optimization
| Strategy | Implementation |
|---|---|
| Model selection | model = "claude-3-sonnet" in config |
| Context limiting | claude-code explain --lines=1-100 |
Monitor usage:
claude-code usage --format=json > usage-report.json
Next Steps for Your Team
- Pilot setup:
claude-code init --sample-config > ~/.claude/config.toml - Integrate with one workflow:
claude-code test --framework=pytest >> test-report.md
For enterprise deployment—including on-premises options and custom fine-tuning—our team at Hyperion helps European engineering leaders implement Claude Code at scale.
