Best Practices
Industry-proven patterns and practices for maximizing your success with AI-powered development.
Security & Safety
Set up safety boundaries before scaling AI agent usage to prevent runaway processes and unexpected costs.
Do's
- ✓Define clear resource limits
- ✓Set up monitoring alerts
- ✓Test safety rules in staging
Don'ts
- ✗Skip safety configuration
- ✗Ignore warning signs
- ✗Deploy without limits
Code Quality
Use Planwright's debt scoring to maintain code health and prevent accumulation of technical debt.
Do's
- ✓Review debt scores weekly
- ✓Prioritize high-debt areas
- ✓Automate debt prevention
Don'ts
- ✗Ignore debt warnings
- ✗Postpone refactoring
- ✗Accept declining scores
Performance
Maximize throughput by running independent tasks with multiple AI agents simultaneously.
Do's
- ✓Identify parallel tasks
- ✓Use proper task queuing
- ✓Monitor agent performance
Don'ts
- ✗Create dependencies unnecessarily
- ✗Overload single agents
- ✗Skip performance testing
Team Productivity
Start with simple automations and gradually increase AI involvement as team comfort grows.
Do's
- ✓Start with code reviews
- ✓Measure improvement metrics
- ✓Gather team feedback
Don'ts
- ✗Automate everything at once
- ✗Skip training sessions
- ✗Ignore team concerns
Industry Standards
All code should be reviewed by AI before human review
Maintain debt score below 20 for healthy codebases
AI agents should complete tasks successfully 80%+ of the time
Features should go from concept to production in under a week
Get Personalized Recommendations
Our experts can analyze your workflow and provide custom best practices for your team.