Ctrl + K

Best Practices

Follow these best practices to get the best results from Blurs AI and integrate it effectively into your workflow.

Writing Effective Prompts

Be Specific

"Create a component" "Create a React TypeScript component for a user profile card with name, email, avatar, and edit button"

Provide Context

Include relevant information:

  • Framework and version
  • Existing code patterns
  • Specific requirements
  • Edge cases to handle

Use Iterative Refinement

Start broad, then refine:

  1. Start with basic request
  2. Review the result
  3. Add details based on what you got
  4. Iterate until perfect

Code Generation

Review All Generated Code

Always:

  • Read through generated code
  • Understand what it does
  • Test functionality
  • Check for security issues
  • Verify it follows your patterns

Customize for Your Needs

Generated code is a starting point:

  • Add your business logic
  • Match your coding style
  • Integrate with existing code
  • Add proper error handling
  • Include your tests

Use for Boilerplate

Best suited for:

  • Repetitive patterns
  • Standard components
  • Common utilities
  • Configuration files
  • Test templates

Debugging

Provide Complete Information

Include:

  • Full error messages
  • Stack traces
  • Relevant code sections
  • Steps to reproduce
  • Expected vs actual behavior

Test Fixes Thoroughly

When applying fixes:

  • Test the specific issue
  • Verify nothing else broke
  • Check edge cases
  • Run full test suite
  • Test in different environments

Optimization

Measure Before Optimizing

  1. Profile your application
  2. Identify actual bottlenecks
  3. Set baseline metrics
  4. Optimize specific areas
  5. Measure improvements

Don't Prematurely Optimize

  • Only optimize where needed
  • Maintain code readability
  • Balance performance and maintainability

Security Considerations

Review Generated Code for Security

Generated code may not consider:

  • Authentication requirements
  • Authorization checks
  • Input validation
  • SQL injection prevention
  • XSS protection
  • CSRF tokens

Always add security checks as needed.

Don't Commit API Keys

Never include API keys in:

  • Generated code examples
  • Commit messages
  • Public repositories
  • Client-side code

Integration Tips

Use for Speed, Not Replacement

Blurs AI accelerates development but:

  • You still need to understand the code
  • Review everything before using
  • Customize for your needs
  • Don't blindly copy code

Build on Generated Code

Treat generated code as:

  • A starting point
  • A reference implementation
  • A learning tool
  • A time saver

Workflow Integration

For New Features

  1. Generate initial implementation
  2. Review and understand
  3. Customize for your needs
  4. Test thoroughly
  5. Refine as needed

For Debugging

  1. Describe the problem clearly
  2. Get AI analysis
  3. Try suggested fixes
  4. Verify the solution
  5. Learn from the fix

For Optimization

  1. Profile and identify issues
  2. Get optimization suggestions
  3. Implement changes incrementally
  4. Measure improvements
  5. Verify functionality

Common Mistakes to Avoid

Over-relying on AI

Don't:

  • Use AI for everything
  • Skip code reviews
  • Ignore understanding code
  • Blindly trust suggestions

Under-specifying Requirements

Don't:

  • Use vague descriptions
  • Skip important details
  • Assume context is clear
  • Forget to specify edge cases

Not Testing Generated Code

Always:

  • Test functionality
  • Check edge cases
  • Verify integration
  • Run tests
  • Review security

Learning from AI

Understand the Patterns

When AI generates code:

  • Learn the patterns used
  • Understand the reasoning
  • Apply learnings elsewhere
  • Improve your skills

Ask Questions

Use AI to learn:

  • "Why did you use this pattern?"
  • "What are the alternatives?"
  • "What are the trade-offs?"
  • "How can I improve this?"

Team Practices

Establish Guidelines

Set team standards:

  • When to use AI
  • Review requirements
  • Testing requirements
  • Integration patterns

Share Learnings

  • Document useful prompts
  • Share successful patterns
  • Learn from each other
  • Build a knowledge base

Continuous Improvement

Refine Your Prompts

Track what works:

  • Save effective prompts
  • Refine based on results
  • Build prompt templates
  • Share with team

Stay Updated

  • Follow AI improvements
  • Try new features
  • Learn new techniques
  • Adapt workflows

Next Steps

On this page

Best Practices
Writing Effective Prompts
Be Specific
Provide Context
Use Iterative Refinement
Code Generation
Review All Generated Code
Customize for Your Needs
Use for Boilerplate
Debugging
Provide Complete Information
Test Fixes Thoroughly
Optimization
Measure Before Optimizing
Don't Prematurely Optimize
Security Considerations
Review Generated Code for Security
Don't Commit API Keys
Integration Tips
Use for Speed, Not Replacement
Build on Generated Code
Workflow Integration
For New Features
For Debugging
For Optimization
Common Mistakes to Avoid
Over-relying on AI
Under-specifying Requirements
Not Testing Generated Code
Learning from AI
Understand the Patterns
Ask Questions
Team Practices
Establish Guidelines
Share Learnings
Continuous Improvement
Refine Your Prompts
Stay Updated
Next Steps