Welcome to Module 04! This module transforms how you approach software quality by leveraging GitHub Copilot for test generation, bug detection, and Test-Driven Development (TDD). You'll learn to write comprehensive test suites, identify edge cases, and debug complex issues with AI assistance, fundamentally changing your development workflow.
- Total Time: 3 hours
- Lecture/Demo: 30 minutes
- Hands-on Exercises: 2 hours 30 minutes
- 🟢 Fundamentals Track (Modules 1-5)
By the end of this module, you will be able to:
- Generate Comprehensive Tests - Create unit, integration, and edge case tests with Copilot
- Practice TDD with AI - Write tests first, then implementation with AI guidance
- Debug Efficiently - Use Copilot to identify and fix bugs quickly
- Optimize Test Coverage - Achieve high coverage with meaningful tests
- Implement Testing Patterns - Apply best practices for maintainable test suites
- ✅ Completed Modules 1-3
- ✅ Basic understanding of testing concepts
- ✅ Python 3.11+ installed
- ✅ pytest framework installed
- ✅ VS Code with GitHub Copilot enabled
See prerequisites.md for detailed setup instructions.
TDD follows the Red-Green-Refactor cycle:
- Red: Write a failing test
- Green: Write minimal code to pass
- Refactor: Improve code quality
With Copilot, this process becomes:
- Red: Describe test intent, let Copilot generate test
- Green: Use Copilot to implement solution
- Refactor: Ask Copilot for optimization suggestions
- Test individual functions/methods
- Mock external dependencies
- Focus on single responsibility
- Copilot excels at generating test cases
- Test component interactions
- Verify data flow
- Check API contracts
- AI helps identify integration points
- Boundary conditions
- Error scenarios
- Performance limits
- Copilot suggests overlooked cases
-
Error Analysis
- Paste error messages
- Get fix suggestions
- Understand root causes
-
Code Review
- Identify potential bugs
- Suggest improvements
- Find security issues
-
Performance Debugging
- Profile code
- Identify bottlenecks
- Optimize algorithms
- Generate unit tests for existing code
- Create parameterized tests
- Mock external dependencies
- Duration: 30-45 minutes
- Build a shopping cart using TDD
- Write tests before implementation
- Handle edge cases
- Duration: 45-60 minutes
- Debug a complex REST API
- Improve test coverage
- Performance optimization
- Duration: 60-90 minutes
- pytest - Main testing framework
- pytest-cov - Coverage reporting
- pytest-mock - Mocking support
- pytest-benchmark - Performance testing
- Python debugger (pdb)
- VS Code debugging
- Logging frameworks
- Profiling tools
graph LR
A[Basic Testing] --> B[TDD Practice]
B --> C[Advanced Patterns]
C --> D[Debug Mastery]
D --> E[Performance Testing]
style A fill:#e1f5fe
style B fill:#b3e5fc
style C fill:#81d4fa
style D fill:#4fc3f7
style E fill:#29b6f6
By module completion, you should:
- ✅ Generate 20+ test cases with Copilot
- ✅ Complete a full TDD cycle
- ✅ Debug 5+ different error types
- ✅ Achieve 90%+ test coverage
- ✅ Refactor code based on test insights
-
Clone the module:
cd modules/module-04-testing-debugging -
Install dependencies:
pip install -r requirements.txt
-
Run the setup validator:
python scripts/validate_setup.py
-
Start with Exercise 1:
cd exercises/exercise1-easy code .
Upon completion, you'll have:
- 🏆 Mastered AI-assisted test generation
- 🏆 Implemented TDD in real projects
- 🏆 Debugged complex applications
- 🏆 Built a comprehensive test suite
- 🏆 Optimized code performance
After completing this module:
- Review the best-practices.md
- Complete the independent project
- Share your experience in discussions
- Proceed to Module 05: Documentation and Code Quality
💡 Remember: Good tests are the foundation of maintainable software. With AI assistance, you can write better tests faster!