Introduction

Building on our previous discussion about AI.TDD as a new paradigm, let's explore how AI transforms the traditional pair programming practice. In AI.TDD, we're not just pairing with another human developer—we're creating a triad of collaboration between two humans and an AI.

The AI.TDD Pair Programming Triad

  • Human Driver: Focuses on writing tests and defining behavior
  • Human Navigator: Provides strategic direction and reviews AI's work
  • AI Copilot: Implements code and suggests improvements

Example: Building a User Authentication System


// Driver writes the test
describe('UserAuthentication', () => {
  test('should validate user credentials', async () => {
    const auth = new UserAuthentication();
    const result = await auth.validate('user@example.com', 'password123');
    expect(result.isValid).toBe(true);
  });
});

// AI generates the implementation
class UserAuthentication {
  async validate(email, password) {
    // AI implements the validation logic
    const user = await this.findUser(email);
    if (!user) return { isValid: false };
    return { isValid: await this.verifyPassword(password, user.password) };
  }
}

// Navigator reviews and suggests improvements
// "Consider adding rate limiting and logging"

Best Practices for AI.TDD Pair Programming

  • Rotate roles frequently
  • Use AI as a learning tool
  • Maintain clear communication
  • Review AI's suggestions critically

Conclusion

AI.TDD pair programming enhances our development process by combining human creativity with AI's capabilities. It's not about replacing human interaction—it's about augmenting it.