AI.TDD Articles

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QualityAssurance

A collection of 70 issues

Kent Beck on AI.TDD: Evolution of Test-Driven Development

Introduction Kent Beck, the father of TDD, has always emphasized the importance of rapid feedback and incremental development. With AI, these principles become even more powerful. The Evolution of TDD From the original Red-Green-Refactor cycle to AI.TDD, the core philosophy remains: write tests first, get rapid feedback, and iterate

Problem Understanding: The Foundation of Product Success

Introduction to Problem Understanding Problem understanding is the critical first step in product development. Before building any solution, teams must deeply understand the problems they're trying to solve. This comprehensive guide covers techniques for identifying, analyzing, and validating user problems. What is Problem Understanding? Problem understanding is the

AI.TDD: The New Paradigm of Software Development

Introduction TDD taught us that the most important thing is not writing code, but writing the right code—the one that satisfies a desired behavior, fully validated by automated tests. This discipline forces us to understand the problem, think in terms of observable behavior, and maintain clean, decoupled code. Will

AI as Pilot vs. Copilot in TDD: Finding the Right Balance

Introduction Building on our discussion of AI.TDD as a new paradigm, let's explore the different roles AI can play in the TDD process. Sometimes AI should lead (pilot), and sometimes it should assist (copilot). AI as Pilot: Leading the Development // AI suggests the test structure describe('

Baby Steps in AI.TDD: Incremental Development with AI

Introduction Following our exploration of AI.TDD as a new paradigm, let's examine how the Baby Steps principle applies in the context of AI-assisted development. Baby Steps become even more crucial when working with AI, as they help maintain control and understanding of the development process. AI.TDD

AI.TDD and Pair Programming: The Future of Collaboration

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

TDD and Database Interactions: Testing Data Layer

Introduction Testing database interactions is a crucial part of Test-Driven Development. This article explores strategies for effectively testing database operations while maintaining test isolation and performance. Test Database Setup // database.test.js describe('Database Tests', () => { let db; beforeAll(async () => { db = await setupTestDatabase(); }); afterAll(async () => { await

Pair Programming in TDD: A Symphony of Collaboration

Introduction Pair Programming is a powerful practice that, when combined with Test-Driven Development, creates a highly effective development environment. This article explores how to maximize the benefits of pairing in a TDD context. The Roles in Pair Programming Driver and Navigator In TDD pair programming, the roles are particularly important:

TDD and Team Practices: Building Quality Together

Introduction Test-Driven Development is not just a technical practice but a team practice. This article explores how to effectively implement TDD in a team environment. Code Review Process // Example of a good code review comment /** * @review * - Tests cover all edge cases * - Code follows SOLID principles * - Performance considerations

TDD Best Practices: Writing Effective Tests

Introduction Writing effective tests is crucial for successful Test-Driven Development. This article explores best practices that will help you write better tests and improve your TDD workflow. Test Structure: The AAA Pattern The Arrange-Act-Assert (AAA) pattern is a fundamental structure for writing clear and maintainable tests: test('should calculate