AI Writes Better Code With Test Driven Development
Zen van Riel
@zenvanrielAbout
I'm a Senior AI Engineer teaching you how to use AI to advance your career Views expressed are my own and do not reflect those of my employer.
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⚡ Master AI with me and become a high-paid AI Engineer: https://aiengineer.community/join FREE roadmap to build real AI systems: https://zenvanriel.nl/ai-roadmap 📦 Code repository: https://github.com/AI-Engineer-Skool/ai-coding-auction-demo What You'll Learn: - How to make AI agents write self-testing code using Test-Driven Development (TDD) - Why AI-generated code breaks in production and how to prevent it with proper testing - How to implement the same feature across multiple programming languages (Python & Java) simultaneously - Real-world demonstration of building a "Buy It Now" feature for an auction website - The importance of strict typing for AI code reliability and why Java outperforms Python in AI coding scenarios Timestamps: 0:00 Why AI Code Breaks in Production 0:38 New feature concept 2:16 Test-Driven Development Methodology 5:31 Writing Tests Before Implementation 9:52 Java vs Python: Strict Typing Advantages 13:13 Frontend Without TDD: Real Debugging Why did I create this video? Most developers fall into the trap of "vibe coding" with AI - generating code without proper testing frameworks. Here I demonstrate how Test-Driven Development ensures your AI-generated code is actually production-ready. By having AI write tests first, then implementation, you get self-validating code that works across multiple languages and frameworks. This is how senior engineers actually build reliable systems with AI assistance. Connect with me: https://www.linkedin.com/in/zen-van-riel https://www.skool.com/ai-engineer
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