Does GenAI Mean the Death of Test-Driven Development (TDD)
summary
Shows TDD staying useful while GenAI speeds the boring parts: uses Rider and AI Assistant plus the Juny agent to generate unit tests and minimal domain code for concrete rules (create matching shift, propagate volunteer count, prevent overassignment, require valid license, 12‑hour/month cap). Prompts and a markdown rules file steer generation; AI patches code, adds domain exception handling, and runs tests — all tests end green in the demo — though Juny ↔ AI Assistant integration is not yet fully unified.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 1:53Understanding test-driven development basics
- 7:48Medical volunteer case study
- 10:18First business rule with TDD
- 17:09AI-generated unit tests
- 23:14Volunteer assignment constraints
- 31:34License validity enforcement
- 35:31Preventing double assignments
- 41:24Monthly hour limits
- 46:11TDD future with GenAI
- 49:26Q&A
related talks
46mTDD & generative AI - a perfect pairing?
45mTDD with AI?
41mAI-Augmented Testing: How Generative AI, Prompt Eng Turn Testers Into Superheroes
47mTDD & Generative AI: A Perfect Pairing
16mCan Test Driven Development be speeded up with Generative AI?
32mQuality engineering in the AI age: From testing AI to leveraging GenAI
46mGenerative AI: Say Goodbye to Deterministic Testing?
45mTDD & generative AI - a perfect pairing?
