Human Centric Software Development Augmented by AI - Song Tao and Terry Yin скачать в хорошем качестве

Human Centric Software Development Augmented by AI - Song Tao and Terry Yin

How do you use AI to accelerate software development—without losing human understanding, learning, and responsibility? In this experience report, Song Tao and Terry Yin share hands-on lessons from a real AI adoption journey inside a 20-year-old legacy system with heavy cross-team dependencies. Rather than treating AI as a replacement for thinking, they explore a human-centric, AI-augmented approach—where people stay accountable for intent, learning, and design, and AI is used deliberately where it adds leverage. Key ideas from this talk: Why requirements, domain understanding, and design must remain human-led The hidden risk of AI: cognitive debt (code works, but no one truly understands it) Human-AI partnership instead of “vibe coding” A continuous loop: Context → Generate → Automated Test → Learn Using autonomation (Jidoka) instead of blind automation Why end-to-end tests provide better AI feedback than unit tests in legacy systems Treating automated tests as both safety nets and living documentation Why AI does not create a competitive moat—and what actually does Shifting focus from “making progress” to seeking high-quality feedback This talk challenges the idea that faster code is always better—and argues that shared understanding, feedback loops, and human learning are the real constraints in AI-augmented development. 📍 Recorded at LeSS Conference 2026 Amsterdam 🎤 Speakers: Song Tao & Terry Yin Download the presentation here: https://less.works/conferenza/session... Checkout https://less.works for more information how to improve your Product development and structure your organization. #lessworks