Signals

How to build reliable AI systems while navigating the rapid pace of LLM evolution and the tension between domain knowledge and scalable methods.

A systematic approach to collaborating with AI systems on software projects, addressing code bloat, architectural drift, and context dilution through structured constraints and validation checkpoints.

Kent Beck explores the distinction between 'vibe coding' and 'augmented coding' through building a production-ready B+ Tree library with AI assistance.

Discussion on how AI coding tools might revitalize XP practices, with insights from Kent Beck on test-driven development and feedback loops.

The future of AI-assisted programming depends less on replacing developers and more on effective human-AI collaboration and understanding when to trust these tools.

Senior developers share candid experiences with AI coding assistants, revealing both productivity gains and significant limitations.

Survey reveals senior developers are twice as likely to use AI for coding, but many report significant time spent editing AI output.