Signals

Exploring the concept of 'good taste' in software engineering through Hacker News discussions, focusing on flexibility, learning from diverse codebases, and effective mentoring techniques for juniors.

A Columbia CS student built an AI tool that helps candidates cheat in coding interviews, sparking debate about fairness and the future of technical hiring.

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.