From AI Theater to Unreasonable Agility
AI coding made engineering much faster, so the bottleneck moved. Why AI theater, token-usage metrics, and defensive R&D block real agility.
AI coding made engineering much faster, so the bottleneck moved. Why AI theater, token-usage metrics, and defensive R&D block real agility.
AI work pays off when it starts from a real business constraint, not a tool wishlist. Run a small test and check the problem is worth solving.
Most AI efforts start with tools and demos. Better to use product discovery to aim AI at a real business constraint and test the riskiest assumption first.
AI speeds up delivery and thins out team-level dependencies. Scaling framework mechanics become optional; flow and WIP first principles matter more.
Most AI efforts are still stuck in personal productivity. Zoetis CTO Kumar Venugopal on what it takes for AI to change the process itself.
A conversation with Dave West at Scrum.org about the 95% AI failure rate and why organizations need a different management operating system for AI work.