Fragments: January 8

Anthropic report on how their AI is changing their own software development practice . Most usage is for debugging and helping understand existing code Notable increase in using it for implementing new features Developers using it for 59% of their work and getting 50% productivity increase 14% of developers are “power users” reporting much greater gains Claude helps developers to work outside their core area Concerns about changes to the profession, career evolution, and social dynamics ❄                ❄                ❄                ❄                ❄ Much of the discussion about using LLMs for software development lacks details on workflow. Rather than just hear people gush about how wonderful it is, I want to understand the gritty details. What kinds of interactions occur with the LLM? What decisions do the humans make? When reviewing LLM outputs, what kinds of things are the humans looking for, what corrections do they make? Obie Fernandez has written a post that goes into these