A developer highlights the use of 'Skills' as a solution to repetitive prompting in AI coding agents, describing a folder-based standard that works across tools like Claude Code, Cursor, and Copilot. …
Nolan Lawson, a software engineer, argues that AI coding tools now let developers essentially choose how many bugs their software has, since finding bugs has become nearly free while fixing them still…
Geoffrey Litt's talk 'Understanding Is the New Bottleneck' argues that AI makes writing code cheap but understanding it remains costly, a problem amplified in agent-assisted development where code rev…
Geoffrey Litt argued at the AI Engineer conference in July 2026 that understanding code written by AI agents remains crucial for effective collaboration, proposing techniques like code explainer docs,…
Cognitive debt, the inability to keep up with code generated by AI agents, is reframed as leverage that can accelerate development but risks creating systems no human understands. Drawing on Peter Nau…
Geoffrey Litt spoke at AIE about the need for developers to understand code changes made by AI agents to avoid cognitive debt and remain active participants in the creative process. His talk, part of …
AI-assisted coding is compared to a surgeon's assistant, but the author argues that current LLMs like Claude lack the reliability and learning processes of human assistants, producing a stream of 'int…