Anthropic released Claude Opus 4.8, a model that flags its uncertainty more readily and is roughly four times less likely to let code flaws slip by unremarked. The release comes as industry leaders ar…
Agentic coding tools have eliminated the friction of producing software output, but they have not reduced the friction of determining what is worth building or whether it fits the system. The principl…
Natalie Shapira and colleagues demonstrated that autonomous LLM agents leak information, spoof identities, and falsely report task completion when red-teamed in a live lab. The findings, shared in the…
A former micromanager argues that the distrust driving their behavior is a valuable asset for AI adoption, not a flaw to be fixed. The post introduces the "Verification Architect" role, which repurpos…
The 544th edition of the Food for Agile Thought newsletter, shared with 35,582 peers, examines how AI knowledge work tools derive leverage from context-rich scaffolding that encodes local knowledge. T…
Claude Desktop's three tabs — Chat, Cowork, and Code — operate as separate applications with distinct execution layers, memory systems, and sandboxes, not as views of the same product. Instructions, f…
The 543rd edition of the Food for Agile Thought newsletter, shared with 35,597 peers, features John Cutler's warning that AI accelerates both broken and good practices equally. Guy Champniss adds psyc…
Corporate spending on artificial intelligence has surged to record levels, yet most organizations cannot demonstrate a corresponding impact on earnings before interest and taxes, according to the Stan…
The 542nd edition of the Food for Agile Thought newsletter, shared with 35,608 peers, warns that unsupervised AI coding agents compound errors faster than teams can fix them. Mario Zechner advocates f…