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24 pieces tagged AI, newest first.
No, and yes. AI will not replace the programmer; it is replacing most of what programmers spent their day typing. I have watched this happen twice before, at IBM and in the cloud years. Here is what changed each time, and what to do now.
An AI agent is software that pursues a goal by deciding, acting through tools and checking the result, in a loop. Most of what is sold as agentic AI is not that. Here is the test, and what makes agents work in production.
Twelve books, eleven from Wired’s seasonal thirty plus one of my own, on how compute, data and the state became one conversation.
Everyone upgrades models. Almost no one engineers what agents remember, forget and may know. That gap is where agentic AI fails in production.
Five questions to test any system that decides about you: understand it, contest it, leave it, be forgotten, and still surprise it.
From the imitation game to Article 50 of the AI Act: we went from rewarding machines that fool us to forcing them to unmask themselves.
AI is not simply accelerating work. It is reshaping how organizations are structured, how decisions flow and how coordination happens.
Forget the double migration. Semantic analysis lets COBOL systems move straight from the mainframe to a document model.
AI now reads and writes legacy COBOL. The impact is economic and architectural, not code replacement. Where it helps and where risk lives.
When AI writes the code, the real job moves somewhere else. Something quiet but structural is happening to software engineering.
No, and yes. AI will not replace the programmer; it is replacing most of what programmers spent their day typing. I have watched this happen twice before, at IBM and in the cloud years. Here is what changed each time, and what to do now.
An AI agent is software that pursues a goal by deciding, acting through tools and checking the result, in a loop. Most of what is sold as agentic AI is not that. Here is the test, and what makes agents work in production.
Twelve books, eleven from Wired’s seasonal thirty plus one of my own, on how compute, data and the state became one conversation.
Everyone upgrades models. Almost no one engineers what agents remember, forget and may know. That gap is where agentic AI fails in production.
Five questions to test any system that decides about you: understand it, contest it, leave it, be forgotten, and still surprise it.
From the imitation game to Article 50 of the AI Act: we went from rewarding machines that fool us to forcing them to unmask themselves.
AI is not simply accelerating work. It is reshaping how organizations are structured, how decisions flow and how coordination happens.
Forget the double migration. Semantic analysis lets COBOL systems move straight from the mainframe to a document model.
AI now reads and writes legacy COBOL. The impact is economic and architectural, not code replacement. Where it helps and where risk lives.
When AI writes the code, the real job moves somewhere else. Something quiet but structural is happening to software engineering.
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