4 articles filed under this tag.
In July, Robert C. Martin — the man who taught a generation to write readable code — said he no longer reads what his agents write. He replaced reading with a gauntlet of tests and metrics. Grady Booch had already objected that metrics confirm function, not safety. Z.ai, reporting on its own model, then found flaws averaging 26.6 years old, the oldest from 1981. Readable code was never the product. Confidence was — and you now buy exactly as much as your gauntlet can measure.
Since 2 August, EU law requires AI-generated text to be machine-readable as such, and Anthropic complied worldwide rather than only in Europe. The mark Anthropic ships does not say a machine wrote the text. It says a machine touched it — proofreading and translation trigger it too, and a detection is by Anthropic's own account not fully conclusive. Procurement is already writing AI-disclosure clauses. Decide now what your business lets a model touch.
AI tools change every few months; the operator's habits don't. The two that decide whether a session was worth your time are getting the right context in and verifying what comes out. Both are skills the model can't do for you.
Vite+ rolls runtime, package manager, dev server, build, test, lint, format, and monorepo orchestration into a single binary. The interesting question is not whether the consolidation works — it's what you give up by taking the bet.