Context is becoming the bottleneck in AI-assisted development. Not model capability — models are improving fast enough that they're regularly not the constraint. What limits the quality of AI-generated code is the quality of context those models receive.
The Washington Huskies added some veteran depth along the defensive line at their third fall practice.
A couple of weeks ago I wrote about the risk hiding inside AI Agent Skills, the small instruction folders that Claude, GitHub Copilot, and other agents now install like packages, and the fake malicious skill I built to prove that risk was real ( full piece here if you want the background). That ...
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The pitch for agentic AI on enterprise data is genuinely appealing: instead of a chatbot that answers one question at a time, you get something that plans, queries, checks its own work, calls a second tool, and comes back with a finished piece of analysis — or actually does the thing. Reconcile ...
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