6 articles
Stanford tracks the payroll of five million Americans a month. Employment for 22-to-25-year-olds in AI-exposed jobs sits nineteen percent below where it should be. Nobody is being laid off — they are simply not being hired. Those are entirely different problems.
A 27-year-old pretraining researcher quit Anthropic this week, saying the industry is 'gambling with our lives.' He is the second senior departure this year. What the pattern actually tells us — and what it doesn't.
Prompt engineering was about wording. Context engineering is about deciding which tokens deserve a place in a limited window — and it is now the skill that separates agents that work from agents that almost work.
Strip away the marketing and an agent is a loop with three parts. Understanding those parts tells you exactly why agents fail in production — and which of the failures are worth fixing.
When a RAG system answers wrong, the model is usually not the culprit — the right chunk never made it into the context. Here is how to prove that, and what to fix once you have.
Generating code got cheap. Understanding it did not. Review is now the bottleneck skill, and reviewing generated code is harder than reviewing a colleague's.
