Capability Architecture for AINative Engineering

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News Source : Oreilly.com

News Summary

  • A few years into the AI shift, the gap between engineers is not talent.
  • It's coordination: shared norms and a shared language for how AI fits into everyday engineering work.
  • What’s missing is a shared reference model.
  • Not another tool.
  • A map.
  • Which engineering activities can AI responsibly support?
  • What does quality mean for those outputs?
  • And what guardrails keep integration safe, observable, and accountable?
  • Without that map, it's easy to drown in novelty, and easy to confuse widespread experimentation with reliable integration.
A few years into the AI shift, the gap between engineers is not talent. Its coordination shared norms and a shared language for how AI fits into everyday engineering work. Some teams are already get [+8566 chars]

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