Capability Architecture for AINative Engineering
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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