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Most teams obsessing over token costs are measuring the wrong thing. The real savings from AI aren't in lines of code written faster. They're in the coordination overhead that disappears when fewer humans need to align before anything gets built.
Chris Kelly, Head of Product at Augment Code, joins Rob to cover why prototypes have replaced specs, how agents enable dynamic team capacity the way cloud replaced over-provisioned servers, and what "good code" even means when your primary reader is an LLM.
In this episode:
- Why coordination costs are the hidden savings of AI-assisted development
- How agents make dynamic team capacity finally achievable
- What junior engineers actually need to know as abstraction layers keep rising
- How self-improving agents could change incident response and code quality
Have someone you’d like to hear on the show? Reach out to us on X at @CircleCI!
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면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 CircleCI에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
