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An essay published at mtlynch.io argues that coding agents can be a bottleneck rather than the promised force multiplier for software teams. It points to weak task management, limited model delegation and a lack of built-in filesystem sandboxing.
Why it mattersThe piece also says agents often fail to recognise their own features, and suggests that executives have favoured flashy demonstrations over practical workflow improvements. That last point is the author’s hypothesis, not an established explanation. It is a useful practitioner critique of a fast-moving AI category: impressive demos are one thing, dependable tools in a developer’s daily work quite another.
Discuss: Which should matter more when judging coding agents: what they can do in a demo, or how reliably they handle the unglamorous work?
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