Episode 18: Coding Agents - What Works and What Does Not

Coding agents are already highly effective in the environment they were designed around: local context, local memory, local files, immediate feedback, and bounded technical surfaces. The tools are not a disappointment. They are a genuine shift in how contained technical work gets done.

The gap between that and enterprise-scale production delivery is real and will not be closed by better model output alone. It requires better decomposition practices, stronger context engineering, explicit acceptance criteria, hybrid review models, clearer boundary definitions for business users, and enterprise harnesses built for governed participation rather than local convenience. Organizations that do that work will get compounding value. Organizations that skip it will get excellent demos, uneven systems, and hard lessons at the production boundary.

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