3 articles
Coding agents are increasing the volume of plausible software faster than organizations can safely absorb it. Engineering advantage will belong to teams that redesign specifications, tests, and review around machine-scale output.
Coding agents can produce changes faster than teams can responsibly absorb them. The scarce skill is shifting from writing implementations to creating evidence that a change belongs in the system.
AI-generated code is not the hardest governance problem. The harder problem is reconstructing why a change was made, what evidence supported it, and which assumptions survived review.