Simon Willison's account highlights a subtle but significant evolution in the AI-assisted development workflow. The value proposition is shifting from code generation to code auditing, a task that demands a different kind of model capability—deep comprehension of existing logic and the ability to simulate edge-case behavior. In our view, this suggests a maturation path for coding agents, where their most critical function may become preventing human error rather than accelerating initial output.
However, it also raises questions about the transfer of responsibility; when a bug slips through both human and AI review, who bears the accountability? The process described, where the developer remained engaged but intermittently, points toward a hybrid future of oversight, not full automation.