Audit with Strong Models Before Dispatching Tasks
shadcn · x · 2026-07-11
The post outlines a workflow for coding agents: first use the most powerful model to execute `/improve`, letting it audit the codebase for bugs, performance issues, tech debt, missing tests, and pending features. It then generates a plan that can be handed off to cheaper models for execution. The author adds that this workflow runs exceptionally well on GPT 5.6 Sol (High).
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