AI Coding Agents Burn Tokens Fixing Architecture Mistakes Upfront Design Would Prevent
Developers using AI coding agents find that the agents repeatedly make preventable architectural mistakes, and fixing those mistakes after the fact consumes significant token budget and iteration time. The underlying problem is a lack of upfront, agent-readable architectural constraints that could stop these errors before code is generated.
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