Your AI Coding Bill Is Not a Model Problem. It’s an Orchestration Problem
AI coding costs are driven more by inefficient orchestration—bloated prompts, repeated context, and unnecessary agent loops—than by model choice. Techniques like prompt caching, model routing, and context compression can reduce expenses without sacrificing code quality.