token-cost

Coverage here focuses on where the money actually goes when you run LLMs at scale. Expect breakdowns of per-turn spend, the hidden overhead of tool schemas and system prompts, and how context management drives your bill. You will find concrete instrumentation, cost-per-turn analysis, and practical levers like lazy-loading, prompt trimming, and caching that measurably cut spend. The through-line is treating token cost as an engineering problem you can measure and optimize, not a fixed price yo...

Iceberg with tiny green tip above water and huge submerged mass, symbolizing hidden AI coder token overhead.

ai-coder, token-cost, llm-cost-optimization, ai-coding-tools, developer-tools

Do You Know What You're Paying For When You Use an AI Coder?

Most of what you pay an AI coder per turn goes to overhead, not actual work. Real instrumentation shows tool schemas alone consume 68% of per-turn costs, and straightforward fixes like lazy-loading cut total session spend by 47%.