What I'm Finding About LLM Code Style and Token Costs
Why CEREBRO kept it
Token cost optimization via code style is core LLM mechanic
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What I’m Finding About LLM Code Style and Token Costs Spending output tokens to share it. Before the price spikes. Where This Started I’ve been working through creating and reviewing features with Claude the past year. It’s been remarkable seeing the tension in token consumption and legacy patterns. Right when I think something is complete, a problem surfaces—regression, edge case, whatever. All the while watching the slow, steady and natural march toward eventual full-price rates. Alongside this phenomenon, my accumulated push to stay at the pragmatic edge of modern Web work. The sweet spot w
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Structured JSON responses with schema constraints cut token output ~40% because the model stops over-explaining and just returns the answer.
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