How to Cut Your LLM API Costs Without Hurting Quality
Nine practical, battle-tested ways to reduce LLM API spend — prompt caching, model routing, output discipline, batching and more — with the trade-offs spelled out.
Practical, hands-on guides to self-hosted and privacy-first AI coding tools and LLM cost engineering.
Nine practical, battle-tested ways to reduce LLM API spend — prompt caching, model routing, output discipline, batching and more — with the trade-offs spelled out.
A worked example comparing self-hosted open-weight inference against managed LLM APIs, including hardware amortization, power, ops time and the all-important utilization break-even.