Optimizing AI Coding Context: On-Demand Skills to Slash Token Tax
AlexKim · x · 2026-08-07
The author shares practical experience in optimizing the context for AI coding assistants. By trimming a massive configuration file down to 151 always-loaded lines and utilizing 4 skills that load on demand, they successfully reduced the context tax per session by 7x without altering the existing AGENTS.md knowledge base.
This "diet" strategy preserves core knowledge while significantly boosting the model's efficiency in processing instructions.
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