AI token usage tips 🎓, the AI expertise trap 🪤, control ideas over code 🧠

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A specialized AI agent workflow was optimized by transitioning from a natural language instruction model to a compiled code version TLDR DEV 2026-07-14 [WEBINAR] 8 LEVELS OF CONTEXT MATURITY IN AI-NATIVE ENGINEERING (SPONSOR) AI is in your engineering workflow. While the token spend shows it, the throughput doesn't. The human is very much still in the loop, and that's a context problem. Join live July 23 (FREE) to learn: * The 8 levels of context maturity: where most teams are stuck and what the ceiling looks like at each stage * Why more MCPs, rules, and skills provide agents access but not understanding * How leading engineering teams are using a context engine to make the most of their agents Register now 🧑 💻 ARTICLES & TUTORIALS HOW I CUT AN AI AGENT'S TOKEN USE BY 94% (7 MINUTE READ) A specialized AI agent workflow was optimized by transitioning from a natural language instruction model to a compiled code version, which reduced token usage by 94% and latency by 87%. The…

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