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Stop Burning Your AI Limits: A Token Diet for Long Coding Days

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A practical 12-tip framework for reducing AI token consumption during long coding sessions. Covers three tiers: behavioral habits (plan before coding, start fresh sessions, lower effort levels, match model to task), environment hygiene (slim config files, prune inactive MCP servers, use manual /compact, reference file paths instead of pasting blobs), and advanced agentic patterns (orchestrator-worker architecture, protecting prompt cache, short handoff loops). Also introduces a free open-source 'token-saver' skill that automates context hygiene. Key insight: output tokens cost 5x more than input, reasoning overhead is unavoidable, and the entire chat history is resent on every prompt.

    #llm#ai-agents#ai-coding#mcp#context-engineering
Aug 05•9m read time•From itnext.io
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Why Next-Gen Models Eat Your Budget AliveTier 1: High-Impact, Zero-Effort Wins (Behavioral Switches)Tier 2: Environment & Terminal Hygiene (Developer Tooling)Get Ethan Ram’s stories in your inboxTier 3: Advanced Agentic Patterns & ArchitectureFree: An Automated token-saver SkillSummary
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