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Developer details effective AI instruction placement for Claude Code

A developer shares a strategy for effectively instructing AI models like Claude Code by placing rules in specific locations within configuration files. The developer emphasizes that rules placed deeper in the file hierarchy, such as in hooks or CI scripts, are harder for the AI to ignore than those in general context files like CLAUDE.md. A key example provided is a rule that dynamically assigns AI models (Haiku, Sonnet, Opus) to subagents based on task complexity to manage costs. AI

IMPACT Provides practical guidance for developers on optimizing AI model usage and cost through effective instruction engineering.

RANK_REASON Developer shares personal strategy and technical details for using an AI product.

Read on dev.to — Claude Code tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer details effective AI instruction placement for Claude Code

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5 / 100
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Developer shares personal strategy and technical details for using an AI product.
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product, other
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High
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  1. dev.to — Claude Code tag TIER_1 English(EN) · Ahmad Dogar ·

    Agent instructions that actually change behaviour

    <p>My global instruction file for Claude Code has a five-line rule about which model a subagent should run on. It changes how every session spends money, and a short test shows that it does. Most instruction files I read are the opposite: long lists of sensible advice with no vis…