클로드 코드(Claude Code) 효율을 극대화하는 설계 원칙

The context window of Claude Code has grown to 1 million tokens, so why do people still forget the rule just mentioned? Often, it is not a flaw in the model, but a problem with how it is handled. In this video, we have summarized three design principles based on the agent's operating mechanism. ① Control the context window — From context lots, Lost in the Middle, and GraphWalks experiments (256K: 85.9% → 1M: 68.1%), we will explain why the idea that "it is safe because there is capacity left" is incorrect. ② Document instructions in files, not in conversation — When promoting to CLAUDE.md if the same instruction is repeated twice. ③ Control the verification process, not the output — Create a Pass/Fail closed loop where the agent grades itself. We have also included a demo comparing context consumption before and after using sub-agents in an actual project (AI Diary). 📌 Timestamps 0:00 Intro — The Million Token Trap 1:04 What is a Context Window? 1:51 "Is It Really Necessary to Save It?" — 4 Technical Justifications 5:27 [Practical Application] /clear · Subagent · /compact 6:44 [Demo] Comparison Before/After Using Subagent 9:14 Principle 2. Textualization with CLAUDE.md 10:35 Principle 3. Creating a Verification Loop 11:21 Wrap-up — Control · Textualization · Verification 📝 Blog (Includes link to original paper, more detailed summary) https://codegear.tistory.com/163 #ClaudeCode #AICoding