AICU LABS 한국어 지침도 검증 대상이다 — 대회 규정을 Claude Code 스킬 5개로 만든 해커톤 회고 대회 규정을 Claude Code 스킬 5개로 만들어 쓴 해커톤 회고. 테스트를 통과한 앱의 결함 2개와, 지침에 남은 과장된 근거를 정정한 이야기.
AI 한국어 AI 시대, 프로그래밍 공부는 어떻게 달라져야 할까? 개발자가 갖춰야 할 3가지 핵심 역량 AI가 코드를 쓰는 시대, 개발자는 무엇을 공부해야 할까? 목적 있는 프로젝트, 시스템 설계, AI를 학습 도구로 쓰는 법.
AICU LABS Build an MCP Gateway in Python: Least-Privilege Tools per Agent, and What It Costs How do you give each AI agent only the MCP tools it should have? We build a small gateway in front of the official git, fetch and time servers and measure it: tool tokens down 57-69% per role, about 0.6 ms per call, and 9 of 9 out-of-policy calls refused.
AICU LABS Build an MCP Server in Python: YOLO11 Object Detection as an Agent Tool, and What MCP Really Costs How do you build an MCP server, and what does it cost? We expose YOLO11 detection as MCP tools with the official Python SDK 2.x, then measure stdio overhead (0.6 ms), cold start (1.4 s) and why a base64 image as a tool argument costs 71,000+ tokens.
AICU LABS OSNet Person ReID in Python: Choosing a Variant, Exporting to ONNX, and Measuring CPU Latency Which OSNet model should you use for person re-identification, and how fast is it? We load torchreid model-zoo weights, match YOLO11 person crops, export to ONNX and time four variants on a laptop CPU, with code you can run.
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