rajatim Most CI failures are lint errors, typos, and formatting issues—anyone can fix them, but each round costs 10 minutes of waiting. Anthropic’s internal YOLO Push concept lets Claude auto-fix these mechanical failures, with a complete GitHub Action YAML example and safety boundary design.
CI 失敗最常見的原因是 lint error、typo、格式問題——任何人都能修，卻要等 10 分鐘。Anthropic 內部的 YOLO Push 概念讓 Claude 自動修復這類機械性失敗，含官方 GitHub Action YAML 範例和安全邊界設計。
Single LLM calls miss details. Agents take forever and get stuck. What are the options in between? A visual spectrum + 5 questions to help you decide.
LLM 一次回答不完整，Agent 又跑很久還常卡住——單次呼叫、CoT、RAG、Agent 到底怎麼選？一張光譜圖 + 5 個問題幫你判斷。
LLM-generated Chinese often mixes terminology from different regions. Taiwan readers stumble over Mainland terms like ‘用户’ and ‘调用’. The zhtw tool lets you localize with one command—supporting CLI, Python integration, and batch processing.
LLM 生成的中文內容常混合不同地區用語，台灣讀者看到『用戶』『調用』會出戲。zhtw 工具讓你一個指令完成在地化，支援 CLI、Python 整合、批次處理。
85% of developers use AI coding tools, yet 43% of enterprises abandon AI projects due to ‘lack of technical maturity.’ The problem isn’t the tool—it’s that your codebase isn’t ready. Here’s a 5-level engineering foundation checklist.
85% 開發者在用 AI 工具，但 43% 企業因「技術成熟度不足」放棄 AI 專案。問題不在工具，而是 codebase 還沒準備好。5 層工程地基檢查，讓你知道團隊卡在哪一層。
The shift from Spec-driven to Intent-driven isn’t just about new tools—it’s a fundamental change in how we approach software development.
從 Spec-driven 到 Intent-driven，不只是工具的改變，而是開發思維的典範轉移。