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文库
- 1 AI 时代，实时入湖正在告别 ETL：从 Kafka 到 Iceberg 的架构减法
- 2 科普篇｜FDE 和咨询、外包、员工的差异是什么？
- 3 Loop Engineering 概念解析、思考与实践
- 4 Innovation in Action: Document Detection - How Deep Learning Has Changed The Game
- 5 Innovation in Action: A Deeper Look at Genius Scan's Auto-Rotate Technology
- 6 Steering Claude Code: skills, hooks, subagents and more
- 7 Android Journey Tests with Gemini: CI Setup & 11-Week Review
- 8 Palana (Part 1): Why Grab built a secure platform for autonomous AI Agents
- 9 Satya on Loopcraft: Building Frontier Ecosystems
- 10 你的 Harness 工作流真的在进步吗？我们用一场考试撕掉了遮羞布
- 11 Grit: rewriting Git in Rust with agents
- 12 スクラムが新卒の学習環境として優れている理由 ── リファインメント・プランニング・モブプロから何を学んだか
- 13 From Chaos to Clarity: How We Built a Unified, Self-Routing Support Ops Ticketing System at Lyft
- 14 Metric Semantic Layer: How Lyft Governs and Scales Key Data Definitions
- 15 AI 时代的质量门禁左移：Agentic Quality Engineering 架构与落地模板
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