Investing 10,000 RMB in AI: A Year of Tools, Practices, and Reflections (opens in new tab)

📌 One-Sentence Summary A systematic summary of a veteran developer's practical experience in the AI wave, covering everything from MAC toolchain optimization and Harness Engineering architectural constraints to building an Agent-driven automated learning loop. 📝 Summary The author shares their journey and technical insights after investing 10,000 RMB to deeply integrate AI into their workflow over the past year. The article introduces an AI-ready MAC toolchain (including AeroSpace, Raycast, a...