Report | March 22, 2026

Domain	Items	Top Score	Headline
🤖 AI Sector	4	55.25	Geopolitical conflicts disrupt supply chains, AI compute costs set to soar.

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📌 Geopolitical conflicts disrupt supply chains, AI compute costs set to soar.

★★★☆☆ 55.25 | Source: Financial Times

The Financial Times notes that the Iran conflict could cool the AI boom through three dimensions: global supply chain disruptions, semiconductor production bottlenecks, and capital shifting to defense. For Chinese tech practitioners, this isn't just distant news—it's a wake-up call for supply chain security.

Acquisition costs for core hardware like GPUs may soar again, with extended delivery cycles. Teams should reassess their compute reserve plans, monitor the maturity of domestic alternatives, and incorporate degradation strategies for resource-constrained scenarios into their architecture designs. Don't wait for hardware shortages to start planning.

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📌 4,500+ star open-source course: bridging the gap from demo to production-grade RAG.

★★★☆☆ 54.75 | Source: Trending repositories on GitHub today · GitHub

Many teams' RAG (Retrieval-Augmented Generation) implementations are still stuck at the demo stage, far from "production-ready." This highly-starred open-source course addresses this pain point head-on, providing an end-to-end solution for building autonomous Agent RAG systems, including Python code examples and real-world project deployment.

Engineers working on LLM deployment should bookmark this immediately and focus on the pipeline construction and fault tolerance modules. This is the critical leap from "toy" to "tool," helping you avoid many production environment pitfalls.

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📌 Nearly 100,000-star guide: build your super AI coding assistant.

★★★☆☆ 54.75 | Source: Trending repositories on GitHub today · GitHub

This is a performance optimization system for AI coding tools like Claude Code and Cursor, with extremely high community attention. It's not just teaching you to write code—it's building an Agent's skills, intuition, memory, and security capabilities.

For developers, this is essentially an advanced Prompt Engineering practical library. Dive into the source code to learn how context management and toolchain integration can make AI your true "super pair programming partner," not just an autocomplete tool.

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📌 Haskell binary slimming in practice: engineering insights for containerized deployment.

★★★☆☆ 52.25 | Source: Hacker News

Hacker News is discussing how to optimize Haskell binary size at the linking stage. While Haskell isn't mainstream in China, this technique offers valuable insights for teams pursuing minimal container image sizes.

In Serverless or edge computing scenarios, smaller binaries mean faster cold starts and lower bandwidth costs. If your project uses Go or Rust, you can also reference the linker optimization approach to check for unnecessary dependencies and "slim down" your application.

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