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Headlines · 2

  1. Akka tests spec-driven AI porting across 65 open-source projects

    Akka published an experiment in spec-driven AI-assisted software porting: it analyzed 65 open-source projects, generated specifications and implemented up to 10% of each project's functionality, with the first round taking 99.3 hours and 9.41 billion tokens, then selected 10 projects for full implementation based on system traits and measurable results. Akka says 57 of the 65 ports improved in lines of code or performance — Dify reportedly improved 143,333x (though the compared workloads differed) while Netflix Metaflow ran about 100x slower. Claude with Akka Specify handled implementation, testing and review; Sonnet averaged 61 minutes per port versus 120 for Opus, which used roughly 40% fewer tokens, and raising effort settings increased consumption without consistent efficiency gains.

    InfoQ 中文 AI&大模型 · 🔥 0
  2. Datawhale's Hello-Agents agent tutorial trends on GitHub

    Hello-Agents, a free open-source Chinese-language tutorial from the Datawhale community, appeared on GitHub Trending's Python list. Its 16 chapters cover classic agent paradigms (ReAct, Plan-and-Solve, Reflection), low-code platforms such as Coze, Dify and n8n, frameworks including AutoGen, AgentScope and LangGraph, and building a custom HelloAgents framework on OpenAI's native API, then move on to memory and retrieval, context engineering, MCP/A2A/ANP protocols, Agentic-RL training from SFT to GRPO, and agent evaluation. The project also ships hands-on case studies—a travel assistant, a DeepResearch agent and a simulated "cyber town"—with code and a PDF released for free.

    GitHub Trending · Python · 🔥 0

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