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2026.10.17 · Sat

#编码

#编码

Tutorials

Tutorials, hands-on experience, usage tips, prompts and tool how-tos, and in-depth technical explainers.

10/16Fri
  1. AWS Machine Learning Blog73

    Introducing Reflection Beam, an open-weight model for agentic coding on AWS

    Reflection AI introduced Beam, an open-weight model for agentic coding and multi-step tasks, with 501 billion total parameters and 23 billion active parameters. Reflection reports an effective context length of 1 million tokens and releases Beam 1.0 under Apache 2.0 in BF16, FP8, and NVFP4 variants. The guide explains deployment through Amazon SageMaker JumpStart or HyperPod Inference with JumpStart, SGLang, or vLLM, including capacity planning, invocation, performance measurement, and cleanup.

    Why it matters: The deployment comparison clarifies when managed endpoints suffice and when Kubernetes infrastructure or custom runtimes offer useful control over serving configuration, distributed execution, and scaling.

10/14Wed
  1. Anthropic · X68

    Anthropic explains building in-house source control and migrating its monorepo from git

    Anthropic’s Engineering blog shares how it built a new version control system and fully migrated its monorepo from git in five months. In May, it merged around 2,500 code changes per day; in September, it merged more than 30,000 per day. That growth created bottlenecks in developer infrastructure built for human rather than agent scale: https://www.anthropic.com/engineering/redesigning-source-control

    Why it matters: Anthropic’s account connects rising code change volume with infrastructure bottlenecks, providing context for why development at agent scale prompted an internal source control rebuild.

9/17Thu
  1. GitHub Blog · AI & ML78

    GitHub uses Copilot to rewrite the Copilot runtime in Rust

    Using the GitHub Copilot app and Copilot CLI, GitHub completely rewrote the Copilot agent runtime from TypeScript into more than 800,000 lines of production Rust. AI agents wrote most of the code, merged incrementally into main across 128 pull requests rather than in a single cutover.

    Why it matters: Drawing on firsthand experience, the author reviews the 800,000-line Rust rewrite and shares agent-orchestration and review practices that can be reused.

3/11Wed
  1. Mistral AI62

    Mistral builds an agent with Vibe to write Rails tests automatically

    Mistral used its open-source coding assistant Vibe to build an autonomous agent that reads Rails source files, generates or improves RSpec tests, and runs in CI/CD without human intervention.

    Why it matters: Mistral has shared the full setup for an agent that writes RSpec tests, including a three-layer design with AGENTS.md, skills, and custom tools.

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