Qwen3-8B

Headlines · 2

1. 2d
   HERMES: modular executable Dev-Primitives for software engineering agents

   An arXiv paper introduces Dev-Primitives, an abstraction that pairs each repository artifact — source files, configs, tests, dependencies — with a resident LLM, giving it an agent-native interface for natural-language reasoning, inter-component communication and localized self-modification. Built on top of it, the HERMES harness-engineering framework activates these primitives at repository scale via dependency-aware dynamic activation and a bug-diagnosis mechanism that maps execution evidence back to the components needing revision. The authors report HERMES beats matched baseline harnesses by 12.4% on average across four software engineering benchmarks, stays within 4.5% of a homogeneous GPT-5.6 Sol configuration even with Qwen3-8B Dev-Primitives, and cuts inference cost by 26.2% on Terminal-Bench 4.0.

   Hugging Face · Papers · 🔥 0
2. 2d
   AWS adds SageMaker inference-optimization skill for coding agents

   AWS introduced the aws-ai-ml skill through the Agent Toolkit for AWS, giving MCP-compatible coding agents such as Kiro, Claude Code and Codex SageMaker AI inference optimization and benchmarking expertise. The skill load-tests existing endpoints and reports measured throughput, latency percentiles and concurrency, ranks instance types for models stored in S3, in SageMaker JumpStart or on Hugging Face Hub, compares two benchmark runs, and generates runnable SageMaker Python SDK v3 code. It can be installed locally via an npx command or used in a preconfigured image inside a private Amazon SageMaker Studio JupyterLab space.

   AWS Machine Learning Blog · 🔥 0

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