The Agent Architect · 2026-W35
The Agent Architect #35: 12-Factor Agent Methodology
预览:本期将于周二08:00 UTC发送。
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本周模式
12-Factor Agent Methodology
- 是什么:
- 将十二条软件工程原则应用于智能体系统，以在各类环境中实现一致性、可观测性和可扩展性。
- 何时使用:
- 构建需要横向扩展、在多种环境中稳定运行，并长期保持成本、性能与正确性可见性的生产级智能体系统时。
- 注意:
- 前期复杂度和基础设施开销都很高；团队常常过早过度设计，或在缺乏专职 DevOps 支持时难以一致地落实全部十二项要素。
本周智能体AI动态
- Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot ControlNVIDIA Developer
NVIDIA Cosmos 3 Edge world models can be adapted for robot control on onboard hardware.
- LFM2.5 Q4_0: Quantization-Aware Distillation for Edge DeploymentLiquid AI
LFM2.5 Q4_0 applies quantization-aware distillation for edge device deployment.
- TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR SystemsarXiv cs.AI
TurboBias 2.0 enables streaming context-biasing for production ASR systems with strict latency constraints and efficient batched decoding.
- Specification Portability Across LLM Development Agents: Cross-Agent Compatibility in Specification-Driven Software MigrationarXiv cs.AI
Cross-agent specification portability enables LLM development agents to reuse specifications for Oracle-to-PostgreSQL database migration.
- NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous AgentsNVIDIA Developer
NVIDIA AVO achieved 100% on ARC-AGI-3 benchmark, demonstrating a general-purpose architecture for long-horizon autonomous agents.
The Agent Architect
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