Together AI 用 AI 代理自动化复杂工程任务的经验
原标题：How Together AI Uses AI Agents to Automate Complex Engineering Tasks: Lessons from Developing Efficient LLM Inference Systems
AI 摘要
Together AI 通过博客分享了使用 AI 代理自动化复杂工程任务的经验，重点介绍了开发高效 LLM 推理系统（如推测解码）的案例。他们提出了六个构建自动化代理的模式，分为基础设施模式和行为模式，强调工具质量、文档完善、任务可验证性等原则。该代理系统显著减少了人工干预，提高了工程效率。
正文节选
TLDR: Building AI agents to handle complex and long-running engineering tasks requires a different approach than typical AI agent applications. We illustrate key patterns for effective agent development through a real-world case study: using agents to accelerate LLM inference via speculative decoding. Introduction From Cursor and Claude Code to our recently released open data scientist, we’ve seen the power of coding agents in automating various applications (code understanding, review and debug