Agents Are Going Async
Imagine a chief of staff who disappears every time you hand them a big project and only comes back once it's done. You'd probably fire them ...
Topic
#subagent
20 篇笔记
Designing an Always-On Agent
Chatbots wait for a message. An always-on agent is single-threaded, proactive and situationally aware. Here's how we design them, and what models still lack.
Building agents: When to fold subagents into your main agent loop
When to consider using fewer subagents and how to migrate the into your main loop.
入职大厂两个月，我的 AI 开发心得
背景起因是和组里老板进行了几次 one-on-one。他对我目前使用 AI 工具、搭建个人 Harness，以及 AI Coding 的工作流很感兴趣。主要也是因为，我现在的需求做得又快又好，已经是一些项目的主 O 了。因此，我也借这个机会，整理了一下自己的日常 AI 工作流。目...
Running a Software Factory Efficiently at Uber Scale
Post author: @udaykiranIntroductionAI tools are now embedded in every phase of software development at Uber. More than 70% of pull requests ...
How to Cut Agent Tokens by 2.7x (using an open harness)
Everything you need to understand where your agent's tokens actually go and what to do about it. It covers what a production harness owns be...
Agent 终章（Harness 成本篇）：一次百炼账单降低 88% 实战
关于优化 token，本文或许能够提供一些经验和参考
Designing Agent Context by Scope and Time
When an agent performs poorly, we often blame the model.Then we enlarge the system prompt. When that becomes unwieldy, we add another agent....
Why model routing must be in the harness
Inference spend is rising as agents are deployed more widely, take on more complex tasks, and run longer autonomously. Enterprises are start...
Deep Agents vs LangChain vs LangGraph
Deep Agents, LangChain, and LangGraph each offer distinct approaches to building agents. In this post, we cover the key distinctions between...
Codex 进阶指南：作为 Multi-Agent 编排控制平面
大多数人用 Codex 的方式，是开一个会话、交代一件事、等它做完。这种用法只动用了它很小一部分能力。Codex 真正提供的是一组完整的调度原语：发现有哪些项目和会话、创建新会话、从已有会话分叉、给别的会话派活、等它们回来、观察它们的进展、纠正跑偏的那个、把任务搬到另一台机器、最...
多模型路由进入 Agent 会话之后
模型路由在单轮问答中可以按难度分配成本，但进入 Agent 多轮会话后，还要处理上下文、工具状态、缓存和隐式状态。本文拆解会话级路由的智能与工程瓶颈，以及固定强模型、隔离子任务和有状态路由三条现实路线。
The harness is all you need (mostly)
A practical GitHub Copilot workflow for prototyping, planning, implementing, and reviewing software - without chasing every new AI tool.By @...
The Orchestrator's Tax
Use subagents to protect the orchestrator's working memory, not just to save time or run tasks in parallel.
Practical multi-agent orchestration in Codex
GPT-5.6 Sol gets especially interesting when it has a team to work with. Codex's new Multi-Agent V2 tools give Sol and Terra a natural way t...
How to Build the Loops That Just Replaced Entire Prompt Engineering
For two years, getting more out of an AI agent meant writing a better prompt.That era is quietly ending. The best engineers in the world sto...
Designing a programmable runtime for agent orchestration
This article introduces Onyx, our VM for programmable agent orchestration. And by extension, a runtime that turns orchestration into softwar...
Loop engineering: the 14-step roadmap from prompter to loop designer.
Most developers still prompt their coding agents by hand. They type, they wait, they read the diff, they type again. 9out of 10 builders hav...
A harness for every task: dynamic workflows in Claude Code
Last week, we released dynamic workflows in Claude Code. Claude can now write its own harness on the fly, custom-built for the task at hand....
How to build a 4-agent team, that ships a feature while you sleep (Exact Setup Inside)
Four AI agents can ship a feature while you sleep. Most people never wire them up.They fire a reviewer here, a test generator there, by hand...