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...
Topic
#harness-engineering
28 篇笔记
The 5 levels of AI agents. From a single prompt to a production agent (Complete course)
There are five words people throw around about agents right now. Context engineering, loop engineering, Jev engineering, harness engineering...
Your Agent Harness Should Repair Itself
Everything you need to understand how an agent harness can learn from production failures and repair itself. It covers procedural memory, tr...
The Harness Playbook
Model the agentic harness like a game engine and most of its hard problems — durable state, tools, configuration, the TUI, inference — collapse into ones other people already solved.
Your Inference Server is Secretly a Learner: Open-Sourcing Reef for Continual Self-Improving Agents
1. Before all the “RSI” hype becomes realBefore today's excitement around RSI is fully realized, we want to open-source Reef, an infrastruct...
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 ...
Do you need a software factory?
A software factory is a repeatable loop around software work. If you're building a software factory, code good enough to ship still needs hu...
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
Recursive Self-Improvement
Agents can already edit their tools, skills, and harness. Recursive self-improvement still needs a system that can raise the verifier without capturing it.
5 design patterns for long-horizon agent harness
Any agent can look brilliant on a one-shot task. Give it a week of real work and it starts to fall apart."Long horizon" means the agent keep...
The Agent Harness Should Be Open
Today, we are open sourcing TrueForge, the agent harness we use at TrueFoundry to build and run general-purpose agents. Because once agents ...
Designing Loops for Production-Grade Work
What became standard practice after vibe-coding a production-grade BPE tokenizer trainer without reading a single line of code.
How to Design an Agent Harness: six decisions that turn a model into a worker you can leave alone
Your agent says the job is done and the tests never ran. It's sharp for twenty minutes, then forgets a rule you gave it at the start. You re...
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...
How to Build a Shared AI Harness for Your Team
I am going to show you how to turn the models, agents, skills, and automations living across your team's tools and workflows into one coordi...
YC 开源 QM：当每个员工都有 Agent，公司需要怎样的协作系统？
未来一家公司里，可能每个员工都有自己的 Agent。它们能读文件、查数据库、写代码、回复邮件，也能在后台持续运行任务。问题随之而来：这些 Agent 应该看到什么？记住什么？使用谁的账号？哪些能力可以共享？危险动作由谁批准？7 月 31 日，Y Combinator 开源的 QM...
Evaluating code review agents with ReviewBench
There are more code review agents now, and we’ve been building one internally. Code review is hard to evaluate. There aren’t many benchmarks...
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 @...
We rewrote our agent to run entirely in a Durable Object with Pi, Agents SDK and Code Mode
We recently finished moving the camelAI agent off of virtual machines. The agent now runs inside a Cloudflare Durable Object, its filesystem...
The Orchestrator's Tax
Use subagents to protect the orchestrator's working memory, not just to save time or run tasks in parallel.
Why Software Factories Fail: Turning the lights back on
This is part two of Why Software Factories FailThe talk version of this post is live on youtube: https://www.youtube.com/watch?v=Ib5GBkD555M...
Why Software Factories Fail
or: the harness is not enoughUpdate - the talk version of this post is live on youtube: https://www.youtube.com/watch?v=Ib5GBkD555M Part 1 i...
Towards Automating Eval Engineering
Today we’re releasing our Eval Engineering Skill, a skill that helps coding agents build evals using context from a repository and agent tra...
数据研发Multi-Agent架构的Harness工程实践
📝 摘要 本文基于阿里云数据研发团队的 Multi-Agent 实践，系统阐述了 Harness Engineering（智能体脚手架工程）的核心理念与落地方法。文章指出 AI 工程经历了 Prompt Engineering → Context Engineering → Harness Engineering 三代演进，并提出核心公式 Agent = Model + Harness：模型决定…
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...
Reshaping the economics of software: Building a future-ready core with Al/works™
Shift from AI experimentation to execution. Discover how Thoughtworks AI/works™ reshapes the economics of software delivery.
Building Reliable Agentic AI Systems
AI helping pharmaceutical researchers query decades of information buried in PDF reports