Critical thinking when agents do the work
Back in the day, critical thinking was taught as approaching new info with humble curiosity and a healthy dose of skepticism - take in diffe...
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29 篇笔记
Back in the day, critical thinking was taught as approaching new info with humble curiosity and a healthy dose of skepticism - take in diffe...
... as of October 2026.Use the latest and greatest models. Everything else is potentially a waste of time. If a model is wrong 10% of the ti...
一条 3 分钟的梵高动画:名画在金画框里一笔一笔画出来,旋涡会动,信封会飞,拍卖槌会落下。没有下载一张图,没有打开剪辑软件,我自己也没写一行代码。画面全是 Claude 写程序“画”出来的。做完这条,我把市面上用 Claude 做动画的玩法全部扒了一遍:官方工具、开源项目、海外爆...
Hello 大家好,我是lemomo。这次 Lemo-Opuscar 迎来了上线以来最大的一次更新,不光有新的风格,还有新的玩法,整个项目定位从【视频风格库】变成【搭建自己风格库的工具】。新增【剪辑与纪实】8 种风格,目前从最早的39种已经更新到了59种。未来会继续更新,我的目标...
I work on Claude. It's an interesting experience: Every day I learn about yet another feat accomplished with or by Claude that I hadn't considered, didn&
我之前面试了一家做 AI + web3 业内比较厉害的公司,但是没有通过吧,面试之后面试官给我了一份《Agent工程师入门指南》。我把它整理了一下,分享出来给大家提供参考,这是一份很详细很详细的、关于如何成为 Agent 工程师的文档,并且补充上我自己的学习心得当时给我的答复是 ...
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...
How to find the decisions hiding inside your agents, write questions a system one model answers well, route on calibrated confidence and han...
An agent harness is a piece of software that provides an environment for an AI model to operate within.
A short summary of how reasoning traces work.
When an agent performs poorly, we often blame the model.Then we enlarge the system prompt. When that becomes unwieldy, we add another agent....
Notes from my Thoughtworks colleagues on AI-assisted software delivery
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...
A comprehensive guide to designing, orchestrating, and deploying AI agents—covering use cases, model selection, tool design, guardrails, and multi-agent patterns.
I’ve written previously about how to best prompt the newest generation of Claude 5 models and work with them iteratively to discover what yo...
How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes
📝 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…
Not about speed. About making several agents with different viewpoints argue over one decision and reach a conclusion better than any of the...
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...
Why Domain-Specific Languages and good abstractions make LLM code generation reliable and reviewable.
There are 8 billion people on the planet.Only a fraction of developers understand how AI agents actually work.Not the demos. Not the hype.Th...
Every team building AI agents hits the same wall.You start with one prompt and a few tools.It works. Then requirements grow. More edge cases...
Vercel 的设计系统规范,真的是我见过的教科书级样例。今天认真学习他们的 DESIGN.md,一亮一暗两套主题,彻底把颜色、字体、间距、组件、动效、文案规则,全部描述成了一套可以执行的设计方法。感觉以后我所有产品的 design.md 都可以照这个路子来写了。具体在这里:ve...
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...
The week everything changed, I was not in front of my computer.Three content pieces went out before 9am. Four leads got qualified and follow...
Wake up babe there's a new paper from Harvard: Economy of Minds (EOM). They've made a decentralized multi-agent system where agents coordin...
太长不看:把这个丢给你的codex/claude:https://github.com/enderzcx/pi-docs-playbook别急着写 Agent,先把 pi 文档喂给 Codex 读对一开始接了个业务,只是把大模型封装了一下,以为这样就能当业务 Agent 卖出去...
My experience of setting up the Pi coding agent with DeepSeek, installing packages, and using it for side projects and experiments.
IntroductionYou're a developer. You're using Claude and Codex CLI and you're wondering everyday if you're sufficiently juicing the shit out ...