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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24 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...
Last week Will Larson (@Lethain) asked how leaders are evaluating engineering managers for AI skills. My reply, a list of questions to think...
📝 摘要 本文讨论「no look merge」——开发者完全不读代码就合并 AI 产出的 PR——究竟需要哪些前提。作者认为,仅把质量确认自动化(测试验证行为 + AI 做设计与安全评审、修正后重新验证、存在未执行验证或未解决指摘就不合并)并不足以移除人工审批,真正的障碍在于组织共识:如果漏检后开发负责人仍追究个人责任,那实际上等同于要求人继续读代码。文章引用 2021 年的 Ship / S…
How do you review code at the volume agents produce it? On the Claude Code team, once we had high coverage and deep reviews, we started optimizing for the minimum amount of human review time that doesn't raise reverts or incidents.
As our merges per day grew more than tenfold, source control became our biggest development bottleneck. Here, we share how we migrated to an in-house version control system in five months.
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...
Tech debt has rules. You cut a corner to ship on time, you write a comment that says TODO fix this, and six months later someone pays it down. It is annoying but it is bounded. A senior engineer can look at a codebase with tech debt and draw a map of where the bodies are buried.
The domain model and Ubiquitous Language matter more than ever when an AI agent writes your code.
A detailed review of Cursor Origin, covering Git hosting, GitHub sync, cloud agents, current limitations, and whether it’s worth switching.
Goals, loops, and the discipline of not delegating your judgment
CodeRabbit's new Agentic Change Management layer reimagines code review as AI agents outpace human teams' ability to plan and prioritize work.
Notes from my Thoughtworks colleagues on AI-assisted software delivery
The end state is easy to describe. An agent finishes a change, opens it, and it goes in without a human reading it.Not because anyone decide...
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 practical GitHub Copilot workflow for prototyping, planning, implementing, and reviewing software - without chasing every new AI tool.By @...
Merge conflicts aren't caused by Git. Learn how small pull requests, frequent merges, and better workflows dramatically reduce conflicts.
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...
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...
Open source software is the foundation of much of our digital infrastructure. However, is AI undermining the incentive structure? What needs to change?
There’s a lot of talk right now about "designing loops" instead of prompting your coding agent. If you spend some time on X trying to pin do...
The gate you becameAgents write code faster than anyone can read it. This is not a forecast; it is the baseline now. A single agent, in an a...
Cursor announced Origin on June 17, 2026—a git hosting platform built for AI agents, not just humans. Here's what it means for agentic coding teams and why it may reshape the developer tooling stack.
How Warp devised a simple development pattern that anyone can use to create self-improving agents.
How to transform your software development lifecycle with AI—stage by stage.