Kevin Lin

🇯🇵일본인 친구들에게 비밀스럽게 질문 하나 할게. 일본과 지리적으로 가까운 나라인 🇰🇷한국, 🇹🇼대만, 🇨🇳중국, 🇷🇺러시아, 🇵🇭필리핀 이 5개의 나라 중에 일본 입장에서는 한국인이 그래도 제일 괜찮지 않냐? 인종적, 정치적, 경제적, 문화적 거리감도 가깝고. 이젠 솔직히 말해봐. 괜히 츤츤거리지 말고. 솔직히 5개 나라 중 하나를 반드시 골라야 한다면, 한국을 고르는 일본인이 90% 이상은 될 거 같은데. 맞지?🤔

TL;DR - Fast runners (ex Blacksmith) - Oxlint for ESLint, bun check for tsc - Bigger test machines, Vitest isolation off - Fix caching, Blobless clones - Parallel jobs, nx affected - Pre-push hooks What are you waiting for? Send this to your agent :)

We instituted an official AI Writing Policy at @Clay. Massive thanks to @sophiebits on our engineering team who wrote this. Originally this was just for eng, but other teams found it so helpful we expanded it company-wide. Here are the four guiding principles: 1. You must stand behind every idea and sentence It is your responsibility to make sure that the entire document is representative of your own thoughts before you share it. 2. Writing is thinking Spending time on the writing process teaches you more about your topic. If you circumvent this process, you will walk away with a poorer understanding of the subject matter. 3. More time should be spent writing a document than consuming it If you generate a document from a short prompt then ask your readers to go through the longer output, you are disrespecting their time. They can talk to ChatGPT themselves if they want to. 4. Longer is not better AI makes it easy to generate long docs, and it loves padding them with sentences that say nothing. If you're producing docs from a short prompt, consider just sharing the prompt. You can read (and borrow) the full policy below. Hopefully we all communicate a bit more clearly now :)

果然任何公司都会有技术债，只是这次 OpenAI 选择了把技术债留给未来的 AI 来还。 OpenAI 刚公开了 ChatGPT 背后的存储系统 Habitat。 它现在每秒处理超过 7000 万次请求，保存 500PB 以上数据，服务每周超过 10 亿用户。但它最早只是一个连接数据库的小型 Python 库。 有意思的是，OpenAI 很早就知道 Python 扛不住未来的规模，也知道迟早要重写，但当时没有立刻动手。他们做了一个很大胆的判断，先用 Python 快速扩张，等必须重写时，未来的 Codex 和 GPT 会让迁移便宜很多。 后来这笔赌注真兑现了。 2026 年第二季度，两名工程师加上 Codex 和 GPT‑5.5，把整个服务重写成了 Rust。现在新版本已经承接 95% 的生产流量，CPU 效率提高 6 倍，内存效率提高 15 倍。 过去我们说技术债，是把今天省下来的时间，留给未来的工程师加班偿还。 OpenAI 这次做的是把债留给未来更强的模型。 这可能会改变软件开发里一个很基础的判断。 以前选错语言、架构不够完美，意味着以后要付一笔很贵的迁移费；如果 AI 能让大规模重写越来越便宜，公司就可能更愿意先用最快的方法把产品做出来，再让未来的模型收拾残局。 当然，这不是鼓励大家随便写。OpenAI 敢这么干，是因为系统边界、测试和监控都足够清楚。 没有这些，AI 重写的不是系统，可能是事故。

Today we're announcing our second employee tender offer. We passed $100m ARR earlier this year and now have more than 40,000 paying customers. The tender lets our teammates participate in that success at a $2.5B valuation: linear.app/now/sharing-growt…

I’m thinking about banning Claude code at Shopify until they change their mind and read AGENTS.md and .agents/skills etc. Insisting on only reading CLAUDE.md sometimes leads to split brain problems when different team members use different tools. Just unnecessary.

gpt 5.6 最让我受不了的就是： 我让它做一盘番茄炒蛋，它往里还加了东坡肉。 我说有必要加东坡肉吗？它说你说得对，然后把东坡肉去掉。 我说好，你提 PR 吧。再一看，它 PR 写着「番茄炒蛋（无东坡肉）」并且注释里会写一大堆为什么本道菜不需要加东坡肉。

Today we’re introducing Delta. Delta is a multiplayer environment for coding with agents and reviewing what they build, powered by DeltaDB. The first invites to our private beta are going out now. zed.dev/blog/introducing-del…

everybody who's not shooting for AGI is building the same thing: * an interface that sits as close as possible to a user's workflow: slack, email, terminal, standalone app, other existing app * infra that can run long-running agents on schedule or on demand that progressively learns (search/finetuning) and gets cheaper (eval-driven routing/finetuning/oss models etc.) the interface you give away for ~free, and you charge a premium over your infra cost. lots of opportunity there for the ones that can cap their non-model infra costs and keep quality high without bleeding money to frontier models

We’re announcing our $13.5M Series A led by @Standard_Cap. AI has taken over engineering and companies are wasting millions. Weave gets you the most out of every dollar spent on tokens. Have fun watching a man attempt to conquer his fears in the video.

Once we have completed our review for security vulnerabilities, we will make the entire codebase of 𝕏 open source, with no exceptions. Moreover, we will invite third party reviewers to examine the system that is running to confirm that the open source code is what is running. Trust through total transparency is the only thing that should be believed.