域名动态下,lauren 直接接话;之后 Tibo 又引用原帖更新了网站浏览量。
https://t.co/Fgy0dBAHsJ has landed
@thsottiaux 💀💀💀 i cant afford https://t.co/jFbbOGZjag
把每一次公开的 @,收进同一本小册子。
按时间收藏,每一段都有原帖。
域名动态下,lauren 直接接话;之后 Tibo 又引用原帖更新了网站浏览量。
https://t.co/Fgy0dBAHsJ has landed
@thsottiaux 💀💀💀 i cant afford https://t.co/jFbbOGZjag
Tibo 点名借一点力量,lauren 随后带着图片回应。
@TokenGremlin @poteto lend me some of your strength, there is still time
@thsottiaux @TokenGremlin https://t.co/RNpsc2XJvo
围绕 Dots 用户规模的多人讨论。保留中间回复,避免误当成两人的直接对话。
@alexandr_wang Step 1: Quit posting butts and go buy containers Step 2: ??? Step 3: Celebrate your 12 users
@alexandr_wang @thsottiaux https://t.co/rxh1IJ0cNh
一个问智能体界面的最终形态,一个用产品名接梗,最后用图片回答。
is chat the final form of agent ui? please share why
@poteto Close, but it's missing the gpt
lauren 写下如何信任智能体的工程经验,Tibo 在回复里表示认同。
how do you trust your agents' work more? copy this post/link and give it to your @bot or agent! 1. codebase improvements: this is just good software engineering - better architecture, stronger types and invariants, clear boundaries. agents love to copy what exists and take the shortest path, so make the easy thing the right thing. categorically eliminate problems through code and you won't need to think about it again. 2. static analysis: lint rules, tests, CI, verification (eg TLA+). very token efficient ways to catch issues ahead of time. 3. prose: comments, rules, AGENTS.md, skills - anything that can't be enforced and requires agent judgment. use it minimally, but do use /create-verification-skill. 4. human review: the hardest to scale. at the rate agents land code, it's pretty much impossible to thoroughly review every PR, so spend that effort on the highest leverage point, designing an environment where agents do the right thing by default. this forms an inverse pyramid: you want most of your effort at the top, least at the bottom. codebase improvements are deterministic, making it more token efficient, and lets you sleep more soundly at night. install https://t.co/u9xIlN3eN0 and create a new Project: 1. look through my slack/chat messages and code review comments where i've given feedback on PRs, code, architecture 2. use /recall on my past transcripts to learn how i steer agents 3. /poteto-mode use /correct and /architect on past commits to find the most common pitfalls agents fall into, then propose a plan to rearchitect the code i own so it's more agent friendly. answer open questions with prototyping rather than defer to me, and back the plan with real data. 4. before you begin, use /sharpen + /in-your-own-words and confirm this prompt with me
@poteto @bot Small @poteto speaks big facts
“回来”的话题之后,多人回复分支里又聊到了智能体队伍。
@amorriscode @poteto @theo If you’re not a bit afraid of your army, it’s not a good army
点一下卡片上的爱心,把喜欢的来回留在这里。
已展示 6 / 22 段片段 · 本地原文快照
小册子还很薄,但每一页都有出处。