写了20年C++,现在用AI写代码

Joined July 2010
这个模型有点东西,也是个里程碑,我在 zcode 里体验丝滑,有第一次用 Opus5.5 的畅快感。几个长程任务都圆满完成,对 flash 模型刮目相看
🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4
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看谁买智谱套牢了,就看下谁在传 GLM5.5 或者在吹 GLM
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明天我将摸一天鱼,重点研究 DeepSeek infra 杰作,看有哪些活
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Opus5.5 是一批新的研究员 fix 了原来的训练范式获得了意想不到的效果,这个秘密看其他厂多久能悟到。
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虽然我是特斯拉车主,但是我觉得马斯克这个属于咬打火机级别的整活。但是不妨碍他在我心中牛逼的形象,有钱有技术,估计是觉得太无聊了。
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OpenAI 是最大方的 AI 公司,Chat 不算额度
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国内 DeepSeek,Kimi,GLM 开源 LLM 御三家,其他家就别搞了吧浪费卡,在此基础上做做 RL 就行了
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DeepSeek 什么时候来大的,小版本更新不过瘾
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有个疑问为啥不叫 DeepSeek v4.2 flash
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梁圣:黑子说话🗣️
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🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4
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pstack 还是很厉害的,但是这个只适合 SOTA 模型,GLM5.3 这种完全没有这个效果。Astra 和 Opus5.5 效果都很好
it's easy to fall into the trap of micromanaging your agents instead of correcting the environment that shapes its behavior. pstack 0.15.9 now ships a new /correct skill: if you keep correcting agents for the same mistakes, it finds the pattern and fixes it with architecture, types, and checks. i like to imagine that commits rapidly flowing into the codebase are like a bonsai tree rapidly growing in whatever direction it pleases. what you want to do is not to give in to the chaos, but tame it intentionally with the right constraints 0.15.9 also has improvements to: • /architect: now includes instructions on designing agent friendly architecture • a new /benchmark-checklist skill based on @brendangregg's benchmarking checklist here's a prompt you can give to grok bot to start architecting a better codebase with pstack: /poteto-mode create a new Project agent to refactor and rearchitect my repo so that our architecture is more agent friendly. it should use both the /correct and /architect skill to look through past commits and find the most common pitfalls that agents fall into, whether its with code quality, performance, or bugs. if relevant you can also use the /recall skill to find past conversations for context. it should make a high level plan for me to review. it should also answer its own open questions by prototyping rather than defer to me. come back to me with a plan backed by real data. once i approve the plan, use either the stack or full autopilot playbook (ask me which i want) to execute
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听信了价值投资,投资了恒生科技股。吃亏在,我是真懂技术的,买了几个真的在搞技术的,亏得裤衩都不剩。
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炒股治好了我抠搜的毛病,每当我买东西嫌贵的时候,想到的亏损,瞬间觉得便宜
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有工作的要多点外卖,这样没工作的可以去送外卖,正循环
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代码是否需要人工 review,取决于你在做什么,允不允许犯错。从当下的实践来看,互联网 APP 级别的可以完全不用,可以快速迭代,你还在 review 代码的时候,对手已经根据用户反馈已经发了两个版本了,你做不到快速迭代需要查看下自己的 CI 系统和测试覆盖率 如果你是在做一个比较严肃的系统,建议还是要人工 review,现在 AI 已经能辅助 review 了,能缩减 review 时间,以我的经验需要 review 是因为:1. AI 可能会误解你的意思 2. AI 在复杂多线程并发时候会犯错
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没太明白,现在 Dot,Bot,Muse 和之前的 OpenClaw 什么区别,为什么又火了
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tmux + git worktree is all you need. tmux 本身 C/S 结构,自带 IPC,可以很方便通过 send key ,set-buffer 在各个窗口传递信息 worktree 用来做工作区的隔离,避免 git stash ,git clone, 所有工作区都是独立目录,但是共享.git 新开一个工作区 秒级完成 一个复杂任务一个 session,一个 session 可以多个窗口,每个窗口一个 agent,每个 Agent 可以根据工作内容选择是否用独立 worktree 多个任务并行,天然通过 session 隔离,tmux session 可以很方便的 attach,detach
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