Chrok @chrokey

Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.ai/blog/kimi-k3-1…

Awesome

xxchan @xiaoxxchan

4 weeks ago

不喜欢 ACP，又想调用各种 agent （Claude Code, Codex, Kimi Code, Pi, ...）的不妨试试 oar - Open Agent Runtime 🤓 github.com/botiverse/oar 思想类似于 @xuanwo 的 OpenDAL，用一个协议层（S3-compatible）去对接各种不同的服务就总会有很多坑，所以不如做成一个 library，从而可以做更多事。

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Strongly recommend Roamgate. It has become the control panel I use every day for my coding agents — checking what’s running, jumping into terminals, and reviewing diffs from anywhere. If you’re running multiple coding agents regularly, definitely give it a try.

Arthur @Arthurwh7

a month ago

Herdr Studio is now Roamgate! A browser client for Herdr: control terminals, check coding agents, and review diffs from desktop or mobile. Thanks @cancelik for building Herdr and the friendly nudge on branding 🙌 roamgate.dev

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@istdrc @jakevin7 小同学挺好的，咋不发展去 raft

@istdrc @jakevin7 说出来你可能不信，上次被骂先做厚再做薄的是我，这次二面也是我👻

Strongly agree. Guys should care about how they look too — not out of vanity, but as a form of self-respect. Learning how to dress, groom yourself, and simply look clean and put-together is a skill worth developing.

xxchan @xiaoxxchan

3 months ago

最近琢磨了一下穿搭，感觉其实变帅还是挺简单的……然后让我们家 bugen 总结了一下最主要的心法 「词汇表」：入门任何一个领域最重要的都是学会这个领域的语言，建立起基本的词汇表。在穿搭上，知道了如何描述风格，了解了品牌的名字，基本就入门了。

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In the agent era, the timescale of software architecture is collapsing. Problems that used to emerge after months can now show up in weeks. A lot of architectural intuition quietly assumes systems evolve at human development speed. That assumption is starting to break.

software is still about thinking software has always been about taking ambiguous human needs and crystallizing them into precise, interlocking systems. the craft is in the breakdown: which abstractions to create, where boundaries should live, how pieces communicate. coding with ai today creates a new trap: the illusion of speed without structure. you can generate code fast, but without clear system architecture – the real boundaries, the actual invariants, the core abstractions – you end up with a pile that works until it doesn't. it's slop because there's no coherent mental model underneath. ai doesn't replace systems thinking – it amplifies the cost of not doing it. if you don't know what you want structurally, ai fills gaps with whatever pattern it's seen most. you get generic solutions to specific problems. coupled code where you needed clean boundaries. three different ways of doing the same thing because you never specified the one way. as Cursor handles longer tasks, the gap between "vaguely right direction" and "precisely understood system" compounds exponentially. when agents execute 100 steps instead of 10, your role becomes more important, not less. the skill shifts from "writing every line" to "holding the system in your head and communicating its essence": - define boundaries – what are the core abstractions? what should this component know? where does state live? - specify invariants – what must always be true? what are the constants and defaults that make the system work? - guide decomposition – how should this break down? what's the natural structure? what's stable vs likely to change? - maintain coherence – as ai generates more code, you ensure it fits the mental model, follows patterns, respects boundaries. this is what great architects and designers do: they don't write every line, but they hold the system design and guide toward coherence. agents are just very fast, very literal team members. the danger is skipping the thinking because ai makes it feel optional. people prompt their way into codebases they don't understand. can't debug because they never designed it. can't extend because there's no structure, just accumulated features. people who think deeply about systems can now move 100x faster. you spend time on the hard problem – understanding what you're building and why – and ai handles mechanical translation. you're not bogged down in syntax, so you stay in the architectural layer longer. the future isn't "ai replaces programmers" or "everyone can code now." it's "people who think clearly about systems build incredibly fast, and people who don't generate slop at scale." the skill becomes: holding complexity, breaking it down cleanly, communicating structure precisely. less syntax, more systems. less implementation, more architecture. less writing code, more designing coherence. humans are great at seeing patterns, understanding tradeoffs, making judgment calls about how things should fit together. ai can't save you from unclear thinking – it just makes unclear thinking run faster.

The open-source ethos of Kimi CLI ~

xxchan @xiaoxxchan

9 months ago

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Kimi Code is now generally available!

Kimi.ai @Kimi_Moonshot

9 months ago

Introducing Kimi Code, an open-source coding agent under the Apache 2.0 License. 🔹 Python-based, easy to extend. 🔹 Fully transparent — clear, safe, reliable. 🔹 Seamlessly integrates with VS Code, Cursor, JetBrains, Zed, and more. 🔹 Fully-featured & out-of-the-box ready.

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@Kimi_Moonshot Intelligence, right in your face.

Intelligence, right in your face.

Kimi.ai @Kimi_Moonshot

9 months ago

🥝Meet Kimi K2.5, Open-Source Visual Agentic Intelligence. 🔹Global SOTA on Agentic Benchmarks: HLE full set (50.2%), BrowseComp (74.9%) 🔹Open-source SOTA on Vision and Coding: MMMU Pro (78.5%), VideoMMMU (86.6%), SWE-bench Verified (76.8%) 🔹Code with Taste: turn chats, images

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@real_kai42 可能刚回来水土不服

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