与「Coding」相关的搜索结果

📣 Kimi K3 is now available in GitHub Copilot for @code! Try Kimi Moonshot's latest open-weight model for agentic coding, now hosted by @FireworksAI_HQ. 📖 Learn more:

今天用 Kimi K3 给 CatReader 增加一广场的功能呢，其实改动量不少，包括前端后端和设计，差不多折腾了一天，上线了。Token 消耗比网传的少太多了。K3 的表现相当出色。 我觉得 Kimi 犯了一个宣传上的大问题，导致很多用户直接用 做 Coding 的事，但 Kimi App 做的是 Work 的事，用 Work 做 Coding，Token 消耗是急剧增加的。 我的 Vibe 群一堆用户用 Kimi App 而不是 Kimi Code cli 工具做编程，不烧 Token 才怪。

TapNow 正在招聘一名 Agent 工程师（QA 方向）。 你要负责把 QA Agent 调教好：让测试用例先行，让 Agent 能够可靠执行、正确判断、提供证据，并与开发 Agent 形成 TDD 闭环。 我们不要求传统测试背景，更看重你使用、开发和评测 Agent 的深度。如果你真正用 Coding Agent 做生产，并且想参与一个还没有标准答案的方向，欢迎来聊。 深圳｜builders@tapnow.ai

北京时间今晚7点（硅谷明早4点），CSDN 创始人蒋涛亲自下场聊Agent 近百个 Vibe Coding 作品之后，真正能上线的 Agent，难点已经不是 Demo 能不能跑，而是能不能接入真实数据、跑完长任务、失败后继续工作。 与 InfiniSynapse、InsCode 一起拆解：如何把 Agent 从“看起来能用”，做成真正可交付的应用

BREAKING: MiniMax H3 by @MiniMax_AI is 1st across 3 Video categories (Multi-Image to Video, Image to Video, and Video Editing) on Design Arena. MiniMax H3’s performance in Video Arena puts it ahead of other top performing models like Seedance 2.0 by @BytePlusGlobal, Grok Imagine Video 1.5 Preview by @SpaceXAI, and Gemini Omni Flash by @GoogleDeepMind. This marks another category to be led by open-weight models, following Kimi K3’s first place in our coding categories. Congratulations to the @MiniMax_AI team for establishing a new SOTA in video generation!

Introducing Prime Agent: A self-improving RLM harness for coding and long-running autonomous tasks. Designed to be both token-efficient and expressive through programmatic tool calling, context as a variable, multi-agent messaging, and a self-modifiable harness state.

Introducing the GOAT plan 🐐 Command Code GOAT plan is the best low-cost coding plan on the market today. - $10/mo to get $70 credits. 7x what you pay - 30+ open weight and closed models $1 Go got you started. GOAT gets you shipping. Subscribe — be a GOAT.

Today we are releasing Cloudflare OS, a chatbot with connectors, just like every other tech company is doing. Except actually, it's different. This is a remake of Sandstorm[.]io, my startup from 10 years ago, except this time built on Cloudflare Workers (the platform I've spent the last 9 years building) and deeply leveraging AI. This is more or less the culmination of my secret 10-year master plan. This is a full-on personal app vibe coding platform, in which the sandbox is so secure that you can pretty much go wild -- the AI cannot introduce a significant security bug. We believe a company's security team can feel comfortable giving non-technical users permission to vibe code and then sleep soundly at night. How is that possible? It's the Sandstorm security model, revisited. A "Gadget" is the same thing as a Sandstorm "Grain": a fine-grained app instance. For example, if you have a document editor app, each document runs as a separate instance of the app, in a separate sandbox (one "Gadget"). This means two things, both of which I think are Big Deals: 1. The platform can manage all access control, by controlling who can access the Gadget at all. There is no way the Gadget can accidentally leak itself to an attacker -- even an attacker who has access to other Gadgets based on the same app. 2. Since everyone is running their own copy of the code, everyone can freely *modify* their copy of the code. Think about #2# a bit more. What if, when you wanted a new feature in the software you are using, you could just prompt your agent to add it? This doesn't work in the cloud Software-as-a-Service model, because you are not running your own copy of the app. Sandstorm tried to change that 10 years ago, but the world wasn't ready, because not enough people had the skills or patience to actually modify their software. AI has changed that. Now you just ask the agent -- the same agent that you are using to help you interact with the Gadget can also modify the code of the Gadget. And it is so fun.

张一鸣才是真正的宫斗高手 很多人还在吹他“热爱技术、理工男工程师人设”，但现实完全不是那么回事。 1. 本科毕业一年小组长、两年技术部老大，直接管50多人（里面一堆清北博士）。小组长就已经基本不写代码了，他真正 coding 的时间离开学校后不到一年。这不是“逃离平庸重力、每天写到凌晨两三点”能换来的位置，这是政治敏感度拉满、不设边界的结果。 2. 抖音早期他根本不 care，会都不怎么去开，只盯着火山。等抖音真起来了，一手带起来的负责人被各种明升暗降，最后沦为剪映负责人，副总裁都没了。早期核心运营产品几乎全走光，连个声音都没有。对比百度那些人天天被挖，差距一目了然。