中转进入决赛圈的是 ： DMIT :LAX.AN5.Pro.STARTER 和 搬瓦工的 DC6 求佬给点意见，主要是用ai的接口和做代理。 还有就是选东京和洛杉矶，佬们怎么看？ 15 个帖子 - 10 位参与者 阅读完整话题
Article URL: https://github.com/smol-machines/smolvm Comments URL: https://news.ycombinator.com/item?id=47808268 Points: 119 # Comments: 48
Once subagents start spawning other subagents, basic questions get hard to answer: what is running right now, what tool did it just call, did the child agent actually do what the parent asked. I wanted a way to verify that each agent is doing the work that fits its role, and to spot when a run goes off track. Lazyagent is a terminal TUI that collects events from Claude Code, Codex, and OpenCode and shows them in one place. It groups sessions from different runtimes by working directory, so Claude and Codex runs on the same repo appear under the same project. Features: - Filter events by type: tool calls, user prompts, session lifecycle, system events, or code changes only. - See which agent or subagent is responsible for each action. The agent tree shows parent-child relationships, so you can trace exactly what a spawned subagent did vs what the parent delegated. - View code diffs at a glance. Editing events render syntax-highlighted diffs inline, with addition/deletion stats. - Search across all events. You know a file was touched but not which agent did it -- type `/` and find it. - Check token usage per session. A single overlay shows cost, model calls, cache hit rate, per-model breakdowns, and which tools ran the most. - Watch a run in real time, or go back through a completed session to audit what happened. Please let me know if there's any feature you want! Comments URL: https://news.ycombinator.com/item?id=47805963 Points: 1 # Comments: 0
查看docker相关信息 docker info 1. 查看docker下容器 docker ps -a 2. 启动容器 docker start XXX 3. 停掉容器 docker stop XXX 4. 重启容器 docker restart xx 5. 删除容器 docker rm xxx #强行删除所有镜像 docker rmi `docker images -q` -f #删除Exited的容器 sudo docker rm $(sudo docker ps -qf status=exited) 6. 运行容器 以启动adminmongo为例 docker run --name adminmongo -d -p 18081:4321 mrvautin/adminmongo # 查看docker日志 docker logs -f -t --tail 1000(行数) 4a7fdcc7ab8e(容器名) 7. 进入到容器 我用过的两种方法 1. docker exec -it XXX /bin/sh 2. docker attach XXX 8. 删除无用docker镜像 docker images | grep none | grep -v grep | awk '{print $3}' | xargs docker rmi -f 9. 更新容器重启celve docker update --restart=no XXXXX(你的containerId) 10. 查看docker信息 docker inspect XXXXX(你的containerId) 11. 删除镜像 docker rmi XXXXX 基本这几个命令，docker就可以上手了 6 个帖子 - 3 位参与者 阅读完整话题
6 个帖子 - 3 位参与者 阅读完整话题
之前一直在福利板块白嫖老铁的百炼coding plan 本身的工作内容基本都是根据业务做开发 不需要多深的技术 感觉29的性价比还是很值的： 4 个帖子 - 4 位参与者 阅读完整话题
Start with a FREE instant website for your AI on the open internet, then work with it to build a business that sells specialized datasets, files, premium reports, blogs, courses and more. Comments URL: https://news.ycombinator.com/item?id=47802211 Points: 2 # Comments: 1
本帖使用社区开源推广，符合推广要求。我申明并遵循社区要求的以下内容： 我的帖子已经打上 开源推广 标签： 是 我的开源项目完整开源，无未开源部分： 是 我的开源项目已链接认可 LINUX DO 社区： 是 我帖子内的项目介绍，AI生成、润色内容部分已截图发出： 是 以上选择我承诺是永久有效的，接受社区和佬友监督： 是 以下为项目介绍正文内容，AI生成、润色内容已使用截图方式发出 [Seedance2-Storyboard-Generator] 项目，大概是新年时候在linux.do开源的，感谢佬友支持。 【开源】Seedance 2.0 Claude Agent Skill 一键写好剧本 - 将小说/故事转化为多集视频 开源项目差不多1000star了 ，每天不停增长，而我从来没有做过推广，都是自然增长。感觉可以介绍一下为什么 -怎样做 -经验分享： 项目来源 seedance效果很好，而且功能已经非常强大，但是我看了市面上的大部分开源项目，都是用传统那种分镜和首尾帧方式，还有就是大量强调一致性，其实seedance根本不需要这些，seedance需要的其实是文学，所以我就做了这个开源项目。 怎样开发 主要开发流程是，我看了大量博主写的seedance文章，看了seedance自己的飞书文档，很详细介绍。那么我就基于这些让ai一步一步吸收，做成skill。 第一步就是：搞定分镜 【开源】【演示】最近发布的seedance2分镜和剧本项目得到佬友的支持，介绍使用方法 开发调优 最近发布的seedance2分镜和剧本项目，得到佬友的很多支持，我详细介绍使用方法： 1，如果是打算做一个15s以内的短片片段，需要分镜，那么就选择这个分镜开源工具： 使用地址： https://liang.348349.xyz/seedance-prompt-chat [image] 2， 如果佬友想做大制作，搞短剧，短片，甚至电影，那么就试试我这个剧本的ai开源项目，它本质就是 … 就是利用好镜头，细节描写，动作等等。 后来我又看了很多博主写的文章，怎样让内心os，狗血剧情，雪山狐狸等等能够表达出来，复杂的心理描写等等，我就优化新的版本： 开源update-优化好看的剧本分镜-精彩不少所以更新给佬用-Seedance2-Storyboard-Generator 资源荟萃 本帖使用社区开源推广，符合推广要求。我申明并遵循社区要求的以下内容： 我的帖子已经打上 开源推广 标签： 是 我的开源项目完整开源，无未开源部分： 是 我的开源项目已链接认可 LINUX DO 社区： 是 我帖子内的项目介绍，AI生成、润色内容部分已截图发出： 是 以上选择我承诺是永久有效的，接受社区和佬友监督： 是 以下为项目介绍正文内容，AI生成、润色内容已使用截图方式发出 新年前在l… 感谢佬友一直支持。 第二步就是： skill一直优化 ❯ 很好，请把刚才的成功经验更新 skill ❯ 很好，请你反思刚才的流程，不是很顺畅的完成，发现的问题， 请优化一下 claude skill , 让接下来的请求更顺利 优化很多次迭代，一步一步搞出不错的skill，就是这样搞出来的。 第三步就是： seedance实战 我购买了2个seedance会员，利用这个skill做了100个seedance视频，大概知道各种各样调节得到什么效果，然后优化好skill。 最后，开源的这个Seedance2-Storyboard-Generator skill 应该是普普通通，但是还是能够把视频做出来，表达出来，不需要懂视频制作，人人都可以搞视频短片，短剧，讲故事，视频表达。 同时，自己想要什么效果，让ai修改二开就是了。 skill开源地址： github.com GitHub - liangdabiao/Seedance2-Storyboard-Generator: 一句话：试错成本越来越高，提示词的重要性从来没有像今天这样大。Seedance 2.0... 一句话：试错成本越来越高，提示词的重要性从来没有像今天这样大。Seedance 2.0 Storyboard Generator 开源剧情剧本Skill工具，帮佬友一键写好剧本 - 将小说/故事转化为多集视频。 为什么做这个？ 因为 seedance2 已经改变了一切，需要新的剧本剧情制作工具，更好的利用新AI的能力和更方便的制作短剧 1 个帖子 - 1 位参与者 阅读完整话题
Meta An Update on Meta Quest Pricing Starting April 19, 2026, we’ll be increasing the prices for our Meta Quest 3 and Meta Quest 3S headsets. Est. reading time: 2 minutes 新价格 Meta Quest 3S (128 GB): $349.99 Meta Quest 3S (256 GB): $449.99 Meta Quest 3 (512 GB): $599.99 Meta blames RAM shortage for $100 Quest 3 price hike | The Verge 4 个帖子 - 4 位参与者 阅读完整话题
I started EDDI in 2006 as a rule-based dialog engine. Back then it was pattern matching and state machines. When LLMs showed up, the interesting question wasn't "how do I call GPT" but "how do I keep control over what the AI does in production?" My answer was: agent logic belongs in JSON configs, not code. You describe what an agent should do, which LLM to use, what tools it can call, how it should behave. The engine reads that config and runs it. No dynamic code execution, ever. The LLM cannot run arbitrary code by design. The engine is strict so the AI can be creative. v6 is the version where this actually became practical. You can have groups of agents debating a topic in five different orchestration styles (round table, peer review, devil's advocate...). Each agent can use a different model. A cascading system tries cheap models first and only escalates to expensive ones when confidence is low. It also implements MCP as both server and client, so you can control EDDI from Claude Desktop or Cursor. And Google's A2A protocol for agents discovering each other across platforms. The whole thing runs in Java 25 on Quarkus, ships as a single Docker image, and installs with one command. Open source since 2017, Apache 2.0. Would love to hear thoughts on the architecture and feature set. And if you have ideas for what's missing or what you'd want from a system like this, I'm all ears. Always looking for good input on the roadmap. Comments URL: https://news.ycombinator.com/item?id=47793245 Points: 2 # Comments: 0
Claude Code sessions that read a real CLAUDE.md take 30-60 seconds to initialize. Fine once. Friction when you're switching contexts constantly. llm-primer keeps a pool of warm sessions in the background. When you need one, it's already past the startup protocol. Happy to answer questions. The main motivation was that I'm running LLM wikis (llm-context-base) and switching context between different agent roles constantly. The startup latency was killing the flow. Comments URL: https://news.ycombinator.com/item?id=47778707 Points: 1 # Comments: 1
想提前了解这个步骤， 这个应该是电脑弹出来的对吧？正常来说 点了start之后呢？是让你上传身份照片吧？ 那么手机摄像头验证具体是如何验证呢？复制链接或者什么？ 假设我使用电脑，然后弹出，需要手机摄像头认证，能不能发给身份的人，让他去过验证呢？这里会不会有我和他IP，手机定位不一致的问题？ 如果全部交给身份持有者操作，他需要登录Claude账号吗？ 1 个帖子 - 1 位参与者 阅读完整话题
每次 codex 启动的时候都等很久，然后报错： ⚠ MCP client for codex_apps failed to start: MCP startup failed: handshaking with MCP server failed: Send message error Transport [rmcp::transport::worker::WorkerT ransport<rmcp::transport::streamable_http_client::StreamableHttpClientWorker<codex_rmcp_client::rmcp_client::StreamableHttpResponseClient>>] error: Client error: e rror sending request for url (https://chatgpt.com/backend-api/wham/apps), when send initialize request ⚠ MCP startup incomplete (failed: codex_apps) 不知道有没有佬友知道如何解决 3 个帖子 - 2 位参与者 阅读完整话题
亚马逊和 Globalstar 发表新闻稿，宣布达成了收购协议，扩大亚马逊的 Leo 宽带卫星网络。苹果持有 Globalstar 五分之一的股份，作为收购协议的一部分，苹果与亚马逊达成协议，Amazon Leo 将为 iPhone 和 Apple Watch 提供卫星服务，包括通过卫星提供紧急 SOS 求救服务。
场景：做室内定位，需要使用微信小程序的api 扫描附近的beacon rssi信号 api: wx.startBeaconDiscovery 参数：uuids Array 必填 Beacon 设备广播的 UUID 列表 疑问：我是想要搜索附近的beacon信号 为啥这个参数是必填的，我都还没搜索到，怎么知道有哪些uuid？有点反直觉。 没办法 只能传入全量的uuid 但是看到资料说 又不能一次性传入太多？那到底该如何传？ 看到有的说法是这个uuids类似一个白名单的意思。微信官方文档及问答 看了一圈 没看到有用的回答。 有没有做过同样业务的佬 传授下经验。 2 个帖子 - 2 位参与者 阅读完整话题
IT之家 4 月 15 日消息，这次 Rockstar Games（R 星）的泄密事件，似乎并未达到黑客的预期。黑客曾为窃取的数据索要 20 万美元赎金，在无人支付后便将数据免费公开，而这些数据恰恰暴露了 R 星及其母公司 Take-Two Interactive 从《侠盗猎车手》《荒野大镖客》等系列 IP 中赚取了何等巨额利润。 就在泄露数据公开后的第二天，R 星母公司 Take-Two Interactive 的市值反而进一步上涨。 IT之家注意到，当地时间周二开盘时，Take-Two 市值为 380.3 亿美元，股价约为每股 202.26 美元。截至美国东部时间上午 11:45，股价上涨 2.63%，达到每股 206.66 美元，这一波上涨让公司总市值增加了约 10 亿美元。收盘时，Take-Two 股价为每股 205.10 美元，上涨 1.86%。 目前，相比其 52 周高点 264.79 美元，Take-Two 股价仍下跌近 25%。但在当前不稳定的经济环境下，投资者看到原本无法获知的内部信息后，股价反而走高，这无疑让他们信心大增。此外，当前股价也比今年 2 月公司发布最新财报时创下的 52 周低点 187.63 美元高出近 20 美元。
We started GizmoSauce ( https://www.gizmosauce.com ) about 1,5 months ago as a side project. We're building embeddable website widgets for businesses and agencies. The main thing we care about is that most widgets make sites slower, uglier, or harder to maintain, so we've been trying to build ones that are: - easy to install - fast / lazy-loaded - zero-layout-shift - easier to style so they feel native to the site - AI functionality helps a lot We’ve done zero ads so far. Mostly just shipping and helping organic clients, pushing changes to production, and trying to make the product better every day, and passing integration validations like for Instagram sync. What’s already become obvious is that building the product is way easier than figuring out how to get customers. One thing we're starting to realize is that we probably shouldn't position GizmoSauce as just "widgets." We wanted to create more commercial integrations with larger clients. I mean, different widgets make sense for different client types: - Reviews / chat / hours feel like a better fit for smaller businesses - The new widget we build now - Store Locator feels more relevant for multi-location businesses, retail, franchises, and the agencies that work with them So the GTM idea I keep coming back to is: - Find a brand with an obvious UX gap - build a working demo showing how one widget could improve it - send it to their digital / marketing team For example, we made this Little Caesars demo: https://demo.gizmosauce.com/demos/little-caesars/ Compared to their current store search: https://order.littlecaesars.com/en-us/order/pickup/stores/se... They don't currently have a map flow there, so we mocked up what that experience could look like with a Store Locator. Main thing I'd love feedback on: If you were us, would it be ok, or too strange to go this way? Should we start by selling to agencies, or go directly after multi-location brands and not care that nobody knows us? And does the "build a custom demo for a real brand" approach sound smart for early traction, or too manual? Comments URL: https://news.ycombinator.com/item?id=47772268 Points: 1 # Comments: 0
Article URL: https://github.com/oguzbilgic/posse Comments URL: https://news.ycombinator.com/item?id=47771623 Points: 1 # Comments: 0
Inspired by karpathy's US job market visualizer[0], I started to dabble with the idea of building live dashboards for certain job markets, starting with quant finance. I extract the career pages of pretty much every major quant firm and classify each posting with a lightweight LLM ETL pipeline. The data is updated daily and the full dataset is available as SQLite for anyone who wants to do their own analysis. [0] https://karpathy.ai/jobs/ Comments URL: https://news.ycombinator.com/item?id=47770792 Points: 1 # Comments: 0
I started working on this project while doing R&D on how to run an LLM on a device efficiently. Built this for me and have been using it since January. It's helping me, and I think it'll be helpful for others, too. I'd appreciate any feedback Public beta: https://testflight.apple.com/join/Aj9xnfQu Github repo: https://github.com/moeen-mahmud/remen Comments URL: https://news.ycombinator.com/item?id=47769431 Points: 1 # Comments: 0