
StackMind — Second Brain for Developers
为开发者设计的笔记应用,支持代码块、看板管理和GitHub导入。
@SinghApurv1711 · X
Hey! Check it out here:
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为开发者设计的笔记应用,支持代码块、看板管理和GitHub导入。
@SinghApurv1711 · X
Hey! Check it out here:

查看和读取 Akash Network 去中心化计算网络中的节点数据。
@ConnorBuil9kpt · X
Node Readout For Akash Network

在浏览器中运行的私密AI助手,支持语音和文本。
stfurkan · HN
Show HN: I wrote a 1-bit WebGPU runtime to run a 1.7B LLM in the browser

用英文描述想法,QuikRun自动生成代码并提供实时URL。
nparashar150 · HN
Over the weekends, I've been revamping an old side project of mine: https://quik.run/?ref=yc It started as a simple platform for writing and sharing code snippets. Over time, it evolved into a way to run snippets instantly with support for imports and packages, without worrying about setup, deployment, or infrastructure. Think of it as a lightweight AWS Lambda for quick experiments. One thing I've realized is that even though AI has made a lot of older developer tools and ideas feel less relevan

由AI驱动的代码审查工具,在microVM中运行代码来捕获更多错误。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

为AI代理提供持久记忆和知识,支持文件、URL和MCP工具原生集成。
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.

免费的 API 测试、监控和分析平台,提供实时洞察。
@SajidAbuba74138 · X
A tool for developers


浏览热门公司使用的技术栈并分享你自己的。
mythz · HN
TechStacks – Popular Tech news summarized, including comments

一个提供认证、存储和LLM集成的Backend平台,无需服务器或配置。
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps

通过AI驱动的模拟面试场景练习系统设计、DSA和编程面试。
@ShivanshAg50455 · X

用可视化编辑器设计、测试和发布AI就绪的API。
@milonspace · X
A specification nobody can find is functionally the same as no specification.