生产力3 weeks ago
Promptigo — Find AI prompts that actually work
浏览、自定义和复制用于编码、营销、写作的AI提示词。
@Mutuota1Kelvin · X
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浏览、自定义和复制用于编码、营销、写作的AI提示词。
@Mutuota1Kelvin · X
将 OpenAPI 规范和数据库转换为 MCP 工具，无需编码。
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers
协调多个 AI 编码代理在共享代码上工作，无冲突无需登录。
u/KangarooPitiful594 · Reddit
I built Aethereum: a team coordinator for AI coding agents (free beta) the simple version: if your team codes with AI agents, aethereum keeps them coordinated so you ship faster. everyone runs whatever agent they like (claude code, cursor, codex, cline, zed) and they all join one room. agents see what each other is building, get warned before breaking each other's changes, and can share code between machines end to end encrypted. when two agents want different API shapes they negotiate it b
通过AI辅导、闪卡和测验学习代码技能，基于记忆科学设计。
@mkappworks · X
I am building lets connect
Free tool to transform your source code into stunning, high-resolution HD images. Customize themes, backgrounds, and export perfect code screenshots for Twitter/X, blogs, and docs.
@ricka_dev · X
Building Syntax Code 🚀 A free tool to turn raw source code into high-res, beautiful images for X, blogs, and docs.
Learn system design by simulating real-world behavior. Visualize latency, load, failures, and system flow interactively.
@Fahadh_4444 · X
This is FIGMA FOR SYSTEM DESIGNS
从手机排队编程任务、审查代码变更并控制VS Code和Cursor。
@WilliamQubits · X
vibe coded a feature from my phone on a walk. Cursor picked it up at home before I even sat down. no desk required 🛠️ #ChatView
用并行AI智能体构建全栈应用的开发平台
@Ajathinfotech · X
How do Ajath's parallel agents actually build full-stack apps in mins? Let you work with up to 10 specialized AI agents in parallel to eliminate traditional development bottlenecks. Try Ajath for free: #VibeCoding #NoCode #AIAgents
AI代码审查工具,在microVMs中运行代码以捕获更多错误。
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