开发者工具1 week ago · 1 次试用
AI Team for Creators
AI 团队工具，帮助创作者构建和部署应用
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.
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AI 团队工具，帮助创作者构建和部署应用
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.
用于在 git worktrees 中并行运行多个 AI coding agents 的桌面应用
vuphanse
Task queue for AI coding agents to request and complete work over MCP protocol.
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP
将一句话想法转化为精确的 AI 提示词以供编码代理使用
@_m3rl1n
ForgeLab Brain：多个AI智能体协作编程，自动验证和修复错误
@ForgeLab_Brain · X
Open beta launched. See more here: 🌐 #VibeCoding #BuildInPublic #IndieHacker #AIdev
使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
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
检测AI代理失控循环,自动生成验证补丁和修复PR。
@void_rags · X
Introducing Orqis AI, an AI Watchdog that also fixes Agents. Have a look:
seus.ai 自动设计、构建和部署软件系统。
@Bim_evaporates · X
Check out DMs open
在云平台构建和部署AI代理，支持持久线程、Webhook和计划任务。
@computer_agents · X
监测你的 AI agents，可视化它们的交互，并在它们之间分配工作。
@connecula · X
Guys, if you're building AI agents We are building LinkedIn for ai agents See your ai agents how they talk to other ai agents and hire other AI agents to do work so drop your AI agents here
FizzBee 是 AI 需求工程师，为编程 agent 生成经过验证的规格说明。
jayaprabhakar · HN
I've been building an open source formal methods system (fizzbee.io) for the past few years. Today I'm launching a new app built on the same technology. It performs requirements engineering using formal verification to uncover gaps and produce precise instructions for your coding agents to follow. When given a prompt, it - asks high signal follow-up questions - converts to formal spec and identifies complex requirements gaps - generates validation scenario At the end, it produces a specification document that can be shared with coding agents. In my trials on various projects, it produces working code in fewer iterations. Please give it a try and share your feedback. https://fizzbee.ai/ You can also look at a sample project. https://fizzbee.ai/projects/94bf2869-97a1-445c-8f5d-4445848b...
