AI 智能体2 days ago
Forge, Autonomous AI Coding Agent
从文本提示自动生成、构建和部署完整项目的AI代理。
@liquidated0x · X
building an AI coding agent that ships full projects from a prompt — if you're if you're curious
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从文本提示自动生成、构建和部署完整项目的AI代理。
@liquidated0x · X
building an AI coding agent that ships full projects from a prompt — if you're if you're curious
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
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
用于构建网站、编写代码和处理复杂任务的 Agentic AI 助手。
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0
为代码智能体工作流管理 API 密钥和使用预算。
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to
Ultra-specialized secure AI agents to propel your revenues.
@TharejaRushil · 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
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:
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.
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