AI 智能体1 week ago · 1 次试用
Perch AI: Verifiable AI for legal, finance, research, and coding
Perch AI 是为法律、财务、研究和编码工作的 AI 助手，显示所有来源。
@Laharmckenzie · X
完整作品展
技术栈
60 projects
Perch AI 是为法律、财务、研究和编码工作的 AI 助手，显示所有来源。
@Laharmckenzie · X
AI驱动的Magicly平台，提供直观的Vibe编程开发体验。
@isuryatk · X
- World's most reliable vibe coding platform
在推理时为 AI 代理注入工程化认知能力。
@frank_brsrk · X
reasoning tools for ai agents
快速生成美观的二维码，支持自定义颜色、渐变和商标。
@TheSarimQureshi · X
在浏览器中编写和运行代码，具有 AI 代码生成和自动修复功能。
@anish2good · X
由Codex和Grok驱动的AI笔记应用。
@Number1AIFanboy · X
I got to go to bed. More coding tomorrow. I just had a realization that I'm building cool shit, using @grok in an app that I built with Codex and refined with Grok. And now Grok just works on himself. LFG🚀 Drop me a note here: Get the app here (use LAUNCH50):
Surmado 自动代码审查工具，按照团队规范检查 GitHub PR。
u/surmado_rachel · Reddit
We built a cheaper code review tool for small teams We've been working on a code review tool for small teams, solo founders, and vibe coders who want a second set of eyes on every PR without paying Claude-level prices. The idea is simple: Surmado's Scout reviews your PRs against your own standards, not random generic lint rules. You add a STANDARDS.MD file, and on every push Scout gives you: What looks good/What needs work/A short reviewer brief so a human knows where to focus/Feedback
在Bind AI中使用Claude、GPT和Gemini编写和运行代码，然后部署到Vercel。
@bind_ai · X
We got tired of juggling model subscriptions and editors, so we built Bind AI One tab: Claude, GPT, Gemini, an IDE that runs the code and ships it to Vercel Heads down on the shortest path from idea to application #vibecoding
为 AI 代理构建数据库、看板和笔记以进行协作。
@emir_ogz · X
Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly
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...
通过调整 HSB 滑块来猜测匹配动漫颜色的在线游戏。
ToonTone — 在线动漫猜颜色小游戏
根据硬件规格发现本地可运行的AI模型，包括性能和价格估算。
cdnsteve · HN
Tokenstead, find AI models for your hardware