开发者工具1 month ago
Wovyr — Policy and an audit trail for AI-generated interfaces
为AI生成的用户界面提供策略管理和审计跟踪。
Open source
@Wovyr · X
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61 projects
为AI生成的用户界面提供策略管理和审计跟踪。
@Wovyr · X
为 AI 代理定义授权规则，在执行操作前进行检查。
ahmed89 · HN
Keydris - Check what an agent is allowed to do before it runs
在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •
设定目标和标准，由AI小组评估，裁判用引用来源做出判决。
nadermx · HN
Referee.Chat - Set the goal. An AI panel works. Referee clears it done
用AI代理Vibe编码的游戏
@RanMarim4s · X
Vibe coding an entire game with AI agents sounds wild. Time to go test it out on 💎
One bundle. Three independent judges. Reproducible rankings.
@Imranmohsin18 · X
sites I’m working on: Please check out and give me feedback all are public showcasing my skills :D ( not selling anything atm )
Riposte 是生成辩论回复、分析论证的AI工具包，提供七种专业模式。
@recurno · X
Just shipped Riposte. Paste a Reddit dunk aimed at you → get 4 reply angles that take your side. Sharp. Logical. Aggressive. Socratic. Or spar the AI in Arena first. #debate #buildinpublic
审计您的品牌在ChatGPT、Gemini等AI中的可见性的平台。
@n1no_h · X
- It tells you why chatgpt, gemini or other chatbots cant see your brand and what to do about it!
通过种植路径和掷骰子来创作语言字段。
@whatinthefkinfk · X
just a link, minimal startup needed
用AI创作关于其他AI系统幽默评论的游戏Claude Code Buster
ferb900 · HN
Use AI to make fun of other AI
用 AI 为 Unity、Godot 和 Unreal 生成生产就绪代码和游戏设计文档。
@TopvonA · X
pondas - 用游戏方式指挥AI代理团队编写和部署软件
u/East_Operation1151 · Reddit
I built pondas: run a team of AI agents like a game to build an app I've been building this for a while and finally want to show it here. Most AI app builders are one model in a black box. You type a prompt, it guesses, and you hope what comes out works. I wanted the opposite: real control over how the AI builds. So in pondas you run a whole team of AI agents, and you control the loop they work in. What it actually does: - You describe an app in plain words and a team goes