开发者工具1 month ago
AI Agent Drift Auditor — diff two agent versions, get a governance verdict — Age
粘贴两个 AI agent 版本，对比治理权限的变化。
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stoicstoic · HN
Show HN: Diff two versions of an AI agent and catch silent permission changes
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粘贴两个 AI agent 版本，对比治理权限的变化。
stoicstoic · HN
Show HN: Diff two versions of an AI agent and catch silent permission changes
假扮成 AI 与真实 AI 竞争工作的有趣游戏。
bossissb · V2EX
大家都在分享自己做的工具，我也分享一个摸鱼的 地址 https://humanapp.app/ 或者 https://www.humanapp.app/ 抄的国外的网站 求兄弟们给点意见，我即时修正，听劝
上传手写考试答卷，获得即时AI评分和详细反馈。
Xaminix
AI Powered Answer Evaluation for CA/CS/CMA
与 AI 教练一起练习编程面试和系统设计
@preproomai · X
🟢Get ready for #vibecoding and AI #codereview. It is cutting-age & you can't miss: Time to ditch old-school @LeetCode ! #SoftwareEngineering #TechInterviews #CodingSkills #TechCareers #PrepRoom #TechCareers #SystemDesign #ITJobs #CareerGrowth
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
与 AI 招聘官练习面试，获得实时反馈。
BenGallagh · HN
AI mock interview tool that scores your answers – free, no signup
通过AI驱动的模拟和专家反馈练习系统设计面试。
@ShashankCode · X
Checkout here :
Spendict – 为AI生成的广告创意评分，返回投放/修改/停止建议。
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP
五位历史人物为您的人生难题辩论，由马可·奥勒留给出最终裁决。
u/Rcoo232 · Reddit
I built a council of 5 historical figures that debates your hardest life decision (based on Karpathy's LLM Council) A few weeks ago, I came across Karpathy's "LLM Council" concept. You ask multiple Agents the same question independently, have them anonymously peer-review each other, then synthesise a final answer. The peer-review round is the genius part; models get surprisingly honest when critiquing anonymised responses. I turned it into a consumer product where the council members are hi
在交互式仪表板上构建AI代理并实时观看其执行过程
@Aurelsuuu · X
this is my product, come take a look:
CoBro 用 AI 扫描竞争对手和市场数据，90 秒内判断初创企业创意是否值得构建。
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
