
Vibe and Go | Catch Bugs Before Your Users Do
在几分钟内跨设备和浏览器测试应用程序,自动捕获错误。
@vibe_and_go · X
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在几分钟内跨设备和浏览器测试应用程序,自动捕获错误。
@vibe_and_go · X

上传照片,用AI快速识别昆虫。
@buildwithahsan · X
Just launched an AI Bug Identifier 🐞 Upload a photo and identify bugs and insects instantly using AI. Building in public and learning every day 🚀 🌐 #AI #BuildInPublic #WebDevelopment

Decloak 扫描网址的安全漏洞、JS CVE、隐藏追踪器和配置问题。
@oldagencydev · X
Is this still an open offer?😂I'm launching and trying to get it out there. Free no-signup security scans of any URL to catch everything including vibe-coded app issues. Then paid plans for everything up to enterprise! Already using at my other company!

由AI驱动的代码审查工具,在microVM中运行代码来捕获更多错误。
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

Auto-fix production bugs,获得 AI code reviews,每个 PR 都有严重级别评分
@akshay_nocode · X
Not exactly — Sentry captures errors, BugOps acts on them. It reads the Sentry alert, checks recent commits, traces root cause, and opens a fix PR. Think Sentry as the sensor, BugOps as the on-call engineer that never sleeps.


ARGUS:为AI代理流程的可观测性平台,检测故障并解释根本原因。
@VaraadDurgaay · X
Solving the prb of observability in ai agents

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

监控 AI 工具的状态和元数据问题信号
dobby_lee · HN
Open-Source for AI tool status checker

检测LLM API是否被降智或偷换模型,一键跑6项探针得出结果
cocodot LLM 降智检测 — 免费的 LLM API「降智/偷换模型」在线检测:填入任意 OpenAI 兼容端点的 base_url 和临时 API Key,跑 6 项探针(模型声明、动态题、能力完整性等)生成分项报告;Key 仅用于当次检测、不落库不留存,检测方法[开源](https://github.com/cocodot2026/cocodot-llmprobe)

发布任务来评估不同的AI代理和工具,用排行榜找出最佳方案。
u/Ruqii-ruqii · Reddit
I built an open Eval to compare different AI agents/tools/pipelines and find which solution works the best (not very pretty╥﹏╥, but practical) The original reason I built it was because I wanted to find a good PDF parser. Every PDF parser claims to be the best, but none of them can get my PDF 100% correct. They would either miss numbers or hallucinate some. Or they get PDF A and B correct but failed at C. Or get C correct but failed at A and B. Very frustrating. So I create
The most intuitive project management platform for modern teams. Track builds, manage tasks, and collaborate seamlessly.
@MeetMuaz · X