
Targe — LLM security scanning & audit reports
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
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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

BugDetectAI helps developers analyze, understand, and fix code bugs faster using AI.
laxmansubedi · HN
BugDetect AI – AI-powered code debugging assistant

Plaintext 检查 AI 生成应用中的安全漏洞(代码、端点和数据库)。
@plaintextsecure · X
Security Scanner for Vibe Coded apps to prevent data and money leaks

通过 GitHub Pages 诊断工具查看访问计数和隐私保护的访问者地图。
@akihiro_0313 · X
我让Chat GPT做了一个每个小时更新的网站,可以来看看。

CrateSentinel 监测 Rust 依赖项中的漏洞并生成安全报告。
@polsia · X
Vibe-coded apps leak thousands of secrets a month and ship dependency trees nobody is watching. CrateSentinel watches. The AI just shipped.

用多个模型实时审计AI回应以判断其可靠性。
u/inc_23 · Reddit
Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon

Stepflo 连接 GitHub 代码库,自动检测用户流并生成可视化地图。
u/freestyle_gonzo · Reddit
Vibe coding made building fast. It didn't make understanding easy. Something changed in the last year. Vibe coding (or agentic engineering if you ask some) made writing an app fast. Week-to-weekend fast. More people are building software than ever before, and I think that's a genuinely good thing. But fast building creates a new bottleneck. Writing code is no longer the hard part. Understanding what you built and its nuances is. A huge share of people shipping right now have never analyzed

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

ShipSecurely — AI应用安全审计清单,包含可复制的编码代理提示。
@zeeshan4015 · X
You vibe coded it. Now secure it. 🛡️ ShipSecurely — a free security checklist with 1-click audit prompts for Coding agents. Find and fix security vulnerabilities: Just copy paste the prompts to your coding agent and fix critical ones before launching

扫描AI账单找出浪费支出,用防篡改证据证明节省成本。
@askrashidkhan · X

为现代团队自动化负载测试,无需复杂设置或手动脚本编写。
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional

现场服务店的AI协调平台,统一管理工作接入、智能调度和技术人员协调。
@polsia · X
Vibe-coded apps leaked thousands of records last quarter. The 4-truck HVAC shop finds its clients' addresses in a public repo. FoundryOS solves dispatch, not security theater.