Developer Tools1 month ago · 1 tries
Targe — LLM security scanning & audit reports
Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams
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Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams
Verify AI responses in real-time by auditing with multiple models for reliability.
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
Connect a GitHub repo to automatically detect user flows, visualize code structure, and identify where users get stuck.
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
AI-powered code review that runs code in microVMs to catch more bugs.
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
Free security checklist with copy-paste audit prompts for AI-built apps.
@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
Analyze websites for vibe-coding patterns and security headers without signing in.
u/RockettBits · Reddit
I built a tool that tells you why a website “looks vibe coded” and how to improve it. Some of us use vibe coding because it’s insanely fast, and honestly, a lot of the results are pretty good. But there’s also this weird thing where you open a website and can almost instantly tell it was vibe coded. Same cards, same rounded corners, same gradients, same spacing, same component-library feel. People usually just call it “AI slop,” but I wanted to understand what actually creates that feeling.
Inspect RAG chunks and visualize AI agent workflows, memory architecture, and execution traces.
@Higgs0110 · X
Secure AI agent actions with code checks, permission gates, and approval workflows.
@RElharrak39428 · X
Audit AI-built applications for security vulnerabilities and receive proof of findings.
u/mrtrly · Reddit
I asked ChatGPT 20 different ways who could fix a half-built app. It never named my company once. I do codebase rescue for founders in exactly that spot, so that one stung. There are already plenty of tools that measure this kind of AI visibility, a CDN even ships one free, so I built mine mostly to see my own number, and it confirmed the bad news: near zero. The measuring turned out to be the easy part. What none of the tools do, and what I actually care about, is the fix: getting the mode