Developer Tools1 month ago
Mirrors - Test AI Agents Against a Mirror of Production
Test AI agents against production mirrors using replayed traces to find bugs and regressions.
aisinghal
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Test AI agents against production mirrors using replayed traces to find bugs and regressions.
aisinghal
Identify insects and bugs by uploading photos for instant AI analysis.
@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
AI tool that discovers hidden bugs in your application using verification analysis.
@uriel_bitton · X
As you add more features to your vibe coded app, you increase the chances for bad behaviour. The worst part is you dont know they exist Every beta user i've had try out the app told me they found a few issues they had no idea existed Find yours using
AI security scanner testing live websites to find vulnerabilities and generate fix prompts.
@wraithnet0x · X
Hey developers! I just launched my agentic security scanner. This is not your basic code review that could be replaced by claude code or anything like that. It tests the live application and hand you the fix so you can secure it in time. Website: Demo⬇️
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
Collect bug reports with full device context, plus feature requests, from inside your app. Publish release notes in the same place. Built for indie Expo and React Native developers
@henrypl_dev · X
Point your GitHub repo at this AI scanner to find exploitable vulnerabilities and get fixes.
u/Delicious-Action-351 · Reddit
I failed 4 times and still made an app to make your code more secure. I made an webapp to make your vibecoded app secure. Today, SaaS entrepreneurs ship fast and don’t check for security, at the end they get hacked and it’ll cost them a lot of money. I decided to solve this issue. Netherite is an AI Security Specialist, you connect Github and choose repo to run security scan. It scans your whole repo in minutes and hands you the professional report and fix prompt for your ai agent. You ca
AI-powered tool that helps engineering teams understand, navigate, and modernize legacy codebases.
@ffteema · X
Find beginner-friendly open source issues on GitHub and track your contributions.
@anni_i02 · X
Publish tasks to evaluate and benchmark different AI agents and tools on a leaderboard.
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
One script tag puts a review layer inside your running app. Your team clicks what is wrong; your developers get the source file and line, the route, and a repro that exports as a P
@_Zidl · X
Runs real exploits against your web apps, APIs, and AI features with proof of each finding.
@yedil_bek · X
Building RedRun - security testing that proves what it finds. Runs the real exploit + hands you the exact request/response: SQLi, IDOR, SSRF, XSS, JWT + AI prompt-injection. Zero false positives. Free scan → Active engine invite-only - DM for access code