@keshav__dev · X

Hi priyanka i am also building in customer feedback space but with some dev related features. Maybe you want to check

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

@cleanmycsv_app · X

hi alisha, just shipped to fix corrupted utf-8, missing zeros and bad formatting before importing to crms. building in public now 🚀 let’s connect!

@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⬇️

dobby_lee · HN

Open-Source for AI tool status checker

@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

u/uwais_ish · Reddit

Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th

@ardayesilgul · X

u/jjd921 · Reddit

Production readiness checker With AI coding and the low barrier to entry now I see a ton of people publishing apps with serious issues. I tried to build something to help with this. It’s a tool that checks apps for production-readiness issues (security, functionality, reliability, accessibility, etc.) and creates a GitHub PR with the fixes. Automatic scans on every push/PR and deterministic auto-fixes are completely free. Do you see something like this being useful?: https://theslopstopper.c

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

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

@SidraMumtaz25 · X

AutoRedTeam is an AI-powered security platform that automatically red-teams AI chatbots for vulnerabilities like prompt injection, jailbreaks, and data leaks. Built for AI teams to find and fix security issues before attackers do.