@akoaltos · X

Autumn-27 · GitHub

ARTEX AI 自主渗透测试系统

@aryaan_sheth · X

- LLM security for small teams

@kingadetunji_ · X

I built using Claude Code, but life got busy, and I eventually abandoned it. I opened it again recently and discovered that 45 real engineers had signed up to try it. Now I’m seriously thinking about picking it back up and building it into an actual product. Founders and builders on my TL, is this enough early traction to justify committing more time and resources to it?

@NodeESP · X

- Project for sale

@CooksonRetail · X

👋 we are working on

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/CapitalPotato8230 · Reddit

I got tired of losing warranty claims because of faded receipts, so I built Warranty Tracker A few months ago, I had an expensive gadget fail just after I bought it. I knew it was still under warranty, but finding the receipt turned into a nightmare. The thermal paper had faded, I couldn't remember the exact purchase date, and I wasted more time searching than the repair was worth. That experience made me realize how scattered all of this information is. Receipts are in emails, PDFs, Wh

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

@DanzusJohno · X

@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/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