Other1 month ago
Bug reports that fix themselves
Add a bug report widget in 30 seconds. It captures errors, user journeys and failed API calls — then AI analyzes your code and opens a pull request with the fix.
@syedarhamalii · X
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Add a bug report widget in 30 seconds. It captures errors, user journeys and failed API calls — then AI analyzes your code and opens a pull request with the fix.
@syedarhamalii · X
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-powered code review tool that executes code in microVMs to detect 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
Auto-fix production bugs and get AI code reviews with severity ratings on every PR.
@akshay_nocode · X
Not exactly — Sentry captures errors, BugOps acts on them. It reads the Sentry alert, checks recent commits, traces root cause, and opens a fix PR. Think Sentry as the sensor, BugOps as the on-call engineer that never sleeps.
PixelPush.in compares your design against your live site, pixel by pixel — then tells you which differences are bugs and which are just noise.
@j3rah_ · X
Built — a pixel-diff visual QA tool for devs and agencies shipping client sites. Compares your design mockups to your live site and gives you an AI verdict on what's off, so you catch visual drift before your clients do.
Analyzes UI screenshots and provides design audits for AI agents.
u/albanianspy · Reddit
the boring internal tool became the product we didn’t start with a saas idea. we were just annoyed that every agent-built UI looked weirdly related. so we made an internal finish gate: real screen references, a design contract, browser checks, and a ban list for generic AI defaults. one developer kept asking why it wasn’t public. eventually we stopped having a good answer. now UIZZE has a few paid users. builder disclosure: it’s mine, $9/mo or $99 lifetime: https://uizze.com current
Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams
Platform for security teams to create and deliver penetration test reports faster with reusable findings and client portals.
@TurvSec · X
Explore world events through a visual, source-aware news map.
@brryg_ · X
sure man, working on a social and visual news hub called heuron - lmk what you think!
Farm Management System
@Techretainer · X
manage your poultry farm, manage your water company and manage your hotel.
Build AI image analysis workflows for labs without writing code.
mfisc_019 · HN
Countify – Collaborative No-code computer vision for labs
Debug and monitor AI agents with real-time visualization and performance analytics.
@simranrambles