
Bug tracking on a kanban board - BugBoard
Capture bugs with code and triage them on a real-time kanban board.
@s_b_1805 · X
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Capture bugs with code and triage them on a real-time kanban board.
@s_b_1805 · X

Add a widget to your app that auto-captures screenshots, console logs, and network errors when users report bugs.
@markoradotme · X

Professional WordPress bug fixing, 24/7 monitoring, cloud backups, and encrypted credential storage. Request a fix or choose a maintenance plan.
@BugShieldWP · X
🚀 Helping businesses keep their WordPress websites secure, maintained and running smoothly. Feedback is always welcome!

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

BugDetectAI helps developers analyze, understand, and fix code bugs faster using AI.
laxmansubedi · HN
BugDetect AI – AI-powered code debugging assistant

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

Test your app across devices and browsers to catch bugs automatically in minutes.
@vibe_and_go · X

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.

Two AI reviewers analyze your code independently and verify each other's bug findings.
@BotariaDotBot · X
This Tuesday I'm launching Botbugger on @ProductHunt 🚀 One AI reviewer gives you 10 "critical" bugs — half hallucinated. So I built two: Claude Code + Codex review your code independently, then cross-check each other. Real bugs with fixes, not noise.

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

Visualize trends in CVE counts and severity since 2020, broken down by reporting organizations.
u/Secret_Appeal6271 · Reddit
Agents are more capable, and susceptible to exploits, than ever. We're working to stop this from hurting users. AI agents are starting to get real access like GitHub tokens, cloud credentials, customer data, deploy permissions. Not coincidentally, the rate of major cybersecurity incidents is rising rapidly. See for yourself: https://epoch.ai/data/cve?view=graph https://genai.owasp.org/resource/state-of-agentic-ai-security-and-governance/ My friend and I, both AI researchers, are working o
AI-powered workout log and macro tracker for bulkers with photo recognition and growth audits.
thomaslai414 · Product Hunt
Nulls Tracker - AI Bulking & Macro Log Minimalist AI macro & workout log built for bulkers