
Mirrors - Test AI Agents Against a Mirror of Production
Test AI agents against replayed production traces to reproduce bugs and catch regressions.
aisinghal
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21 projects

Test AI agents against replayed production traces to reproduce bugs and catch regressions.
aisinghal

Generate test cases and scripts automatically from requirements.
@SEOexpertpkk · X
AI-Driven Test Automation Platform

Convert CVE data into machine-readable risk signals for AI agents and automation.
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.

Free platform for testing, monitoring, and analyzing APIs with real-time insights.
@SajidAbuba74138 · X
A tool for developers

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

Audit your content's performance for AI-powered search engines.
@BayofDomain · X

Resume checker and AI career test that scores your job security from 0-100.
@_b_meet · X

Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents

Paste a public GitHub repo and get an honest A–F security grade in seconds.
u/DistinctPicture4660 · Reddit
I built a security scanner that checks every GitHub push and tells AI exactly how to fix the issues Hello, As a developer, I ship a lot of code with Claude Code, and I've used pretty much every security scanner out there. Most of them are great at telling you what's wrong. Then they leave you with a long report, and you're back to copying logs into Claude or Cursor, asking your AI to figure out how to fix everything. I wanted something that fit the way many of us build software today.

Platform for security teams to create and deliver penetration test reports faster with reusable findings and client portals.
@TurvSec · X

Backend infrastructure that keeps AI agents alive with durable execution and state management.
iacguy · HN
Show HN: Durable AI agents without the workflow engine

Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter