
ARGUS — Forensic Observability for AI Agent Pipelines
Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents
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18 projects

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

Reviews AI-generated code to detect architectural drift and quality issues.
@Sakthi_in · X
- Ship AI written code confidently. Catch drift before it compounds.

Solve daily coding challenges with AI assistance and track your developer streak.
u/Administrative_Egg78 · Reddit
I built this because AI was making me a dumb&lazy engineer I noticed something sad about how I use AI. I was shipping faster, but practicing less. I could get answers quickly, but I was losing the habit of working through the fundamentals myself. So I built Unrot: short daily challenges for developers across languages, system design, architecture, data engineering, and other tracks. Game/xp and rewards system, a tiny bit competitive. No signup required to try it: https://unrot.dev

Secure AI agent actions with code checks, permission gates, and approval workflows.
@RElharrak39428 · X

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

Jira plugin connecting test cases, requirements, and execution with traceability.
@pakosteve · X
Improve your SaaS quality when scaling (by register requirements and test via MCP)