Računalničar, Sebastijan Bandur s.p.
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How we found 300 bugs in 2 hours with 25 AI agents

Manual regression takes days and still misses things. With our own tools AIIOtalk and WebTesterAI we handed the job to a team of AI agents — and got 300 concrete bugs in two hours.

A grid of agents and a found-bug counter

Testing is the work everyone postpones: dull, repetitive and never quite finished. Manual regression on a larger app takes days, and a person tires and misses things. So we handed the job to a team of AI agents — and here are the numbers.

The setup

We built two of our own tools:

  • AIIOtalk — an orchestration platform that runs 25+ autonomous agents at once. It handles task ordering (DAG), file-claim conflict resolution, and a full log with replay. 49 MCP tools.
  • WebTesterAI — browser testing exposed over MCP and built for agents, not humans. 75 tools across 12 categories: interaction, accessibility, network capture, visual diffing, SEO, responsiveness.

The run

The agents ran through the app in parallel — flows, forms, edge cases — each its own slice, no overlap. Where a human is sequential and tires, 25 agents are parallel and relentless.

The result

  • 300 bugs in ~2 hours (130 bugs in CompanyApp in a single iteration).
  • Every bug with steps to reproduce — not a vague “something's broken,” but an exact scenario.
  • A prioritised list, ready to fix.

Why it works

An AI agent doesn't guess and doesn't tire: it calls structured tools, logs every step, and runs in parallel. Testing becomes a matter of hours, not days — and can be repeated on every change.

What it means for you

We apply the same approach to your app or online store: surface bugs fast, before a customer finds them. This is our AI testing & QA service.

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