Notes from the work.
What we learn building and running agentic systems, written down while it is still fresh. Most of it comes from our own testing platform and the applications it runs against.
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Engineering 6 min read
Why Flaky Tests Waste More Engineering Time Than Bugs
Flaky tests erode trust in your test suite, waste CI minutes, and train developers to ignore failures. What causes them, why they are worse than actual bugs, and how agent-based testing sidesteps the problem.
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Product 5 min read
Three Feedback Loops That Turn Broken Software Into Healthy Software
Most QA tools stop at 'we found a bug'. Aiqaramba closes the loop: find it, fix it, verify the fix, and catch the next regression. How three feedback loops move a product from red to green.
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Engineering 7 min read
We Use Our AI Testing Tool to Test Our AI Testing Tool
Aiqaramba production is a permanent QA client of Aiqaramba staging. Every feature we build gets tested by the product it is being built for. How the recursive loop works, what our first campaign found, and what we had been doing before.
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Case study 6 min read
AI Agents Found 19 Bugs Sentry Would Never Catch
Error monitoring tools like Sentry catch crashes. They do not catch buttons that do nothing, CORS blocks, or broken workflows. We ran 25 AI agent test sessions on a real B2B SaaS with an 11-step workflow and found 19 bugs, 2 of them critical, that Sentry had no way of seeing.
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