AI Can Generate Unit Tests But Who Reviews Them?
As AI makes test creation nearly effortless, software teams face a new challenge: determining which tests actually improve quality and which simply add noise.
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Software Testing Magazine: Load Testing, Unit Testing, Functional Testing, Performance Testing, Agile Testing, DevOps
Turning Postman Collections into Committable Pytest Suites
In this article, Mikhail Golikov, the sole QA on a seven-team backend platform, explains how he turned a drawer full of unrun Postman collections into committable pytest suites, walks through the conversion request by request, and shows the folder-scoped command-line tool he built so one team’s pattern could scale to seven.
Open Source Test Data Generators
In most of your software testing activities, you need data. Sometimes you can rely on a small sample, but if you want to perform some load testing or if you want to test a feature that needs to produce a multipage invoice, then you start to need more than just two or three occurrences. Test data generators are tools that can help you in this task with the automatic generation of hundreds or thousands of customers, products or accounts items with different attributes for their id, email, name, etc.
Beyond Unit Tests: Using AI to Find Secret Failures in Distributed Systems
As distributed systems are too complex for deterministic testing, AI can help. In this article, Naveen Prakash proposes an approach based on the ideas of chaos engineering and AI-assisted testing. The focus shifts from testing individual pieces to understanding what happens when many services run together under unpredictable conditions.