testRigor Blog

Weekly QA Testing Knowledge

The Role of AI in Root Cause Analysis (RCA): How AI Accelerates Problem Detection

Software today is much more complicated than it was a decade ago: instead of simple, deterministic applications, we’re now dealing with distributed systems of microservices, APIs, containers, cloud infrastructure, event-driven integrations, and third-party platforms. Artificial Intelligence makes Root Cause Analysis more challenging but interesting. Old methods of reading logs and code become infeasible with the …

How to Test AI Apps for Data Leakage

Artificial intelligence (AI) has transformed the way organizations work. Large language models (LLMs) and generative AI ...

Common Myths and Facts About AI in Software Testing

Nowadays, your eyes might see AI everywhere, from software testing blogs and live-streamed presentations to LinkedIn updates and ...

How Testers Need to Prepare for a Job in 2026

The software testing landscape has evolved more rapidly in the last three years than in the previous twenty. With the fast ...

What is Sandwich Testing?

Integration testing is the place where all software and testing assumptions meet across data formats, timeouts, authentication, ...

What is Screenshot Testing? (+Examples)

A checkout button can fall below the fold. The price and discount icons can overlap. The text in a dark-mode background can be ...
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