Articles on Modern Quality Engineering & AI Augmented QA/SDET
Our articles cover practical, hands on guidance for testers moving into AI augmented QA and SDET roles. Expect deep dive on AI testing tools, Playwright and API automation, agentic AI workflows, and ISTQB certification prep, all written the way we teach, direct and example driven.
Learn how to detect and prevent benchmark overfitting in AI test automation. Practical strategies backed by peer-reviewed research on data ...
Learn why fine-tuning fails and how to fix it. Research-backed guidance on dataset curation, deduplication, and avoiding train-test overlap.
Learn when to fine-tune a language model for QA, how LoRA compares to full training, and why RAG often outperforms both for test code ...
Learn how the LLM agent loop works — perceive, memory, think, act — and how to test each stage structurally with OpenTelemetry traces and cut ...
How AI agents tokenize, embed, and parse your natural language test commands — with research on identifier failures, RAG grounding, and p ...
Learn how coordinated AI agent systems outperform solo agents in QA. Research-backed results on architecture patterns, test generation, and ...
