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 why fine-tuning fails and how to fix it. Research-backed guidance on dataset curation, deduplication, and avoiding train-test overlap.
Empirical benchmarks comparing SLMs and LLMs for test generation. When a 7B model is good enough, when 70B earns its cost, and a practical ...
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 ...
Learn how to choose the right autonomy level for your AI agent workflows. Research-backed framework covering five levels, failure patterns, ...
