Deep-dive QA/SDET resources — architecture blueprints, framework comparisons, and guides to level up your automation and interview prep. All original content.
A production-grade layout for a Playwright TypeScript framework — fixtures, page objects, config, CI wiring, and the trade-offs behind each layer.
Driver lifecycle, waits, Page Object Model, parallel execution, and CI integration — a practical architecture for a real Selenium project, not a toy demo.
Request specs, response validation, auth handling, and data-driven design for a maintainable RestAssured framework.
No tool wins every category. A practical breakdown of where each framework genuinely has the edge, and how to actually decide for your team.
A grounded look at what AI-assisted and agentic testing tools are genuinely good at today, versus the hype — self-healing locators, test generation, and autonomous exploration.
A breakdown of what interviewers are actually evaluating at each stage of a senior SDET interview loop — beyond just 'can you write a test.'
Three interview rounds at Deloitte — covering data-driven frameworks, Maven, TestNG, Selenium, and HR discussions. Real questions from a recent QA interview.
The legendary detective's investigative methodology maps surprisingly well to how great QA engineers approach bugs and test design.
Building apps for a global audience? Here are the critical components you must test to ensure your software works across locales, languages, and cultures.
Crowdtesting lets real users test your product under real conditions before release. Here's how it works, when to use it, and its pros and cons.
Running Scrum? Here's how to fit smoke, regression, integration, system, and acceptance testing into a time-boxed sprint without burning out your QA team.
Not all bugs are equal. These 7 strategies help QA teams identify the right bugs and prioritize them by business impact — so the most critical fixes ship first.
A practical cheat-sheet of the essential Git commands for QA professionals — from cloning a repo to raising a pull request.
Two terms often confused, with completely different purposes. Here's a clear breakdown of when each applies and why both matter in a QA cycle.