Test Strategy
Session-based test management gives structure to exploratory testing without scripting it. But most SBTM guides stop at the basics — charters, timeboxes, debrief. What they skip is the operational layer: how do you run SBTM with five testers across three feature areas? How do you measure coverage? How do you
Testing
Test-driven development (TDD) is shift-left taken to its logical extreme: tests are written before the code they test. This forces quality considerations to happen at specification time — the earliest possible moment. This guide covers the TDD cycle, why it's the most effective shift-left practice available,
Test Strategy
Unit tests catch logic errors. Integration tests catch interface mismatches. But a category of bugs only appears when software runs in the real world — under load, with real data, in unpredictable sequences. Runtime testing is the discipline for finding those. This guide covers the strategies, tools, and thinking behind effective
Test Strategy
Risk-based testing is a prioritization method: test the things that will cause the most damage if they break. It doesn't mean testing less — it means allocating limited testing time toward the highest-impact, highest-probability failure points first. When time runs out before full coverage, you'
Mobile Testing
Mobile teams constantly fight the same battle: test code for iOS and Android is 80% identical but diverges on selectors, gestures, permission dialogs, and platform-specific behaviors. The naive approach is two separate test suites. The right approach is shared test logic with platform adapters. This guide covers the architectural
Test Strategy
A bug bash concentrates the entire team — developers, product managers, designers, support staff, and testers — on finding bugs in a short window of time. Done well, it surfaces issues that normal QA cycles miss and builds cross-functional understanding of how the product actually behaves. Done poorly, it's
Test Strategy
Two people testing the same feature at the same time sounds inefficient. It isn't. Pair testing consistently surfaces bugs that solo testing misses, accelerates knowledge transfer, and produces better test coverage in less calendar time. This guide covers the mechanics — roles, session structure, when to use it, and
BDD
Acceptance Test-Driven Development fails more often from collaboration problems than technical ones.
AI Testing
Every AI coding tool — Cursor, Copilot, Amazon Q, Claude, Gemini Code Assist — generates code that looks correct.
Testing
Most teams have a testing gut feeling—they write unit tests, some integration tests, maybe some end-to-end tests.
Testing
Golden master testing (also called characterization testing) captures what your code currently does and stores it as a baseline. You then refactor with confidence — if the output changes, the test fails. It's not about proving your code is correct; it's about proving a refactor didn'