QA
Quality is a practice, not a phase. Practical guidance on test strategy and the testing pyramid, automation versus manual testing, performance and load testing, and building quality in so fewer bugs ever reach your users.
19 articles · written by senior engineers
Visual Regression Testing: Catching UI Bugs Automatically
Your tests pass but the layout is broken. Visual regression testing catches the pixel-level bugs assertions miss - here is how it works, which tools to use, and how to keep it from becoming noise.
Chaos Engineering: Testing Systems for Resilience
The only way to know how your system fails is to make it fail on purpose, safely, while you are watching. That is chaos engineering, and it is more disciplined than it sounds.
API Testing Strategy: Contract, Integration and Load
APIs are contracts other teams build on, so testing them needs a plan, not a pile of assertions. Here is a layered strategy that catches the right bugs at the right cost.
Test-Driven Development (TDD): A Practical Guide
TDD isn't about testing, it's a design discipline. Here's an honest, practical guide to the Red-Green-Refactor cycle, what it's good for, and where it isn't.
What Is the Software Testing Life Cycle (STLC)? Phases and Best Practices
Testing is not a single step you bolt on at the end. The software testing life cycle is the structured set of phases that turns testing into a planned, gated discipline running alongside development.
What Is Regression Testing? Why It Protects Every Release
A change in one place can silently break something unrelated somewhere else. Regression testing is the safety net that catches those breaks before your users do.
What Is User Acceptance Testing (UAT)? A Practical Guide
Your development team has finished the build and QA has signed off. Now it is your turn: UAT is where you and your real users confirm the software actually solves the business problem before it goes live.
Smoke vs Sanity Testing: What's the Difference and When to Run Each
Both are fast confidence checks, but they answer different questions at different moments. Here's what smoke and sanity testing each do, and when to run them.
Unit vs Functional Testing: What Each Catches and When to Use It
A unit test checks one piece of code; a functional test checks that a whole feature works for the user. They answer different questions, and you need both.
Waterfall vs Agile: Which Delivery Model Fits Your Project?
An honest comparison of Waterfall and Agile delivery: what each model really assumes, where each one fails, and how to choose based on your project's risks.
Building HIPAA-Compliant Healthcare Software: A Checklist
HIPAA compliance isn't a feature you bolt on - it's built into how the software handles data. Here's a practical checklist of what it takes to build healthcare software the right way.
Pharma Software & GxP Validation: What Developers Must Know
Pharma software lives under GxP and validation rules that shape how you build, test and document everything. Here's what developers must know to get it right.
QA - frequently asked questions
What's the difference between manual and automated testing?
Manual testing is people exploring the software and catching things a script wouldn't; automated testing runs repeatable checks fast on every change. You need both - automate the regression-heavy paths and use manual and exploratory testing for usability and edge cases.
What should we automate first?
Follow the testing pyramid - lots of fast unit tests, fewer integration tests, and a small number of end-to-end tests on your critical user journeys. Automating the highest-risk, most-repeated paths gives the best return.
How much testing is enough?
Enough to ship confidently without gold-plating. Focus coverage on the flows where a bug costs the most - payments, data integrity, security - and accept lighter coverage on low-risk areas. The goal is fewer production incidents, not a 100% coverage number.