AI Testing
AI has changed what's possible in test automation. The traditional approach — writing code to drive browsers, maintaining brittle selectors, spending hours fixing tests when UI changes — is no longer the only option. AI-powered test automation lets you describe tests in plain language, generates test steps from user stories,
Agile Testing
Test planning in agile environments is fundamentally different from traditional waterfall QA. There are no multi-week test phases, no formal test plans that take weeks to write, and no QA team that inherits code at the end of a release cycle. Instead, testing happens continuously, in parallel with development, sprint
QA Strategy
"Testing in production" used to be an insult — shorthand for teams that didn't test at all and used their users as beta testers. Today it's a deliberate strategy used by some of the most reliable engineering organizations in the world. The distinction is important:
QA Strategy
One of the most consequential decisions engineering leaders make is how to structure QA: should testers be embedded in product teams, sit in a central QA function, or some combination of both? The decision shapes release velocity, quality culture, and how testing is resourced and prioritized. There's no
Continuous Deployment
Continuous deployment changes the fundamental constraint of software quality assurance. In a traditional release cycle, you have hours or days to test before a release. With continuous deployment — deploying multiple times per day, sometimes dozens of times — you have minutes. Often less. This doesn't mean you test less.
QA
Most early-stage product teams don't have a dedicated QA engineer. They have developers, a PM, maybe a designer — and a shared, vague sense that "we should test more." Quality assurance ends up being informal: developers test their own code, the PM clicks through the app before
No-Code Testing
Most founders and product teams assume that app testing requires writing code. They picture Selenium scripts, Cypress configuration, and engineers maintaining brittle test suites. So they either skip testing or hand it off to developers who already have too much on their plate. There's a better way. You
QA Strategy
The way software teams approach testing is changing faster than at any point in the last decade. AI-powered test generation, continuous deployment pipelines shipping multiple times a day, distributed teams, and products with increasing complexity — all of these have stressed the traditional "QA team tests it before release"
QA
Every time a product manager hits "ship it," there's a moment of uncertainty: did we test everything that matters? Without a structured checklist, testing becomes reactive — you find out what broke when users complain, not before. This checklist is designed for PMs who own their product&
No-Code Testing
User flow testing is the practice of verifying that your users can successfully complete key journeys in your application — from sign-up through onboarding to their first meaningful action. It's the most important type of testing for most web apps. The traditional approach requires coding: you write Playwright or
QA
Quality assurance has always been someone else's job — handed off to QA engineers, or left to developers to figure out. But here's the reality: product managers understand the user flows better than anyone. You know what needs to work. You know what would break the experience.
QA
You launched your app. Users are signing up. Things are generally working — but occasionally something breaks, and you find out from a frustrated user in your inbox, not from a monitoring alert. You know you should "have QA," but you're not sure what that means in