101 posts tagged with "Test Automation"

You write code in VS Code. You debug in VS Code. You review PRs (Pull Requests) in VS Code. So why should you leave VS Code every time you need to run a test?

Modern web app development is agile as well as robust. React apps ship daily. APIs evolve weekly. UI libraries update constantly. Moreover, Developers are expected to debug, optimize, test, and deploy all at once.

“The best way to predict the future is to invent it.” — Alan Kay, Computer Scientist and Pioneer of Object-Oriented Programming

“The United States doesn’t just build software, it sets the pace for how software is built globally.”

You know that sinking feeling when a routine release turns into a bug hunt marathon. One minute you’re merging code, the next you’re untangling a cascade of flaky test failures that never should have made it out of staging.

“If you’re not automating, you’re falling behind.” — Elon Musk, Founder, CEO & Chief Engineer of SpaceX, CEO of Tesla, Inc.

Some mornings, the test report feels like a puzzle you didn’t sign up for- dozens of UI failures, none pointing to the real issue. Maybe a selector broke, maybe a component was slow. Meanwhile, a few API tests could’ve surfaced the real problem early, clearly, and without the usual noise.

This happens because today’s SaaS systems rely on APIs more than ever- internal, external, partner integrations, you name it. And issues tend to surface at the API layer long before the UI reacts. OWASP’s API Security Top 10 highlights this too, calling APIs one of the most “high-impact failure points” in modern architectures because of their central role in app behavior.

This guide breaks down API automation testing in a simple, practical way so your team can build stability without drowning in complexity.

When I started my journey as a Test Engineer more than a decade ago, testing looked very different from what it is today.

We were still at a stage where manual testing was the norm. Every test case was executed step-by-step, documented in spreadsheets, and tracked in shared folders. Automation was aspirational — something teams wanted to "eventually get to".

Then came Selenium.

It felt revolutionary — the ability to automate browser actions, execute across platforms, and integrate into CI pipelines. But it came with its own set of challenges that shaped how many of us think about testing even today.

Software teams push for speed. Every sprint, every release has the same goal — ship faster, ship cleaner. But somewhere between test creation and release notes, things start slipping.

One test case gets cloned twice. Another sits outdated in a shared folder. Reports don’t line up. And before you know it, the QA cycle feels more like a puzzle than a process. That’s when the bugs start leaking through.