How AI Turned Me into a Playwright Wizard (Overnight and Without a Clue)

Once upon a time, in a land filled with legacy test frameworks and stale documentation, a brave automation tester (me) decided to embark on an epic quest: Setting up Playwright.

Did I have experience with Playwright? Nope.
Did I care? Also nope.
Did I have AI by my side? Absolutely.

Why Even Try?

Look, as an automation tester, I tend to stick with what works. I mean, if a tool runs my tests, why mess with it? But every now and then, an opportunity arises to experiment with something new—whether out of necessity, curiosity, or sheer boredom. This time, Playwright caught my attention, and with AI as my trusty sidekick, I was off to the races.

Step 1: Let AI Do the Heavy Lifting

Back in the olden days (aka pre-AI times), setting up a test automation framework meant:
☠️ Digging through outdated documentation
💀 Copy-pasting error messages into Google
⚰️ Watching my soul leave my body as I debugged for hours

But this time? I outsourced my brainpower to AI.

Here’s what I asked it to do:
✅ Generate Gherkin tests to perform basic site navigation.
✅ Spit out a Playwright test script (because why do it myself?).
✅ Give me step-by-step setup instructions for Playwright on a Mac using VS Code.
✅ Explain how to integrate GitHub and GitHub Actions because I enjoy pushing buttons and watching things work.

I didn’t even lift a finger—except to copy-paste AI’s glorious wisdom into my terminal.

Step 2: Reality Check—Tests Don’t Pass Themselves

Within minutes, I had Playwright installed, tests written, and GitHub ready to go. Then, I ran my first test.

🚨 Immediate Failure. 🚨

Ah, yes. The “real work” part of automation.

Turns out, AI may be fast, but it’s not perfect (yet). So I rolled up my sleeves, fixed some test selectors, and before long... BOOM! Tests passed locally.

Step 3: Automate Everything & Feel Like a Genius

With local tests working, I pushed everything to GitHub. Thanks to AI’s guidance, I even wired up GitHub Actions to run the tests in the cloud—so now my tests run automatically without me lifting a finger. (Truly, the dream.)

Final Thoughts (Or: Why AI Is My New Best Friend)

Setting up Playwright manually? Days of effort.
Setting it up with AI? Less than a day.
Feeling like a wizard because tests magically run? Priceless.

Moral of the story? AI won’t replace automation testers, but it will make us lazier—er, I mean, more efficient. The only question is: How fast can you let AI do the boring stuff so you can focus on the fun part?

Now, if you’ll excuse me, I have more AI-generated sorcery to explore. ✨

Comments

Building My Own AI Workout Chatbot: Because Who Needs a Personal Trainer Anyway?

The idea for this project started with a simple question: How can I create a personal workout AI that won't judge me for skipping leg day? I wanted something that could recommend workouts based on my mood, the time of day, the season, and even the weather in my region. This wasn't just about fitness—it was an opportunity to explore AI, practice web app engineering, and keep myself entertained while avoiding real exercise. Technologies and Tools Used To bring this chatbot to life, I used a combination of modern technologies and services (no, not magic, though it sometimes felt that way): Frontend: HTML, CSS, and JavaScript for the user interface and chatbot interaction (because making it look cool is half the battle). Backend: Python (Flask) to handle requests and AI-powered workout recommendations (it's like a fitness guru, minus the six-pack). Weather API: Integrated a real-world weather API to tailor recommendations based on live conditions (because nobody...

AI Wrote My Code, I Skipped Testing… Guess What Happened?

AI is a fantastic tool for coding—until it isn't. It promises to save time, automate tasks, and help developers move faster. But if you trust it too much , you might just end up doing extra work instead of less. How do I know? Because the other day, I did exactly that. The Day AI Made Me File My Own Bug I was working on a personal project, feeling pretty good about my progress, when I asked AI to generate some code. It looked solid—clean, well-structured, and exactly what I needed. So, in a moment of blind optimism, I deployed it without testing locally first. You can probably guess what happened next. Five minutes later, I was filing my own bug report, debugging like a madman, and fixing issues on a separate branch. After some trial and error (and a few choice words), I finally did what I should have done in the first place: tested the code locally first. Only after confirming it actually worked did I roll out the fix. Sound familiar? If you've ever used AI-gene...

Smart Automation: The Art of Being Lazy (Efficiently)

They say automation saves time, but have you ever spent three days fixing a broken test that was supposed to save you five minutes? That's like buying a self-cleaning litter box and still having to scoop because the cat refuses to use it. Automation in software testing is like ordering takeout instead of cooking—you do it to save time, but if you overdo it, you'll end up with a fridge full of soggy leftovers. Many teams think the goal is to automate everything, but that's like trying to train a Roomba to babysit your kids—ambitious, but doomed to fail. Instead, let's talk about smart automation, where we focus on high-value tests that provide fast, reliable feedback, like a well-trained barista who gets your coffee order right every single time. Why Automating Everything Will Drive You (and Your Team) Insane The dream of automating everything is great until reality slaps you in the face. Here's why it's a terrible idea: Maintenance Overhead: The more ...

Automation Insights 101

Search This Blog