Any QA engineers out there ever feel like a human typewriter? You spend hours, days, maybe even your entire youth, hammering out the same predictable test cases for every new endpoint.
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POST /users- Check for a 201 Created. Check. -
POST /users- Send a null value foremail. Check. -
POST /users- Try a ridiculously long string forusername. Check.
It's tedious, it's repetitive, and let's be honest, it's not the best use of our brilliant QA minds. We should be hunting for the real bugs, the tricky edge cases, the stuff that actually breaks production. But who has the time when you're buried under a mountain of boilerplate?
Well, I'm here to tell you there’s a better way. I recently started using Apidog's AI-powered test case generation, and it's been an absolute game-changer.
Generate Test Cases Using AI Now
Your New AI Test-Writing Intern
Think of it as the smartest intern you’ve ever had. You show it an API spec, and it instantly drafts a whole suite of test cases for you. I’m not just talking about the happy path. Apidog's AI digs deep.
On any endpoint page in Apidog, you'll see a Test Cases tab with a magical little button: Generate with AI.
Click it, and a panel slides out where the magic happens. You can tell the AI exactly what you need.
- Positive Cases: The "does it work?" checks.
- Negative Cases: The "does it break when I do something dumb?" checks.
- Boundary Cases: Testing the limits of your inputs.
- Security Cases: Basic checks for common vulnerabilities.
You can even give it additional instructions, like "generate test cases for a user in the EU" or "create tests that use a specific user role."
From Generation to Execution in Seconds
Once you’ve set your requirements, just hit Generate. The AI gets to work, analyzing your API definition—parameters, responses, and schemas—and crafts a comprehensive set of test cases in seconds.
Here's the best part: the generated cases aren't just suggestions. They are fully formed, runnable tests right inside Apidog.
Your workflow looks like this:
- Review: Click on any generated case to see the exact request parameters it configured. No black boxes here.
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Run: Hit the
Runbutton to send the request and see the response immediately. -
Accept or Discard: If a test is good,
Acceptit to save it to your test suite. If it’s not what you need,Discardit. You can even bulk-accept or discard to move even faster.
I went from spending half a day writing tests for a complex endpoint to having better coverage in less than 15 minutes. That’s not an exaggeration.
Why This is a Big Deal for QA
So, what does this actually mean for us in the trenches?
- Massive Time Savings: This is the most obvious one. The hours you used to spend on repetitive test creation can now be spent on high-impact activities like exploratory testing, performance analysis, or just getting a coffee without feeling guilty.
- Drastically Increased Coverage: The AI thinks of things you might miss. It will systematically create tests for every parameter, hitting boundaries and negative paths you might overlook when you're in a hurry.
- Focus on What Matters: Instead of being a test-writing machine, you can be a true quality advocate. Use your expertise to design complex test scenarios and hunt for elusive bugs, leaving the boilerplate to your AI assistant.
- Consistency and Standardization: The AI generates tests based on the API spec, ensuring your test cases are always aligned with the single source of truth. This is a core principle of the API-first approach and helps eliminate drift between what the API is supposed to do and what it actually does.
Stop Typing, Start Testing
In a world where development cycles are getting shorter and shorter, we can't afford to be bogged down by manual, repetitive work. Tools like Apidog are leading the charge in smart automation, giving us the leverage to do our jobs better and faster.
If you're tired of being a human typewriter and want to get back to the creative, challenging work of being a QA engineer, you need to give this a try.
Top comments (2)
I am waiting for such tool for so long!
Sounds cool, I am gonna try it out!