How to Use AI to Generate Unit Tests (That Actually Work)



This content originally appeared on DEV Community and was authored by Jaideep Parashar

Unit testing is one of those tasks every developer knows they should do… but often avoid.
It’s repetitive, time-consuming, and not as exciting as building new features.

That’s where AI comes in. With the right prompts, you can generate reliable, context-aware unit tests in minutes — not hours.

Use AI to Generate Unit Test

Here’s how I use AI to make testing painless.

1⃣ Turn Functions Into Test Cases

Instead of writing tests manually, let AI generate them directly from your function.

💡 Prompt Example:

“Write unit tests in Jest for this JavaScript function: [paste code]. Cover normal cases, edge cases, and error handling.”

Why: You get structured coverage instantly.

2⃣ Cover Edge Cases Automatically

Developers often miss tricky scenarios. AI can expand coverage beyond the obvious.

💡 Prompt Example:

“Generate unit tests for this Python function. Include at least 3 edge cases I might overlook.”

Why: Increases robustness and prevents production bugs.

3⃣ Generate Parameterised Tests

When functions take multiple inputs, AI can create parameterised tests that cover combinations.

💡 Prompt Example:

“Write parameterised unit tests in PyTest for this function with inputs [list inputs].”

Why: Saves time and ensures thorough testing.

4⃣ Suggest Mocking Strategies

Complex apps need mocks for APIs, databases, or external services. AI can design them for you.

💡 Prompt Example:

“Create unit tests for this Node.js function. Mock the database call and verify return values.”

Why: It lets you test logic without depending on external systems.

5⃣ Generate Documentation with Tests

AI can pair tests with clear documentation, showing why each case matters.

💡 Prompt Example:

“Write unit tests for this function and add a short explanation (1–2 sentences) for each test case.”

Why: Makes code reviews and future debugging easier.

Final Thought

Unit tests aren’t optional — they’re your safety net.
But with AI, they no longer need to be a burden.

By automating the first draft, you can focus on refining and validating, instead of slogging through repetitive boilerplate.

Resources for Smarter Testing

📌 Next Post: “Stop Writing Boilerplate Code: Let AI Do It for You” — a developer’s guide to automating repetitive code.


This content originally appeared on DEV Community and was authored by Jaideep Parashar