AI Experiment Part 3: Leveraging AI for User Story and Test Case Generation

AI Experiment Part 3: Leveraging AI for User Story and Test Case Generation

Let’s talk about how AI can transform the way we create user stories and test cases. If you’ve ever felt bogged down by the time-consuming, detail-heavy process of crafting these from scratch, you’re not alone. That’s where AI steps in to make life easier.

Why Use AI for This?

The biggest win? Saving time and effort. Traditional methods can feel like a slog, requiring hours of careful attention to detail. AI, on the other hand, takes your input and quickly generates a solid starting point. Think of it like having an assistant who drafts the basics, so you can focus on refining and aligning the results with your project’s unique needs.

Consistency is another major perk. AI applies standardized structures and language, cutting down on errors and gaps in documentation. The result? A smoother workflow that not only speeds up delivery but also ensures high-quality outputs.

What We’ve Learned

When it comes to generating user stories and test cases with AI, we’ve been experimenting with a mix of tools—like open-source models through Ollama and platforms like OpenAI. Here’s what we’ve discovered so far:

• Code-focused AI models shine – They perform exceptionally well when tackling development-heavy tasks.
• General AI models excel at business analysis – They’re more effective for strategic planning and broader business use cases.

But here’s the key insight: context is everything. The quality of what you get depends heavily on how you set things up. For example:

• Asking AI to generate user stories and test cases at the same time? You’ll often get generic, less actionable results.
• Breaking it into two steps—first creating detailed user stories, then using those to craft test cases—produces much better outcomes.

It’s like building a house: you need strong blueprints (user stories) before you can design the interior details (test cases).

AI in Action

Check out these short clips showcasing how we’re leveraging AI for user story and test case generation.

What’s Next?

We’re excited about the future of AI in this space. Our vision is to build a library of specialized AI agents, each fine-tuned for specific tasks. By linking these agents together, we can create seamless workflows that save time and improve results.

This approach has already helped streamline some of our internal processes, and we’re just getting started. We can’t wait to see how these tools continue to evolve and drive innovation.

Have you tried using AI for user story or test case generation? What’s worked for you?