Hey dev community! I'm excited to share Stella, an open-source framework I've been working on that reimagines how we approach beta testing.
What is Stella?
Stella creates AI agents that act as beta testers, each with their own distinct personality, preferences, and testing protocols. Think of it as having a diverse team of testers available 24/7, but without the recruitment hassles and coordination overhead.
Why I Built This
As developers, we all know the pain points of beta testing:
- Finding and managing testers is time-consuming
- Feedback quality varies wildly
- Costs can quickly spiral
- Organizing testing sessions is a logistical challenge
How It Works
Each AI agent has:
- Defined behavioral patterns and decision-making frameworks
- Specific UX preferences and interaction styles
- Structured testing protocols
- Consistent communication patterns
Tech Stack
- MongoDB for persona management
- Python for core functionality
- Integration with web crawling tools
- Comprehensive feedback templates
Getting Started
https://github.com/seifbenayed/stella
I'd love to hear your thoughts and feedback! Have you faced similar challenges with beta testing? How do you currently handle user testing in your projects?
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