Welltested.ai
Automated tests for fast-moving teams.
Monthly visits:8122
Description:
Welltested.ai is an AI-powered testing tool that helps developers write high-quality unit tests for their Flutter apps. It uses machine learning to generate test cases that cover a wide range of scenarios, including edge cases and user interactions. Welltested.ai also integrates with popular state management libraries like Provider, Bloc, and Riverpod, making it easy to test complex applications.
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Features
- Generates unit, widget, and integration tests automatically
- Supports Flutter and Dart code for mobile, web, and desktop
- Integrates with popular state management libraries
- Provides meaningful test cases that cover a wide range of scenarios
- Self-learning AI that improves over time
Advantages
- Prevents bugs early on
- Verifies app functionality across multiple devices
- Enhances code quality
- Reduces the risk of breaking existing features when deploying
- Supports all kinds of architectures and state management solutions
Disadvantages
- May not be suitable for all types of applications
- Can be expensive for some users
- May require some technical expertise to use effectively
Frequently Asked Questions
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Q:Do you offer a free trial?
A:Yes, you can get started with an individual plan to understand how Welltested works and later upgrade to a starter or enterprise plan for best quality generations and complete data protection. -
Q:What parts of my code is collected? Is it used for improving the models?
A:We only analyze code and context required to generate unit test cases, i.e. the classes marked for testing and their dependencies. If you're a startup or enterprise customer, your data is fully private and we don't use it to improve our models. For individual users, we use the generated test data to enhance our models and improve the unit tests quality for all users. -
Q:Why do we perform so well for Flutter/Dart?
A:Our exceptional performance for Flutter/Dart unit testing stems from our team's deep expertise in Flutter engineering. We have invested significant time in: 1. Crafting tailored prompts specifically designed for Flutter/Dart unit tests, 2. Arranging these prompts in a sequence that produces well-structured and meaningful tests, 3. Analyzing not just the code being tested, but also its supporting context to generate tests with minimal syntax issues, and 4. Developing our own comprehensive dataset of unit tests, covering various libraries, state management solutions, and code architectures. This meticulous process ensures our tests not only improve code understanding but also identify edge cases and enhance overall code robustness.
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