Welltested.ai is an AI Autopilot tool that has been designed to help developers add 100% test coverage to their codebase in minutes. It integrates as a package with your Flutter codebase and generates test cases as you write code.

This ensures stable Welltested PRs and well-tested apps for your users. The AI tool works alongside developers and generates thoughtful test cases for your code.

You don't have to shift between IDEs to generate tests or mark any class that you want to test with @Welltested annotation as the tests are generated automatically.

It generates meaningful test cases, which simulate a wide range of input conditions, edge cases, and user interactions to ensure the code behaves as expected under every possible condition.

The AI system is designed to learn from its mistakes, and developers can save the final test back to the system. If any syntax issues or errors occur in the generated tests, the necessary fixes can be made and saved, and the AI will analyze these changes and learn from them, preventing the same mistakes from happening again.Welltested.ai enables early detection and prevention of over 10 different kinds of bugs, such as logic errors, state management issues, and validation errors, resulting in enhanced code quality.

It promotes well-structured, readable and maintainable code that follows best programming practices such as SOLID principles. Ensuring code changes pass all unit tests helps maintain the stability of existing features, which reduces the risk of regressions.

Welltested.ai supports all kinds of architectures like MVVM, Clean architecture and state management solutions as long as the basic testability principles are followed.

The tool offers a free plan for personal projects and trying their testing AI, while for production projects and growing startups, they have premium plans with the best quality unit tests, code architecture tips, priority support, and fully private data.

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Welltested was manually vetted by our editorial team and was first featured on May 27th 2023.

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Pros and Cons

Pros

Generates thoughtful test cases

Integrates with Flutter codebase

Generates test cases automatically

Can simulate wide range of input conditions

Simulates user interactions

Can simulate edge cases

Detects and prevents various bugs

Enhances code quality

Promotes well-structured, readable code

Promotes maintainable code

Supports best programming practices

Supports all kinds of architecture

Supports a variety of state management solutions

Free plan available

Premium plans for production projects

Offers code architecture tips

Provides priority support

Guarantees fully private data

Maintains test coverage

Helps in early bug detection

Helps in reducing debug time

Helps in stress-free deployment

Supports various state management solutions

Can be used for testability assessment

Supports MVVM architecture

Supports Clean architecture

60 days money-back guarantee

Allows up to 25 projects for enterprise plans

Offers dedicated testing expert for enterprises

Complete data protection for enterprises

No credit card required for free plan

Supports Dart language

Supports Bloc

Cons

Limited to Flutter codebase

Not fully autonomous

Tests generated may have errors

Free plan uses tests data

Premium plans can be expensive

Confined to pub.dev dependency

Supports limited number of projects

Requires manual class marking for testing

Limited to certain code architectures

Requires specific testability principles adherence

Q&A

What is Welltested.ai?

Welltested.ai is an AI Autopilot tool designed to help developers add 100% test coverage to their codebase. It generates thoughtful test cases for your code, as you write, and integrates as a package with your Flutter codebase. Welltested.ai is capable of early detection and prevention of over 10 different types of bugs, offering enhanced code quality and supporting numerous architectures and state management solutions.

How can Welltested.ai help in my coding process?

Welltested.ai helps by automating the creation of test cases for your code. As you write code, Welltested.ai generates meaningful test cases, simulating a wide range of input conditions, edge cases, and user interactions. This ensures your code behaves as expected under every possible condition. It enables early detection and prevention of bugs, resulting in enhanced code quality.

How does Welltested.ai generate test cases?

Welltested.ai generates test cases autonomously as you write your code. It simulates a wide range of input conditions, edge cases, and user interactions to ensure the code behaves as expected under every condition. To generate tests, you simply need to mark any class that you want to test with the @Welltested annotation, and the tool automatically generates the corresponding tests.

How does Welltested.ai promote well-structured, readable and maintainable code?

Welltested.ai promotes well-structured, readable, and maintainable code by maintaining unit test coverage. This means that the AI constantly reviews the code and suggests improvements following the best programming practices such as SOLID principles. By ensuring the code changes pass all unit tests, it helps maintain the stability of existing features and reduces the risk of regression.

How much test coverage does Welltested.ai provide?

Welltested.ai provides 100% test coverage for your codebase. It generates test cases as you write code in real-time, ensuring that every aspect of your codebase is thoroughly tested and is behaving as expected.

How does Welltested.ai integrate with my Flutter codebase?

Welltested.ai integrates with your Flutter codebase as a package. Developers don't need to switch between IDEs to generate tests. Once integrated, simply mark any class that you want to test with the @Welltested annotation, and the tool will automatically generate the corresponding tests.

Can I save my final tests back to Welltested.ai?

Yes, developers can save their final tests back to Welltested.ai. If any syntax issues or errors occur in the generated tests, the necessary fixes can be made and saved. Welltested.ai will then analyze these changes and learn from them.

How does Welltested.ai learn from its mistakes?

Welltested.ai learns from its mistakes through a built-in self-learning algorithm. When you save the final tests after correcting syntax issues or errors, Welltested.ai analyzes these changes and uses this information to refine and improve its future performance, ensuring the same mistakes are not repeated.

In what way does Welltested.ai prevent bugs?

Welltested.ai helps prevent bugs through its AI-driven, autonomous coding testing capabilities. It generates meticulous unit test cases that simulate a wide range of conditions and interactions. This enables early detection and prevention of bugs, reducing the need for debugging time and enhancing the quality of the software being developed.

What type of bugs can Welltested.ai help in preventing?

Welltested.ai is capable of detecting and preventing more than 10 different types of bugs. These include, but are not limited to, logic errors, state management issues, and validation errors.

How does Welltested.ai support different architectures like MVVM and Clean Architecture?

Welltested.ai supports all kinds of architectures like Model View ViewModel (MVVM), Clean architecture, and many others. The AI tool aligns seamlessly with these architectures as long as the basic testability principles are followed, thus ensuring a high-quality codebase and efficient application performance.

Does Welltested.ai offer a free plan?

Yes, Welltested.ai offers a free plan ideal for personal projects and trying their AI testing tool. The free plan includes high-quality unit tests, no project limits, and access to their free email newsletter and events.

What's included in Welltested.ai's premium plans?

In premium plans of Welltested.ai, features include best quality unit tests, code architecture tips, priority support, and fully private data. These plans are designed for production projects and growing startups, offering higher quality and more personalized services.

How can Welltested.ai enhance my code quality?

Welltested.ai enhances your code quality by enabling early detection and prevention of over 10 different types of bugs. By maintaining unit test coverage, it promotes well-structured, readable, and maintainable code that follows the best programming practices such as SOLID principles.

What is the Welltested annotation used for in my codebase?

The @Welltested annotation is used in your codebase to mark any class that you want to test. Once a class is annotated with @Welltested, the tool automatically generates tests for that class, thus negating the need to shift between Integrated Development Environments (IDEs) to create tests.

How does Welltested.ai support state management solutions?

Welltested.ai supports various state management solutions as long as the basic testability principles are followed. This includes solutions like Provider, Bloc, Riverpod, and Getx. It is capable of seamlessly integrating and aligning with these solutions, enabling higher efficiency and productivity.

What role does Welltested.ai play in maintaining the stability of existing features in my codebase?

Welltested.ai plays a key role in maintaining the stability of existing features by ensuring that all code changes pass all unit tests. This helps to maintain the stability of the features and minimizes the risk of breaking changes or regressions, ensuring a seamless experience.

Do I need to shift between IDEs to generate tests with Welltested.ai?

No, developers do not need to shift between IDEs to generate tests with Welltested.ai. The tool functions as a pub.dev dependency directly within your Flutter codebase. Just annotate any class that you want to test with @Welltested, and the tests will be generated automatically.

Can Welltested.ai help me in maintaining a streamlined development process?

Welltested.ai facilitates a streamlined development process by autonomously generating unit tests for your code as you write it. This reduces the time spent on generating tests and debugging, allowing your team to focus more on delivering new features. It also ensures the stability of existing features, minimizing the risk of regressions and promoting efficiency.

How can Welltested.ai help in deploying stress-free code changes?

Welltested.ai significantly helps in deploying stress-free code changes by ensuring that all code changes pass all unit tests before deployment. This maintains the stability of existing features and minimizes the risk of regressions. With comprehensive test coverage assured by Welltested.ai, developers can deploy new releases with increased confidence.