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DeepUnitAI, Supertest, Sapient.ai, Refraction, Codejet.ai, Eval - Your AI Codepilot, DropbotAI, TestGenAI are the best paid / free Unit Testing tools.
Unit testing is a software testing method that focuses on testing individual units or components of a software application. It is a crucial part of the software development process, as it helps ensure the correctness, reliability, and maintainability of the codebase. Unit tests are typically automated and are written by developers to verify that each unit of the software performs as intended, even when changes are made to the code.
Core Features
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Price
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How to use
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DropbotAI | AI-powered product testing | 1. Type in a brief description of your product. 2. Generate outputs and review until you have the perfect brand and marketing strategy. 3. Start testing your Ai-crafted marketing plan. | |
Refraction | Code generation in 56 languages | To use Refraction, simply paste a block of code into the tool, choose your language or framework, and click 'Generate' to witness the magic. You can generate code in 56 different languages, such as Java, Python, JavaScript, C++, and more. | |
Codejet.ai | Jet speed design-to-code transformation | To use Codejet.ai, follow these steps: 1. Design in Figma: - Create or adapt a design using Codejet components in Figma. - Make sure to use the Codejet Assistant Figma plugin for proper conversion. 2. Export to Codejet: - Copy the link of the specific screen in Figma that you want to convert. - Paste the link in Codejet and specify the desired export option (React.js or HTML). - Download the generated code. 3. Download and run the code: - If exporting React.js code, you can use Codejet's boilerplate or integrate it into your own project. - If exporting HTML, simply open the index.html file. Enjoy the streamlined design-to-code workflow with Codejet.ai! | |
Sapient.ai | The core features of Sapient.ai include: 1. Autopilot for Unit Testing: Sapient analyzes your code and AI-generates precise unit tests. 2. Test Coverage Maximization: Sapient comprehends every exit point of your methods to maximize test coverage. 3. Testing at Warp Speed: Sapient rapidly generates unit tests for your codebase. 4. Early Warning System: Sapient flags areas that may require refactoring for optimal maintainability. | To use Sapient.ai, follow these steps: 1. Join the Sapient AI Tech Stack webinar on September 6 at 9:30 AM PT. 2. Explore the use cases and solutions provided on the website. 3. Watch the demo video to understand how Sapient.ai works. 4. Check if your programming language is supported (HTML, CSS, JavaScript, Python, NodeJS, C/C++, C#, Ruby). 5. Sign up for a demo of SapientAI to experience the future of unit testing. | |
Supertest | AI-powered unit test generation |
1 $19/month 75 tests per month. VS Code extension. Unlimited test history
| 1. Install the Supertest VS Code extension. 2. Paste your React component in the editor. 3. Click 'generate' to generate a unit test. |
Eval - Your AI Codepilot | AI Pair Programming | To use Eval, sign up for an account or log in if you are already a member. Once logged in, you can access the following features: 1. Codepilot: AI Pair Programming - Collaborate with Eval to get real-time suggestions and guidance while writing code. 2. AI Unit Test Writer - Automate the generation of unit tests for your code. 3. AI Code Documentation - Automatically generate code documentation to improve readability and understandability. 4. Code Explanation & Analysis - Receive detailed explanations and analysis of your code to identify potential issues or optimizations. Integration with your preferred IDE is supported, and Eval adapts to various programming languages. | |
TestGenAI | TestGenAI offers the following core features: 1. AI-powered test generation: Utilizes AI algorithms and AST to generate PHP unit tests. 2. Quick test generation: Generates tests in seconds with a single click. 3. Project context: Generates tests with consideration of project context rather than isolated forms. 4. History of generated tests: Provides a record of previously generated tests for easy reference. | To use TestGenAI, you need to register an account on the website. Once registered, you can provide your class and method code to TestGenAI. The tool analyzes your code using AI and AST techniques to generate PHP unit tests. You can then review and use these generated tests to ensure the functionality and reliability of your code. TestGenAI also provides a history of generated tests for reference and further use. | |
DeepUnitAI | Utilizing cutting-edge Language Learning Models (LLMs), we autonomously generate unit tests tailored to specific software modules. These tests undergo rigorous post-creation verification to ensure their comprehensiveness and accuracy. You'll be equipped with reliable, ready-to-use unit tests. |
Basic $180/yr No signup required
| Simply run the npm command to generate tests, for more information on how to run the command, visit our documentation. |
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In a continuous integration/continuous deployment (CI/CD) pipeline, unit tests are automatically run whenever changes are pushed to the repository, ensuring that the codebase remains stable.
When refactoring legacy code, developers use unit tests to ensure that the functionality remains the same after the refactoring process.
User reviews of unit testing are generally positive, with developers praising its ability to improve code quality, catch bugs early, and increase confidence in making changes. Some developers find writing and maintaining unit tests time-consuming, but most agree that the benefits outweigh the effort. The main challenge is ensuring that tests are well-designed, maintained, and provide good coverage of the codebase.
A developer writes a unit test for a login function to ensure that it correctly validates user credentials and handles various scenarios, such as invalid inputs or locked accounts.
Before committing changes to a version control system, a developer runs the unit tests to catch any regressions or unintended side effects.
To implement unit testing, follow these steps: 1. Identify the units or components to be tested. 2. Write test cases for each unit, covering various scenarios and edge cases. 3. Use a unit testing framework (e.g., JUnit for Java, pytest for Python) to automate the tests. 4. Run the tests frequently, especially after making changes to the codebase. 5. Analyze test results and fix any failures or issues discovered during testing. 6. Maintain and update the unit tests as the codebase evolves.
Improved code quality and reliability
Faster bug detection and resolution
Increased developer confidence in making changes
Better code maintainability and refactoring
Documentation of expected behavior through test cases