TDD Predict is a Test-Driven Development (TDD) Enhancement Plugin for IntelliJ. It is designed to make Test-Driven Development more enjoyable and gamified, especially when doing katas or general development. This plugin streamlines the TDD workflow and allows you to easily track your test predictions and history.
- Simple TDD Workflow: Quickly press one of two prediction buttons - 'PASS' or 'FAIL' - to trigger the run configuration and perform the test.
- Prediction Tracking: The plugin records the outcome of the test and your prediction, allowing you to keep track of your correct and incorrect predictions, helping you focus on each step.
- History Tracking: The plugin maintains a history of your predictions per project, allowing you to review and learn from past mistakes or successes.
- Multi-Language Support: The plugin has been tested and confirmed to work with Java and Python test runners, making it versatile for various development environments.
To install this plugin, follow these steps:
- Open IntelliJ IDEA or Android Studio.
- Go to
File > Settings > Plugins. - Click on the
Marketplacetab. - Search for
TDD Predictplugin by name or keyword. - Click on the
Installbutton next to the plugin.
- Access the plugin in your IDE by finding the TDD Predict Tool Window and expanding it (by default it is at the bottom).
- When pressing the 'PASS' or 'FAIL' button, the plugin will execute the selected run configuration only.
- Configure your test runner and any necessary settings to ensure tests are run correctly.
- Press one of the prediction buttons ('PASS' or 'FAIL') to trigger the run configuration and perform the test.
- View your prediction and history data to track your progress and learn from past mistakes or successes.
You can delete the data in the settings panel.
A: To View commits you need to have a git remote configured.:
A: You can do this through the settings. The button is located within the tool window.:
If you'd like to contribute to the development of this plugin, please create a new issue or submit a pull request on the GitHub repository.
This project is licensed under the MIT License - see the LICENSE.md file for details.