To use Playwright MCP for automated UI testing and self-improving coding, follow these steps:

1. Set up Playwright MCP: Start by installing the Playwright MCP package. The last stable version is 0.0.2. You can also create a custom configuration file to specify settings like the browser type, device simulation, and additional arguments.

2. Use Playwright MCP for UI Improvement: Prompt the Playwright MCP agent to view the UI, identify areas for improvement, and iterate on the design until it looks perfect. The agent can use the vision model to analyze the UI and make necessary adjustments.

3. Automate UI Testing: Set up Playwright MCP to test the application's functionality, such as login authentication and task management. The agent can perform complex test flows and provide detailed feedback on any issues.

4. Create Reusable Playwright Tests: After the successful test runs, prompt the agent to create reusable Playwright tests that can be run automatically as part of your CI/CD pipeline. This ensures that any new changes to the application don't break the existing functionality.

5. Integrate with GitHub Actions: The agent can create a GitHub Actions workflow that runs the Playwright tests whenever you push changes to your repository. This helps catch issues early in the development process.

6. Optimize and Maintain the Tests: Continuously monitor the test results and make necessary updates to the Playwright tests to ensure they remain effective as the application evolves.

By leveraging Playwright MCP, you can streamline your UI testing and self-improve your coding process, leading to a more robust and polished application.

To use Playwright MCP, you'll need to set it up properly. Here are the steps:

1. Install the Playwright MCP package:

npm install @playwright/[email protected]

The latest version of Playwright MCP may have some issues, so it's recommended to use the 0.0.2 version for now.

2. Create a custom configuration file to specify your settings, such as the browser type, device simulation, and any special arguments needed to handle anti-bot setups or authentication requirements. You can save this configuration file and reference it using the --config-file flag.

3. Set up two different MCP servers - one with the vision model enabled, and one without. The vision model is great for UI iterations, but less effective for precise element interactions required for testing. Having both options allows you to choose the appropriate MCP server for your needs.

4. Start the MCP servers and choose the one you want to use for your specific task. For UI iterations, use the MCP server with the vision model enabled. For automated UI testing, use the MCP server without the vision model.

By following these steps, you'll have Playwright MCP set up and ready to use for both UI improvements and automated testing. Remember, if you're building AI applications or integrating AI into your projects, the free AI Playbook from MindStream can provide valuable guidance on choosing the right models and prompting techniques.

Playwright MCP (Multimodal Conversational Platform) is a powerful tool that can be leveraged to automate UI testing and self-improve the user interface of your applications. Here's how you can utilize it:

1. Set up Playwright MCP: Start by installing the Playwright MCP package at version 0.0.2, as the latest version may have some issues. You can also create a custom configuration file to specify settings like the browser type, device simulation, and additional arguments for handling anti-bot setups or authentication requirements.

2. Iterate on the UI: Use the Playwright MCP with the vision model enabled to view the UI of your application, identify areas for improvement, and make iterative changes. The MCP can analyze the screenshots, provide feedback, and make adjustments to elements like spacing, alignment, and background until the UI looks polished and visually appealing.

3. Automate UI Testing: Switch to the Playwright test MCP, which doesn't have the vision model, to set up automated UI tests. You can write scripts to simulate user interactions, such as logging in, adding tasks, and marking them as completed. These tests can be saved and reused to ensure the application's functionality remains intact with any future changes.

4. Create Reusable Test Scripts: After successfully running the tests, you can prompt the MCP to generate reusable Playwright test scripts. These scripts can be stored in a dedicated "tests" folder and executed whenever you need to validate your application's UI and functionality.

5. Integrate with CI/CD: The MCP can also generate a GitHub Actions workflow that will automatically run the Playwright tests whenever you push changes to your repository. This ensures that any new changes don't break the existing functionality before they are deployed to production.

By leveraging Playwright MCP, you can streamline your UI development and testing processes, ensuring a polished and robust user experience for your application.

Playwright MCP (Multimodal Conversational Platform) is a powerful tool that can be leveraged to automate UI testing for your web applications. By integrating Playwright's browser automation capabilities with the self-improving abilities of a conversational AI agent, you can create a sophisticated testing workflow that can identify and fix UI issues automatically.

Here's how you can set up and utilize Playwright MCP for your UI testing needs:

1. Set up Playwright MCP: Start by installing the Playwright MCP package at version 0.0.2, as the latest version may have some issues. You can also create a custom configuration file to specify settings like the browser type, device simulation, and additional arguments for handling anti-bot measures or authentication requirements.

2. Leverage Playwright MCP's Vision Capabilities: Use the Playwright MCP instance with the vision model enabled to visually inspect the UI of your application. This allows the AI agent to identify areas for improvement, such as spacing, alignment, and overall aesthetics. The agent can then make iterative changes to the UI until it meets your desired standards.

3. Automate UI Testing Workflows: Create a Playwright MCP instance without the vision model, as it may be less effective at precisely interacting with specific UI elements. Use this instance to automate end-to-end testing scenarios, such as verifying the login authentication flow and the ability to add, complete, and manage tasks in your application.

4. Generate Reusable Test Scripts: After the AI agent successfully completes the testing workflow, prompt it to create reusable Playwright test scripts. These scripts can be saved and executed as part of your continuous integration and deployment process, ensuring that new changes do not break the existing functionality.

5. Continuously Improve and Maintain Tests: If the AI agent encounters any issues during the automated testing, prompt it to update the test scripts accordingly. This way, your test suite remains up-to-date and can effectively catch regressions before they reach production.

By leveraging Playwright MCP's capabilities, you can streamline your UI testing process, reduce manual effort, and ensure the quality of your web application's user experience. This approach allows you to focus on building new features while the AI agent handles the tedious task of testing and maintaining the UI.

To create reusable Playwright UI tests, follow these steps:

1. After successfully completing the test flow using Playwright MCP, prompt the agent to create a reusable Playwright UI test based on the flow.

2. The agent will then install Playwright, set up the Playwright configuration (including the URL, browser, and other settings), and write the UI tests for logging in, adding tasks, and marking tasks as complete.

3. The agent will also create a README file that explains how to run the tests, and a GitHub Actions workflow to automatically run the tests on every push to the repository.

4. If the agent identifies any issues in the initial tests, it will update the tests accordingly.

5. The final result is a set of reusable Playwright UI tests that can be run automatically to ensure the application's functionality remains intact with any new changes.

This approach allows you to easily maintain and run automated UI tests for your application, without the need to manually write and update the tests every time the UI or functionality changes.

In this video, we explored how to leverage Playwright MCP to automate UI testing and self-improve the user interface of a web application.

Firstly, we set up the Playwright MCP environment, including configuring the necessary settings and creating two separate MCP servers - one with vision capabilities and one without. This allowed us to leverage the strengths of each setup for different tasks.

We then demonstrated how to use the Playwright MCP with vision capabilities to analyze the UI of a simple to-do app, identify areas for improvement, and iteratively refine the design until it looked more polished and visually appealing.

Next, we shifted our focus to automated UI testing. We assumed a more complex to-do app with login functionality and the ability to add and complete tasks. Using the Playwright MCP without vision, we were able to write a comprehensive test suite that covered the key user flows, including login, task creation, and task completion.

Furthermore, we explored ways to make this testing process more reusable and sustainable. By prompting the Playwright MCP to generate reusable test scripts, we were able to create a GitHub Actions workflow that would automatically run the tests whenever new changes were pushed to the repository, ensuring the application's integrity before deployment.

Throughout the video, we highlighted the benefits of this AI-driven approach to UI testing and improvement, emphasizing how it can save time, reduce manual effort, and catch issues early in the development process. We also mentioned the AI Builder Club, where you can find more in-depth content and resources to help you further explore these techniques and apply them to your own projects.