Free AI Prompt Generator for Web Development

Convert developer tasks or bug reports into detailed prompts for AI coding agents.

This free AI prompt generator is designed to create detailed prompts for AI debugging or other changes to your website or web application. The generated AI prompts can be pasted into any AI coding agent, AI coding assistant, or low-code “vibe coding tool.” This will assist you in AI code fixing and debugging, and enhance the final outcome.

To start using it, you need a web application or site in a staging environment, in production, or on your local machine.

You will also require either an AI coding tool or the Vibe coding tool to implement the created prompts. The only requirement is that your AI tool must have access to the entire code base of the project, not just the current source code file. For better outcomes, we recommend using AI coding agents that are integrated into IDEs or installed as extensions for IDEs (e.g, Cursor AI, Windsurf).

How to use Webvizio AI Prompt Generator

Complete the required fields.
Fill in the additional fields to help the AI Agent better understand your task. Only complete the fields that are relevant to the current task. This ensures the AI prompt generator delivers accurate results.
By default, prompts are generated in XML format, as it helps better structure data for AI agents. If your AI agent or chosen LLM model works better with plain text prompts, you can select the Text format.
When done, click the Generate button.
Copy the generated prompt from the result field, or click the Copy button to copy the prompt to your clipboard.

Field description:

Task Description: A description of the task that the AI Agent should perform. Describe the task in as much detail and as concisely as possible. An accurate task description helps the AI prompt generator to provide precise outputs.
URL: The URL address of the page related to the task or where the bug was found. Even if the problem pertains to the backend of the project, specify the page associated with the relevant part of the backend or from which you can access the route related to the task. You may provide either the full address with the domain name or the relative path to the page.
Selector: Specify the unique CSS Selector of the element related to the task or issue. Refer to this article to learn how to find the element selector. If the problem relates to the backend part of the project, specify the element that can be used to trigger the backend functionality (button, icon, menu item, etc.).
Browser: If the problem occurs only in a specific browser or you want to implement functionality specifically for a particular browser, specify the browser name and version.
Device: If the task relates to a specific device type, indicate it in the selector.
Logs: Completing this field can improve the final outcome for bug fixes, as the information in the logs can help the coding AI agent determine the cause of the problem more accurately. In this field, you can insert Console logs, Network Logs, Server Logs, or any other logs that may be useful for analyzing the problem. How to obtain different types of logs in the browser can be found in this article.

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Frequently Asked Questions

In most cases, providing additional information can significantly improve the quality of the prompt, and as a result, the task will be completed more accurately. However, it’s better not to provide irrelevant data in the context of the described task, as it may confuse the AI Agent. For example, you do not need to add technical logs if your task concerns design improvements. Also, if your task refers to the project’s backend, details about the browser and device are usually irrelevant unless they are directly related to backend functionality.

Currently, our team prefers Claude 3.7 Sonnet, but it’s always a good idea to check the latest model comparisons to see if a specific model better suits your needs. For example, WebDev Arena Leaderboard provides the most recent comparisons between LLM models.

Prompts generated by the free AI prompt generator are universal and will work for AI code fixes with any AI agent or AI coding assistant. The only requirement is that your AI tool must have access to and be able to work with the entire codebase of the project, not just the current source code file.