What kind of tasks can PureCode AI help with?

PureCode AI can handle everything from debugging code, creating APIs, and writing scripts, to refactoring your codebase. It can even help build full-stack projects, either from scratch or within an existing codebase—making development smooth and efficient across frontend, backend, and infrastructure.

What kind of programming languages does PureCode AI support?

PureCode AI supports all major programming languages and frameworks, including JavaScript, TypeScript, Python, Java, Go, C#, PHP, and popular frameworks like React Native, Vue, Next.js, and Ant Design. Whether you're building new features, modifying existing code, or working across different layers of a full-stack application, PureCode AI can assist with any language or framework in your project.

How does PureCode AI understand my codebase?

With Advanced Indexing enabled by default, PureCode AI automatically indexes your entire codebase, analyzing its structure. Whenever you make changes, it re-indexes the code to ensure that suggestions, queries, and responses are always accurate, relevant, and based on the most up-to-date version of your project.

How does PureCode AI keep my code secure?

PureCode AI keeps your code local, never storing or processing it in the cloud, unlike other competitors. You retain full control over your intellectual property and data ownership. Plus, the platform automatically meets enterprise compliance standards, ensuring robust security throughout your development process.

Can I add custom documentation to PureCode AI?

To add custom documentation, go to Settings below the chat area and upload the public URL of your documentation. Once saved, you can reference it in chat by typing @Docs, then select your saved document. Similarly, you can use @UI to reference saved UI components in your project.

How can I solve errors using PureCode AI?

To solve errors using PureCode AI, type @terminal and simply say 'solve all errors' to fix issues in your terminal commands. If you're dealing with errors in a visible file, open the active file and use the 'Fix all errors' or 'Fix all errors with context' option. For better results, you can also add @codebase along with @terminal to resolve errors across the entire codebase more effectively. This ensures efficient error resolution in both your terminal and active files.

Ready to build? Describe your Tailwind Autocomplete component.

How would you like your Tailwind Autocomplete component to function and look?

User Generated Tailwind Autocomplete Components

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Create a responsive dark themed survey summary dashboard with the following columns: respondent ID, age, gender, date of response, response score, feedback, and Action Taken. Include features for filtering, sorting, and exporting the data. Add line charts and bar charts for summary.

Design a pricing plans section with a header 'Get an attractive price here' and a 2-line description guiding users to choose their ideal plan. Include Intro, Base, Popular, and Premium plans, each displaying its name, monthly price, brief description, 10 list items (e.g., storage, support, integrations), and a Choose Plan button. Ensure larger cards, consistent layout, clear typography, intuitive spacing, and good color combinations to differentiate each plan for easy navigation.

Create a Chat UI component with a sidebar listing contacts, showing each person's avatar, name, and a recent message snippet. The main section features a header with the current chat partner's avatar, name, and online status, followed by a scrollable, time stamped conversation history that differentiates sent and received messages. At the bottom, include an expandable input field and a send button.

Design a FAQs page interface with two sections: the left section should feature a list of FAQs, and the right section should include an image. Ensure the page is modern, stylish, and formal, using a color scheme that is both vibrant and professional to enhance visual appeal and comprehension.

Design a checkout form that includes a summary of the items being purchased, with fields for shipping and payment information. Add a light grey background with an opacity of 0.5. Ensure the layout is clear and user-friendly.

Create a carousel titled Meet Company Members with an enlarged subtitle and testimonial slides. The title should be big and bold, positioned on the left, followed by a 3-line description. The carousel should span full width with testimonial photos on the left and text content on the right. Each slide features an increased photo size, a five-line testimonial text, and the member's name and role. Include navigation arrows and indicator dots for easy navigation. Enhance the design with a background color to give it a polished look.

Create an interface for selecting workflows with a header and a grid layout. Include options such as Email reminder to invitee and Send thank you email, each featuring an icon, title, description, and Use workflow button. Add a Create your own workflow link/button at the top right and a Show more button at the bottom. Additionally, add 3 more workflow cards and apply a shadow effect to the entire component.

Create a shopping cart with rating and sizes in the top and at the bottom part give the credit card details along with order summary

Create a herosection for my ecommerce website.

Build Tailwind Autocomplete UI with Purecode

Step 1

Define Your Tailwind Autocomplete Scope

Define what you want your Tailwind Autocomplete component to achieve as a prompt above

Step 2

Configure your Tailwind component with your preferred features and design

Define your Autocomplete component's features, choose your preferred styling, and specify its behavior. We'll iterate it for you.

Step 3

Export your component directly to VS Code with one click

Quickly add your generated component to VS Code with one simple click.

Step 4

Preview and launch your Tailwind component

Verify your component before adding it to your project. Iterate further using our VS Code plugin.

FAQ

Don’t see what you need? Check all the questions in our FAQ page.

What is Tailwind CSS autocomplete component?

Component is a UI element that provides suggestions while typing, making the input field more interactive. It enhances the user experience, integrates seamlessly, and can be easily customized using Tailwind class utility classes. The component is built to provide complete CSS for your CSS files, improving your Tailwind development experience by offering code completion. It can be used within input elements to display a search based result based on user input, helping speed up the development process with enhanced syntax highlighting. The component can also be customized with advanced features like custom behavior, and class names that are highlighted correctly to indicate valid options. If you are using Visual Studio Code, you can set up your config to better handle autocomplete behavior, preventing any potential error and ensuring the div components and elements are styled correctly with y auto for smooth scrolling. This example of a component shows how easily it can be tailored to your needs.

How to use vscode tailwind autocompletes?

To use VSCode Tailwind autocompletes, you first need to install the official plugin for Tailwind CSS, which helps with syntax highlighting for your CSS files. The plugin works in your IDE, allowing you to start typing Tailwind class names and receive suggestions. Hover previews of the resulting CSS also allow you to see the effects of each class, while helping you avoid potential bugs by offering correct class completions. This plugin will enable better productivity, automatically highlighting and providing class completions for both your CSS and markup file. Additionally, it works well with JavaScript and JSON files, providing query suggestions, and will be enabled by default when you set up the plugin. You can customize the value in your array of configurations, such as defining which page elements or classes are shown. You can also import settings from a file if you have a pre configured set, ensuring consistent functionality across your project. As a result, the plugin offers a smoother experience by managing your Tailwind classes, reducing the number of errors and simplifying your workflow.

How to style Tailwind autocompletes?

To style Tailwind autocompletes, use Tailwind class utilities like bg-white, text-gray-700, border, rounded, and shadow. Customize the autocomplete dropdown to have smooth transitions and optimize the user experience. Utilize text and background colors to highlight active suggestions, such as using text gray for default text and bg blue for selected items. You can also define input states like focus and hover, ensuring that the autocomplete's suggestion list appears as a smooth block that is displayed below the input element. Consider using cursor pointer to indicate clickable options and enhance interactivity. Additionally, in your root configuration, you can add an idea for organizing your classes more efficiently. For managing large data sets, you may use a clipboard feature to copy selected options. If you're working with a form, define each input element and structure them using a simple string format in your document. You can also use a command or a form submission to activate the autocomplete functionality based on user input, making the overall interaction seamless.

How to build Tailwind autocompletes using Purecode AI?

To create Tailwind autocompletes with PureCode AI, start by visiting the PureCode AI platform and inputting your specific project details. Choose Tailwind as your framework, then customize your design by selecting relevant components. After selecting your preferred variant, you can generate the code that suits your project. You can then easily preview the HTML output and copy the HTML code into your project to integrate the autocomplete feature. Additionally, configure settings like input size behavior, and make sure to apply customization options such as the width and height of the autocomplete. Once you're in the editor, you can test the integration and modify the object properties or adjust the settings as needed. You might want to create a function to handle the data and const values for managing the input. For debugging purposes, use log to output data and check for any issues, ensuring that the autocomplete is functioning as expected. If necessary, message notifications can be displayed for user feedback or errors during the integration process.