What should be done at the moment when a portion of the code appears to be incorrect?

Kombai, being a generative model, deviates significantly from rigid rule-based boundaries. Occasionally, it may generate inaccurate results, especially in the following conditions: • the design is ambiguous, signifying an insufficiency of visual cues to enable Kombai to confidently deduce the correct inferences; • there are "unnatural" deviations in the visual elements of the design, such as spacing and alignment, exceeding the fault tolerance of the models by a significant margin; Such instances may prompt you to utilise the application's "regenerate button" to attempt code regeneration. If that fails as well, an alternative approach is to employ "design prompt engineering" to influence the model, analogous to how engineer texts are prompted to guide ChatGPT or Claude. This guide contains additional information and examples.

Which frameworks and languages for the front end does Kombai support?

Kombai generates React and HTML + CSS codes at this time. You may also select whether the CSS output is rendered in tailwind or conventional CSS. A number of our initial users have also managed to utilise Kombai with frameworks other than React, such as Vue, Svelte, Angular, and Django, by minimally modifying our HTML + CSS output to match their framework of choice. ChatGPT is generally competent at porting code generated by Kombai to alternative frameworks or programming languages.

Do you mean to imply that the code output of Kombai does not originate from a publicly available model or an LLM?

Yes. Due to the inability of current LLMs/GenAI models to comprehend UI designs, the past fifteen months have been devoted to developing and training models from the ground up. While certain portions of the code are improved using public LLMs, more than 95% of Kombai's code output is generated by purpose-built models.

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Kombai

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Kombai is an AI-driven application that converts Figma designs into high-quality front-end code, streamlining the development handoff process and saving time for designers and developers.

Key AI Functions:design generators,misc tools

Description for Kombai

Kombai is an AI-powered application designed to seamlessly convert Figma designs into high-quality front-end code. This tool enhances the efficiency of the development handoff process, saving valuable time for both designers and developers. With Kombai, manual translation is eliminated, offering a cutting-edge solution for converting designs to code.

Features of Kombai:

One-Click Conversion: Generate high-quality UI code from Figma designs with a single click per component.
Automatic Generation: Produces React components and logical division structures with class and component-like names.
Effortless Flex Management: Utilizes CSS for flex management, including justify-content, align-items, gap, and margin, without hardcoded dimensions.
Dynamic JavaScript Code: Generates high-quality, easily replaceable JavaScript code with loops, conditions, and mock data.
Functional Form Elements: Includes functional components for switches, inputs, buttons, and selectors.
No Explicit Design Setup: Requires no specific grouping, labeling, or naming of design elements, relying on developer perception.
Deep Learning and Heuristics: Uses a collection of models to interpret UI designs and compute precise front-end code.
Modernization: Produces code suitable for contemporary, responsive applications.
Adaptability: Accommodates diverse UI elements without specific configurations.
Accuracy: Ensures precise code generation using deep learning and heuristics.
Quality Standards: Adheres to quality standards with logical structures and human-readable identifiers.

Pricing for Kombai

Use Cases for Kombai

Web Developers: Efficiently transform Figma designs into high-quality front-end code, saving time and reducing defects from manual coding.

UI/UX Designers: Optimize the design-to-code handoff process to ensure accurate conversion of design intentions into functional code.

Startups: Expedite development by automating the transformation of design prototypes into modern, responsive web applications.

Design Agencies: Improve collaboration between development and design teams, enhancing project turnover times and efficiency.

Freelancers: Use AI to handle the tedious tasks of converting designs to code, increasing efficiency and allowing more focus on creative and complex endeavors.

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