Reading Time: 2 minutesFrontier's Smart Code Optimizer is here to speed up your development process with two powerful new features: Component Identification through Visual Analysis and Advanced Code Cleanup. These tools will streamline your workflow, saving you time and ensuring your code is clean, readable, and functional from the start. Let’s explore how these new features can transform your coding experience.
Reading Time: 3 minutesWhen we created Frontier, we didn’t want to stick to just one coding design system. MUI, for example, is a very popular React Design System, but it’s one of <very> many design systems that are rising and falling. Ant Design is still extremely popular, as is the TailwindCSS library. We’re seeing the rapid rise of Radix based component libraries like ShadCN as are Chakra and NextUI.
Reading Time: 5 minutesAlthough the concepts of product design and development have become increasingly similar, we still have two sources of truth — Design and Code. Anima is here to automate design-to-code with AI, freeing developers and designers to create and build digital products faster.
Reading Time: 2 minutesShort answer: Yes! Frontier will generate client components by default, when it detects NextJS. This is done by adding the ‘use-client’ statement at the beginning of the component declaration.
Reading Time: 2 minutesThis feature enhances your ability to seamlessly integrate generated code from Figma into your existing projects, saving time and reducing the need for manual copy-pasting.
Reading Time: 2 minutesFrontier, our innovative coding assistant, is designed to seamlessly integrate newcomers into the development process, making the transition smooth and efficient.
Reading Time: 2 minutesDiscover how Frontier optimizes front-end code generation with advanced LLM techniques. Explore our solutions for balancing speed and quality, handling code isolation, overcoming browser limitations, and implementing micro-caching for efficient performance.
Reading Time: 3 minutesThe conclusion is that you cannot ignore hallucinations. They are an inherent part of LLMs and require dedicated code to overcome. In our case, we provide the user with a way to provide even more context to the LLM, in which case we explicitly ask it to be more creative in its responses. This is an opt-in solution for users and often generates better placeholder code for components based on existing usage patterns.
Reading Time: 3 minutesOfer's piece delves into the evolving role of AI in front-end development, debunking myths about replacing human developers. Share your thoughts with us too!
Reading Time: 4 minutesFrontier is the first AI coding assistant tailored for Front-end development. It quickly analyzes your entire codebase, mapping your design system, frameworks, conventions, and components locally for maximum security. Using Anima’s advanced design-to-code engine, turn design into React, using your existing components.
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