Reading Time: 2 minutes Discover 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 minutes The 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 minutes When 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: 2 minutes Short 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: 3 minutes AI and LLM code generation typically suffer from Privacy and Security issues, particularly with Enterprise users. Frontier is a VSCode that generates code through LLMs, which uses local AI models in order to firewall the user's data and codebase from being exposed to the LLM. This unique approach isolates the codebase and ensures compliance and inter-developer cooperation without compromising the security of the code repo.
Reading Time: 3 minutes Ofer'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!
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