GenAI - Anima Blog

Generative code: how Frontier solves the LLM Security and Privacy issues

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.

June 5, 2024 3 min
Pluggable Design System - in Figma

Pluggable design system – Figma to your design system code

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 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.

July 2, 2024 3 min
Frontier - Guard rails for LLM

Guard rails for LLMs

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.

July 4, 2024 3 min

GenAI Figma to Code: 6 Examples of how to use Anima’s new AI Code Customization

Reading Time: 5 minutes Anima's latest innovation, GenAI code personalization within Figma, is game-changing for front-end developers. This feature introduces a layer of customization that speaks directly to the developer's style and technical requirements. Let’s see how Anima’s GenAI helps you add code conventions, styles, behaviors, and animations.

February 20, 2024 5 min