Rise of the vibe designgineer
Reading Time: 3 minutesExplore the rise of vibe coding and the emerging role of the 'vibe designgineer'—how designers, PMs, and engineers are using AI tools to build functional products without writing code.
Reading Time: 3 minutesExplore the rise of vibe coding and the emerging role of the 'vibe designgineer'—how designers, PMs, and engineers are using AI tools to build functional products without writing code.
Reading Time: 4 minutesAnima API bridges Figma and coding AI agents, delivering pixel-perfect, production-ready code in React, HTML, and Tailwind. Power vibe coding platforms, prototypes, and automation tools with the same engine trusted by 1.5M Figma users.
Reading Time: 4 minutesFrustrated with vibe coding errors or LLMs ignoring your prompts? Learn 7 practical tips to avoid hitting walls when building with AI—from smart prompting and context management to saving progress and choosing the right tech stack.
Reading Time: 3 minutesDiscover how AI agents are reshaping design platforms through Agent Experience (AX), enabling automation, collaboration, and innovation for designers and product managers.
Reading Time: 6 minutesExplore the evolving challenges of bridging design and code as companies scale. Learn how design systems, Figma integrations, and AI tools like Anima's Frontier can address design drift, documentation gaps, and onboarding hurdles, creating a seamless collaboration between designers and developers.
Reading Time: 4 minutesDiscover essential strategies for modernizing your frontend in 2025. Learn how component-based architectures, design systems, edge rendering, microfrontends, and tools like Anima and Frontier by Anima can future-proof your web and app development, enhancing scalability, security, and performance.
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 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: 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: 3 minutesAI 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 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!