Gemini 3 is the latest state-of-the-art LLM from Google. It is not just an incremental update it’s a radical shift toward an agentic-first experience. The model is optimized for multimodality and long-horizon planning. In other words, it doesn’t just answer prompts better; it can think, plan, and act more autonomously across different modalities.
At Figma, we believe AI’s role is to help teams explore and imagine more. Every new model we bring to our platform gets evaluated through the same lens: Does it implement your designs with accurate fidelity? Does it take more of the busywork off your plate? Will it expand your team’s creative possibilities?
It’s amazing to see how quickly web developers have adopted artificial intelligence (AI) apps. Many have added this technology to their workflow and haven’t looked back.
The average base salary for a UX designer in San Francisco ranges from $95,000 per year for Junior talent to $141,000 per year for Senior talent. The median salary is $145,000. The highest reported salary is $515,000, offered by Netflix, for a UX Designer, Live Event Operations & Production XD. The average additional cash compensation is $17,625.
Artificial Intelligence (AI) has become the foundation of modern digital experiences. In web design and development, AI refers to intelligent algorithms and systems that can learn from data, make predictions, and automate complex processes. From chatbots that provide instant support to design tools that automatically generate layouts, AI is reshaping how websites are built and experienced.
Web professionals use WordPress because of its infinite flexibility. We can build virtually any type of website. Everything is possible when it comes to looks and functionality.
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Generative UI is evolving at lightning speed, and nowadays we can achieve impressive results simply by asking AI tools to generate UIs for us. And the great thing is that you don’t need to switch from ChatGPT to any other tool to generate UI.
Maybe you’ve gotten comfortable writing prompts or using simple one-click tools. But as AI interfaces start to take different forms, many of them are still kinda hard to figure out. Navigating them can be overwhelming. It doesn’t feel like you’re using these products so much as deciphering them. The engineering is powerful, but the flows don’t make sense.
I’ve written quite a lot recently about how I prepare and optimise SVG code to use as static graphics or in animations. I love working with SVG, but there’s always been something about them that bugs me.
