gen‑ai.news
← Back
Multimodal

Figma now has AI motion graphics and shader tools

Figma now has AI motion graphics and shader tools

Figma announced a series of product updates at its Config 2026 conference, focusing on closing the gap between visual design and code. The centerpiece of the announcement is a reimagined canvas that Figma says is optimized for full-stack development, consolidating teams, AI agents, and design materials into a single working environment.

Among the more immediately practical additions are coding layers, which allow designers and developers to edit the underlying code of a project directly within the Figma Design canvas. This removes the need to jump between Figma and a separate code editor for minor adjustments - a workflow interruption that has long been a friction point for teams working across design and engineering.

On the generative side, Figma has introduced AI-powered motion graphics tools that let users create animations and transition effects by describing them in plain language through a chatbot interface. Alongside this, new shader tools offer additional options for visual effects work. Both features extend Figma's existing AI capabilities, which have gradually expanded over the past couple of years to cover layout suggestions, asset generation, and now motion and code.

The announcements position Figma more directly as a full-stack product environment rather than a purely visual design tool. As the line between design and development continues to blur, particularly with AI agents taking on more implementation tasks, consolidating these workflows into one canvas could meaningfully change how cross-functional teams collaborate and ship products.

Enjoy this story? Get the next one in your inbox.

Twice a week: the most important stories in generative image and video AI, distilled into a 2-minute read.

Free. Unsubscribe any time. No spam, ever.

Your next read

Twitch streamers can now opt out from training Amazon’s AI
Multimodal

Twitch streamers can now opt out from training Amazon’s AI

Twitch has introduced an opt-out setting that lets streamers prevent their content - including streams, VODs, clips, chat logs, and channel images - from being used to train Amazon's generative AI models. The control applies to future training only and covers AI systems designed to generate or synthesize text, audio, images, or video. Non-generative AI features such as captions and safety tools are unaffected by the setting.

Claude will apply invisible watermarks to AI text and images
Multimodal

Claude will apply invisible watermarks to AI text and images

Anthropic has announced plans to embed invisible watermarks into text and images produced by Claude, making it easier for platforms and users to identify AI-generated content. The move is tied to European regulatory requirements around AI transparency. The changes are not yet live, but represent a formal commitment from the company.

No image
Multimodal

Meta is back with Muse Glimmer: local, agentic, multimodal, and open source

Meta has released Muse Glimmer, an open-source multimodal AI system designed to run locally and operate with agentic capabilities. The model combines image understanding and generation with the ability to take multi-step actions, all without requiring a cloud connection. It marks Meta's latest push into accessible, on-device generative AI tools.