Understand this story
On October 29, 2026, Figma VP of Engineering Josh Clemm publicly presented the training method for Figma's design editing model, explaining that it shifted from supervised fine-tuning (SFT) to reinforcement learning (RL) and post-trained an as-yet-unreleased editing model based on Qwen 3.8 27B. He noted that early training with Llama 3.3 70B on more than 250,000 samples was enough to compete with top models on editing tasks at the time. The Figma agent is now available to all users; in testing it is about 20% faster on typical tasks, outperforms or matches the previous production agent in 62% of expert comparisons, receives 33% higher user ratings, and results in 60% fewer undo operations.
AI-generated from public reports
Latest development · Report
How Figma trained its design editing model: from SFT to RLDevelopments
1 confirmed developments
- Source:Figma AI / Agent / Make
Reports and discussion timeline
Browse reports and discussion by time. Their evidence levels remain distinct.
Oct 30
Figma AI / Agent / MakeFirst-party
How Figma trained its design editing model: from SFT to RL
Figma Vice President of Engineering Josh Clemm described the training method for its design editing model, moving from supervised fine-tuning (SFT) to reinforcement learning (RL), and post-training an as-yet-unreleased editing model based on Qwen 3.8 27B. In early work, training Llama 3.3 70B on more than 250,000 samples was enough to compete with top models on editing tasks at the time. The Figma agent is now available to all users; in testing, typical tasks are about 20% faster, in expert comparisons it was better than or on par with the previous production agent in 62% of cases, user ratings were 33% higher, and undo operations were 60% fewer.