Figma is partnering with Anthropic and launching Code to Canvas, a feature that converts code generated in AI tools like Claude Code into fully editable designs inside Figma. Users who build working interfaces by prompting an AI agent can bring that interface straight into Figma’s canvas.
Figma announced the feature Tuesday. It links AI coding tools with Figma’s workflow so teams can refine the design, compare options side by side, and align on design decisions. Figma is betting that agentic coding tools like Claude Code have not eliminated design. The risk is that Figma is creating a better on-ramp to a highway it no longer controls.
Code to Canvas turns AI-produced interface code into designs teams can adjust inside Figma. You build an interface with Claude Code, then bring it into the canvas and keep working.
Anthropic makes Sonnet 4.6 the default in Claude and Cowork
On Tuesday, Anthropic rolled out Claude Sonnet 4.6 and said it is better at using computers, coding, design, completing knowledge work tasks, and processing large amounts of data. For Anthropic Free users and paid Pro users, Sonnet 4.6 now serves as the default within the Claude chatbot and the Claude Cowork productivity tool.
The press release said: “Claude Sonnet 4.6 is our most capable Sonnet model yet. It’s a full upgrade of the model’s skills across coding, computer use, long-context reasoning, agent planning, knowledge work, and design. Sonnet 4.6 also features a 1M token context window in beta.”
It also said: “For those on our Free and Pro plans, Claude Sonnet 4.6 is now the default model in claude.ai and Claude Cowork. Pricing remains the same as Sonnet 4.5, starting at $3/$15 per million tokens.”
The company said improved consistency and instruction following made developers with early access prefer Sonnet 4.6 over Sonnet 4.5 by a wide margin. It also said they often preferred it to Claude Opus 4.5, the company’s smartest model from November 2025.
“The model certainly still lags behind the most skilled humans at using computers. But the rate of progress is remarkable nonetheless. It means that computer use is much more useful for a range of work tasks—and that substantially more capable models are within reach.”
-Anthropic
Sonnet 4.6 tests allegedly show 70% preference for users, says Anthropic
Anthropic said that in Claude Code, early testing found users preferred Sonnet 4.6 over Sonnet 4.5 about 70% of the time. Users reported that Sonnet 4.6 read the context before modifying code and consolidated shared logic rather than duplicating it.
“Users even preferred Sonnet 4.6 to Opus 4.5, our frontier model from November, 59% of the time. They rated Sonnet 4.6 as significantly less prone to overengineering and “laziness,” and meaningfully better at instruction following. They reported fewer false claims of success, fewer hallucinations, and more consistent follow-through on multi-step tasks,” said Anthropic.
Sonnet 4.6’s 1M token context window can hold entire codebases, lengthy contracts, or dozens of research papers in a single request.
The company pointed to the Vending-Bench Arena evaluation, which tests how well a model can run a simulated business over time, and it includes competition where models face off to make the biggest profits. Sonnet 4.6 invested heavily in capacity for the first ten simulated months, spending significantly more than competitors, then pivoted sharply to focus on profitability in the final stretch. The timing of the pivot helped it finish well ahead of the competition.
On safety, Anthropic said it ran extensive evaluations and found Sonnet 4.6 to be as safe as, or safer than, other recent Claude models. Its safety researchers said Sonnet 4.6 has “a broadly warm, honest, prosocial, and at times funny character, very strong safety behaviors, and no signs of major concerns around high-stakes forms of misalignment.”
Beyond computer use, Anthropic said Sonnet 4.6 improved on benchmarks across the board and approaches Opus-level intelligence at a price point that makes it practical for more tasks. It said the system card covers capabilities and safety-related behaviors, with a summary, a comparison to other recent models, and a table of popular benchmark results.
Early customers reported broad improvements, with frontend code and financial analysis standing out. Customers described visual outputs from Sonnet 4.6 as more polished, with better layouts, animations, and design sensibility than previous Sonnet models. They also said they needed fewer rounds of iteration to reach production-quality results.
