Skip to content
All tool news

Tool desk · Updated daily

Tool news·Claude·

Claude Opus 4.6 Powers Figma Make's Natural Language Software Builder.

Claude's Opus 4.6 model now drives Figma Make, enabling teams to build working software through natural language prompts.

CW

Create With tool desk

1 source checked · 2 min read · 2 sections

ShareLinkedIn
Claude Opus 4.6 Powers Figma Make's Natural Language Software Builder

Anthropic's Claude is the engine behind Figma Make, the design platform's experimental tool that transforms natural language prompts into working software prototypes. The integration now runs on Claude Opus 4.6, Anthropic's latest model release, which the company says delivers improved performance for code generation and technical tasks.

Figma Make, part of Figma's broader push into AI-assisted design workflows, allows teams to describe what they want to build in plain language rather than writing code directly. Claude interprets these descriptions and generates functional prototypes, handling everything from UI layout to basic application logic. The tool aims to bridge the gap between design intent and working software, letting designers and product managers test ideas without relying on engineering resources for every iteration.

What Claude Opus 4.6 Brings

The upgrade to Opus 4.6 marks a capability jump for the integration. Anthropic's latest model includes:

  • Enhanced reasoning for complex technical tasks
  • Improved code generation accuracy across multiple programming languages
  • Better context retention for multi-turn conversations about software requirements
  • Faster response times for iterative prototyping workflows

These improvements matter in practice because prototyping tools live or die on iteration speed. When a designer tweaks a requirement mid-conversation, the model needs to understand what changed and why without losing track of earlier decisions. Opus 4.6's extended context window and improved reasoning help maintain that thread.

Figma published a case study detailing how teams use the Claude-powered workflow, though the company has not disclosed user numbers or adoption metrics. The case study highlights scenarios where product teams used Make to test user flows, validate design concepts, and generate clickable prototypes for stakeholder demos, all without writing traditional code.

Competition in AI-Powered Prototyping

Figma Make competes in an increasingly crowded space. v0 by Vercel, Bolt, and Lovable all offer similar natural language to code capabilities, each backed by different large language models. Create With recently tested Claude Design against Figma Make and other tools, finding distinct strengths across platforms.

What sets Figma's approach apart is integration with the broader Figma ecosystem. Prototypes generated in Make can connect to design systems already built in Figma, pull in real component libraries, and export to formats that development teams actually use. That workflow integration matters more than raw model performance for many teams already embedded in Figma's design tools.

The timing of the Opus 4.6 integration aligns with Anthropic's broader push to expand Claude's enterprise footprint. The company recently made Opus 4.6 available to nonprofits at no additional cost and announced partnerships focused on deploying AI agents in telecommunications and financial services.

For teams evaluating AI prototyping tools, the Claude-Figma combination offers a familiar design environment with upgraded reasoning capabilities. The question is whether improved model performance translates to meaningfully better prototypes, or if the real bottleneck remains in how teams articulate requirements in natural language. Early case studies suggest both matter, but execution depends heavily on how clearly users can describe what they want to build.

Sources

1 checked

How we cover tool news: Create With's tool desk drafts these reports with AI from the sources listed above and checks them against those sources before publishing.

Worth passing on?

ShareLinkedIn

Go deeper on Claude

Related reading, watching and going.

Everything on Claude →

The briefing

21 Oct 2026

Stop Asking AI — Build Reusable Scripts to Save Tokens

Discover why asking AI to write small reusable scripts — not one-off replies — saves tokens, improves accuracy and privacy, and makes tools easy to reuse.

Read →

The briefing

13 Oct 2026

Jev - The System One AI That Never Writes a Word, Explained

Deep dive into Jev - TypeSafe's 'System One' model that outputs decisions, not text. Read how it works, real demos (driving), what it's good for and its limits.

Read →

The briefing

30 Sept 2026

Solo Consultant's AI Operating System Built on Markdown

London solo consultant uses an AI personal OS of markdown files—saving ~45% delivery time, boosting revenue 2.4×, and powering 33 community events for ~£250/mo.

Read →
36 min

Podcast

55. We're Back! Conference Recap, Running Events with AI & Self-Healing Apps

James and Kieran return to the Create With Podcast after their summer break to recap the 2026 Create With Conference in Brighton. They discuss how 550 attendees experienced workshops, a charity hackathon where functional apps were built in 30 minutes, and an innovative conference operating system built entirely with AI. The episode covers the latest developments in AI development tools including Anthropic's Fable model, scheduled tasks in Codex, and self-healing applications using PostHog.

Watch now ↗
39 min

Conference

The Biggest AI Opportunities for Non-Technical Builders in 2026

A closing panel discussion from Create With featuring leaders from Glide, Softr, Bubble, Momen, and TechFoundHer examining how AI and no-code platforms are democratizing software development. The panelists explore what non-technical builders can now create, how AI is transforming service businesses, and where expertise still matters when prototypes become production applications.

Watch now ↗
30 min

Conference

Everyone Can Build with AI. What Should Companies Do Next?

A leadership panel from Create With conference exploring how companies should approach AI adoption when building tools becomes accessible to everyone. Four experts debate the gap between technical capability and strategic judgment, discussing governance frameworks, safe experimentation, product sense development, and organizational learning pathways for AI transformation.

Watch now ↗

Latest tool news

What else changed this week.

All tool news

The Create With Briefing

Don't watch forty changelogs. Read one email.

Every Tuesday: the tool changes worth knowing, real business use cases, and what's on near you. Free, unsubscribe any time.