How to Design and Code with Claude Code and Figma MCP in 50 Min | Felix Lee

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Today's top 13 insights for PM Builders, ranked by relevance from X, Blogs, and YouTube.

How to Design and Code with Claude Code and Figma MCP in 50 Min | Felix Lee

#1 ▶️

How to Design and Code with Claude Code and Figma MCP in 50 Min | Felix Lee

Peter Yang

Felix Lee demonstrates using Claude Code (Opus 4.5) in the Cursor IDE with Figma MCP to convert a Figma landing page design into production-ready code in under 15 minutes.

  • Implemented a Figma landing page via Claude Code within Cursor and Figma MCP, adding form submit states, fixing a missing logo, and making a PDF “book” component sticky—all in just 15 minutes.
  • Built an interactive ADP List “rep globe” in roughly 12 hours by exporting 2025 AWS booking data as CSV and prompting Claude Code with a Shopify globe screenshot to generate an SVG-based globe without external 3D assets.
  • Generated a browser-based Flappy Bird game in minutes by feeding a FigJam flowchart into Claude Code through Figma MCP, auto-producing the HTML, CSS, and JavaScript files with live score tracking.

#2 📝 Simon Willison

Experimenting with Starlette 1.0 with Claude skills - Simon explores Starlette 1.0, noting its importance as the foundation of FastAPI and demonstrating experiments using Claude skills to work with Starlette. The long-form post (1,194 words) discusses Starlette's release and Simon's hands-on experimentation.

#3 𝕏

Jason Zhou hails Chrome’s new remote debugging feature as GOLD—skip CAPTCHAs and re-logins to directly run agent tests with your own auth, best used with Chrome DevTools MCP.

#4 𝕏

Boris Cherny shows that Anthropic’s Claude AI can update its own settings on the fly. Just ask it to disable specific behaviors or add new preferences directly into your dev workflow.

#5 𝕏

Guillermo Rauch says real performance optimization starts by measuring hidden side effects—deep syscalls, network I/O, and other system metrics—not visible in the code, and that only production-derived data can reveal the system’s true behavior.

#6 📝 Simon Willison

DNS Lookup - Simon discovered Cloudflare's CORS-enabled JSON API for 1.1.1.1 and had Claude Code build a UI to query Cloudflare's resolvers (1.1.1.1, 1.1.1.2, 1.1.1.3). The tool is available at tools.simonwillison.net/dns.

#7 𝕏

Santiago notes that billions of dollars in R&D are being invested in AI-driven UI innovation and spotlights Shadify—a generative UI tool built on ShadCN, LangChain, and CopilotKit for AI-generated React interfaces.

#8 📝 PromptLayer Blog

The Antidote Is Soul - A reflection on differentiation in the age of polished, agent-driven UIs — arguing that many digital experiences have become homogenized and lack soul. The post critiques the sameness of modern SaaS design and calls for more distinctive, human-centered experiences.

#9 𝕏

Teresa Torres highlights Medable’s shift from e-consent and electronic assessments to agentic AI, reimagining clinical operations to accelerate the over-10-year drug development cycle and overcome patient access barriers.

#10 𝕏

Santiago argues that AI agentic coding workflows require a clear plan—or they just become “vibe-coding” with needless extra steps.

#11 ▶️

The art of influence: The single most important skill left that AI can’t replace | Jessica Fain

Lennys Podcast

Product managers train a custom GPT on past product review transcripts and query Slackbot to anticipate CPO Rachel Woolen’s feedback and refine their PRDs.

  • Ingested publicly available transcripts from past product reviews with Rachel Woolen into a GPT model to forecast where she will push back and highlight idea weaknesses.
  • Used Slackbot queries such as “What has Rachel been posting about lately?” to surface her current priorities, board pressures, and success criteria.
  • Ran draft PRDs through the custom GPT to receive automated feedback on potential executive concerns before formal product review meetings.

#12 𝕏

There's An AI For That showcases a new AI that converts any image into an interactive 3D scene and lets you iteratively zoom in and issue fresh prompts at each level. This recursive zoom-and-generate feature enables endlessly deep, user-guided refinements.

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