This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Context Bridge
Copy Figma frames as AI-ready implementation context
Copy Figma frames as AI-ready implementation context. Export layout, text, styles, tokens, semantic roles, component structure, and notes as a Compact Prompt, Full Prompt, or JSON for Claude Code, Cursor, Codex, ChatGPT, and other coding agents.
Hey everyone 👋
I built Context Bridge because I kept running into the same workflow problem.
When using Claude Code, Cursor, Codex, or other coding agents, I found myself repeatedly translating Figma frames into setup prompts before asking the agent to build anything.
The design already contained the information, but the context didn’t travel well.
Layout structure, hierarchy, semantic roles, token references, component relationships, and the little implementation details that usually live in your head all had to be re-explained manually.
Context Bridge is my attempt to close that gap.
It exports a selected Figma frame, component, instance, or component set as structured implementation context that can be pasted directly into AI coding workflows.
Current output formats:
• Compact Prompt
• Full Prompt
• JSON
It doesn't generate code and it doesn't call any external AI APIs. It simply packages the information already in your Figma file into a format that travels better.
This is a free beta and I'm especially interested in feedback from designers, design engineers, and frontend developers working with AI-assisted implementation.
What context do you still find yourself adding manually when working with coding agents?
No comment highlights available yet. Please check back later!
About Context Bridge on Product Hunt
“Copy Figma frames as AI-ready implementation context”
Context Bridge was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #149 on the daily leaderboard. Copy Figma frames as AI-ready implementation context. Export layout, text, styles, tokens, semantic roles, component structure, and notes as a Compact Prompt, Full Prompt, or JSON for Claude Code, Cursor, Codex, ChatGPT, and other coding agents.
Context Bridge was featured in Design Tools (260.7k followers), Developer Tools (514k followers) and Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 210.4k products, making this a competitive space to launch in.
Who hunted Context Bridge?
Context Bridge was hunted by Irem Harnak. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Context Bridge stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Irem Harnak