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Why I stopped prototyping in Figma
- The article discusses the shift from prototyping in Figma to a new AI-powered approach that involves prompt-to-code tools like Lovable, v0, and Cursor.
- The author shares their experience of moving from pixel-perfect Figma prototypes to a faster method that involves engineering early in the process.
- By using tools that generate specs and code based on prompts, the author was able to create working React prototypes in hours, eliminating static files and handoff debates.
- The new approach saved time, reduced maintenance costs, and allowed for quicker iteration and feedback from users.
- The importance of focusing on impact over appearance is highlighted, along with the benefits of involving engineers from the beginning of the design process.
- The article emphasizes the shift towards prompt-to-code tools like Lovable, v0, and Cursor, which enable designers to move from prompt to running code in a matter of hours.
- The benefits for designers include more time for user interaction, quicker idea testing, and faster code deployment.
- The risks involved in the new approach are discussed, such as security issues in early prototypes, brand drift, and prompt inconsistency, along with the corresponding fixes.
- The adoption path for teams transitioning to the new method is outlined, starting with internal tools and gradually moving towards more complex features.
- The article concludes with steps on how to make the switch to the prompt-to-code approach, starting with sketching the flow, generating a spec, and building using tools like Lovable, v0, or Cursor.
- Overall, the article showcases the potential of AI-powered workflows in transforming the design process to create live, testable products more efficiently.
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