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🎨 Anima vs. Figma Make – Which Vibe Coding Platform Wins? 🤖 In this hands-on comparison, we test Figma Make (announced in beta at Config 2025) against Anima, two vibe coding platforms that turn Figma designs into production-ready apps using AI. We use the same landing page, apply identical prompts, and analyze how each platform handles edits, preserves structure, and outputs code. 👨💻 Spoiler: Only one of them respects the integrity of your design. 💥 Learn why "diffs" matter—and how regenerating from scratch can break your page. 🔍 Chapters 00:00 – Intro: Comparing Figma Make (Beta) vs. Anima 00:17 – Importing the landing page into Figma Make 00:36 – Figma says it’s a “complex design”? Let’s test it 00:47 – Initial impressions and speed 00:54 – Reviewing the imported design in both tools 01:07 – Applying the same edits (tabs + carousel) 01:34 – Anima responds quickly, with partial success 01:40 – Figma Make struggles, we add more prompts 02:01 – Figma finally responds, but drops most of the page 😬 02:27 – Anima preserves the full structure 02:42 – Why "diffs" are important in vibe coding 03:13 – Figma Make rewrites too much = hallucinations 03:31 – Let’s look at the code difference 03:51 – Figma’s code: One massive, messy file 03:58 – Anima’s code: Modular, sectioned by functionality 04:28 – Developer-friendly structure + better diffs 04:50 – Wrap-up: First impressions and what we learned 💡 Key Takeaways Anima uses targeted code updates (diffs) to avoid hallucinations Figma Make often regenerates full pages, risking hallucinated changes Modular code output matters for real-world dev handoff Not all vibe coding tools are created equal 👉 Whether you're a designer, PM, or engineer, this video helps you decide which AI workflow fits your needs. 👍 Like, comment, and subscribe for more deep dives into design-to-code platforms and vibe coding best practices. #FigmaMake #AnimaApp #VibeCoding #FigmaToCode #AIUI #FrontendAI #Config2025