Figma Make: My WORST Vibe Coding Experience Yet! #shorts
Why It Matters
Figma Make’s shortcomings highlight the risk of relying on immature AI design tools, urging enterprises to prioritize proven solutions to avoid costly product delays.
Key Takeaways
- •Figma Make failed to extract website context for redesign
- •Competing AI tools like Replit and Vzero delivered better results
- •The tool's poor performance raises doubts about AI-driven web design
- •Large firms face existential risk adopting unreliable low‑code AI solutions
- •Speedy weekly releases outpace traditional 3‑6‑month R&D cycles
Summary
The video is a candid rant about the author’s first real encounter with Figma Make, an AI‑driven "vibe coding" platform that promises to redesign websites automatically. After six months without using any similar tool, the creator tried Figma Make on a simple test site and found it completely unable to recognize the page, delivering a result he described as "terrible" and "undesigned.
He contrasts this failure with other emerging AI coding services—Replit, Lovable, Vzero—that managed to generate usable redesigns for the same prompt. The speaker also notes that Figma Make performed worse than older solutions like Base44, underscoring a broader gap between hype and functional capability in the nascent AI‑web‑design market.
Memorable lines include, "It didn't even know it was on my website," and a rhetorical jab at larger platforms: "If Figma Make can't pick up context, what hope is there for Squarespace?" He expands the critique to a strategic level, warning that many public and private companies face an existential crisis if they cannot integrate reliable low‑code AI tools into their product pipelines.
The takeaway for investors and product leaders is clear: while AI‑assisted design tools are proliferating, their maturity varies dramatically. Companies must rigorously vet these solutions before committing resources, as premature adoption could stall development cycles and erode competitive advantage.
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