Figma’s Make enhances design-to-prototype pipeline amid AI app-builder landscape shifts

Figma’s Make tool emerges as a refined option for teams with existing design assets, offering streamlined prototyping within its ecosystem, but faces limitations compared to full-stack app builders like Lovable and v0 in a competitive AI-driven market.

Figma’s Make feature has arrived in the middle of a crowded wave of AI app-builders, but its appeal is narrower and, for some teams, more useful than the headline hype suggests. Salesdorado’s review argues that the key question is not whether Make is “better” than Lovable or v0, but where a project begins. If a team already has Figma mock-ups and a shared design system, Make can turn those assets into a working prototype with far less friction than tools that only interpret screenshots or prompts. If it starts from a blank page, its advantage shrinks sharply.

That distinction matters because the current market has split into two broad camps. TechRadar’s coverage of v0 describes it as a prompt-driven tool aimed at fast front-end generation, while its Lovable review presents that platform as a fuller app-building environment with backend support, hosting and integrations. A comparison from GPTPrompts reaches a similar conclusion: Figma Make is strongest as a design-to-prototype bridge, whereas Lovable is built more for prompt-to-app workflows. In practice, that means the tools overlap, but they are not interchangeable.

Salesdorado says Make’s main technical edge is native access to Figma files, libraries and component metadata. That gives it a clearer view of spacing, typography, colours and reusable elements than rivals that have to infer intent from an image. The result is tighter visual consistency and a prototype that more closely reflects the source design. The same review notes that users can edit specific elements directly, push output back into Figma Design and publish a prototype to a figma.site address with a single click. It can also connect to Supabase when a project needs real accounts or data.

The most practical use cases are in commercial teams rather than software teams. Salesdorado highlights customised sales demos, test landing pages, lead calculators and internal tools as the strongest examples. A sales team with existing mock-ups can create account-specific demos quickly, while marketers can build and compare landing page variants without waiting for a developer. For lead generation, interactive pricing tools and return-on-investment calculators are especially useful because they can be built and tested in one session.

Cost is where the story becomes more complicated. According to Salesdorado, Figma tightened its AI credit policy in March 2026, ending the earlier assumption that Make was effectively unlimited inside a subscription. Usage now draws from monthly credit pools that vary by licence type, and heavier tasks can consume credits quickly. The review says Make cannot be bought as a standalone product, so users have to work within Figma’s wider plans. For teams already paying for full licences, that may still be efficient. For anyone subscribing only to use Make, the economics are less compelling.

The limits are equally important. Make is designed for prototyping and sharing, not for fully finished production software. Salesdorado notes that hosting is tied to a figma.site subdomain and that the generated code is not meant to be dropped straight into a development workflow. Lovable still looks stronger for end-to-end app building, especially when a non-technical user wants backend, authentication and deployment handled in one place. TechRadar similarly presents v0 as a strong option for developers who want clean interface output rather than a complete app stack.

Security is another constraint on the whole category. Salesdorado cites Stanford research showing that most AI-generated applications contain at least one exploitable vulnerability. That does not make these tools unsuitable for demos or internal tests, but it does mean they should not be treated as production-ready for sensitive customer data without technical review. The practical verdict is simple: Figma Make is best when a company already lives in Figma and wants to move from design to credible prototype as quickly as possible. For everyone else, Lovable or v0 may still be the better starting point.

Disclaimer: This content is intended for informational purposes only. Readers are advised to exercise their own judgement, conduct due diligence, or consult a qualified expert before acting on any information provided.