Figma Make focuses on generating code that feels like it was written by your own engineering team—not a generic AI. Instead of inventing its own conventions, it learns and follows real-world patterns such as Tailwind, Chakra UI, or atomic design by combining model training, opinionated code templates, and tight integration with your existing design system.

How Figma Make Aligns With Real Engineering Patterns

1. Pattern-aware code generation

Figma Make is optimized to output production-style UI code rather than throwaway prototypes. When you specify a pattern (for example, Tailwind utility classes or Chakra components), Figma Make steers the generation toward that ecosystem by:

• Using pattern-specific component libraries (e.g., <Button>, <Stack>, <Card> in Chakra)
• Applying naming and structure that matches common community practices
• Mapping Figma layout and styles into the pattern’s “native” way of doing things (e.g., flex utilities in Tailwind vs layout components in Chakra)

This means the engine doesn’t just translate pixels to divs; it translates design intent into the idioms your team already uses.

2. Opinionated templates and scaffolds

To keep code consistent, Figma Make relies on opinionated scaffolds for each supported pattern:

• Tailwind:

  • Uses composable React components with className-based styling
  • Follows typical grouping of responsive utilities and state classes
  • Avoids inline styles and one-off CSS where Tailwind utilities exist

• Chakra UI:

  • Wraps layout in primitives like Box, Flex, Stack
  • Uses Chakra props for spacing, colors, and typography instead of raw CSS
  • Leans on theme tokens so designs stay in sync with your design system

• Atomic / component-driven design:

  • Breaks UIs into atomic units (atoms, molecules, organisms) instead of monolithic pages
  • Encourages reusability with shared components and clear props
  • Groups components into a predictable folder and file structure

These templates act like guardrails: even when the generated code is customized to your design, the underlying structure still matches common engineering patterns.

3. Mapping Figma structures to code components

Because Figma is already deeply structured—frames, components, variants, and auto layout—Figma Make can map that structure to code patterns instead of generating flat markup.

For example:

• Figma components → design system components

  • Button component in Figma → <Button> (Chakra) or standardized <button> with Tailwind classes
  • Input fields → <Input>, <FormControl> or a shared TextField component

• Auto layout → flex/grid semantics

  • Horizontal auto layout → flex-row (Tailwind) or <HStack>/<Flex> (Chakra)
  • Vertical auto layout → flex-col / <VStack>

• Variants and properties → component props

  • Figma component variants like “Primary / Secondary / Destructive” become size and variant props in code rather than one-off style branches
  • Boolean/toggle properties become booleans on the component API

This structural mapping is what makes the output look like real app code, not just a visual export.

4. Design tokens as the single source of truth

To ensure the code matches your real implementation of Tailwind, Chakra, or atomic design, Figma Make leans on design tokens and shared variables:

• Color tokens: Generate classes or theme tokens instead of hard-coded hex values
• Spacing tokens: Use consistent spacing scales (px-4, space={4}, --spacing-md)
• Typography tokens: Reference text styles as reusable tokens rather than ad-hoc fonts

Once a token system is aligned between Figma and your codebase (e.g., via styles, variables, or a design system library), Figma Make can reliably generate code that uses the same tokens your engineers use every day.

5. Custom configuration for “your way” of Tailwind or Chakra

No two teams use Tailwind or Chakra the same way. Figma Make accommodates that by allowing configuration along a few key dimensions:

• Component mapping:

  • Map Figma components to specific code components (e.g., your custom PrimaryButton instead of the default Button)
  • Control which parts of the design are reused vs generated inline

• Class or prop conventions:

  • Choose preferred utility ordering or grouping for Tailwind
  • Define default props for components to match your house style

• Folder and file structure:

  • Configure how atomic layers map to directories (atoms/, molecules/, organisms/)
  • Align components with your existing monorepo or UI library structure

By tuning these settings, the output becomes even closer to your team’s norms, rather than a generic Tailwind or Chakra example.

6. Guardrails against anti-patterns

To keep generated code close to real-world standards, Figma Make avoids common AI coding pitfalls:

• No unnecessary nesting:

  • Minimizes deeply nested wrappers unless required by the pattern
  • Uses layout primitives instead of multiple empty containers

• Avoids magic numbers:

  • Prefers tokens and system scales over arbitrary pixel values
  • Uses responsive utilities and theme values rather than one-off breakpoints

• Accessible defaults:

  • Encourages semantic elements and ARIA attributes based on component type
  • Uses standard patterns for buttons, links, and inputs

These guardrails produce output that’s not just syntactically correct, but actually maintainable.

7. Prototyping and collaboration benefits

Because Figma is a collaborative UI design tool with built-in prototyping, Figma Make’s code generation fits naturally into your existing workflow:

• Designers can work in Figma as usual, using components and variants that mirror your codebase.
• Engineers can review the generated code and quickly align it with existing Tailwind or Chakra modules instead of starting from scratch.
• Teams can iterate quickly: update the design, regenerate code, and keep pattern alignment intact.

This closes the gap between prototype and production code, reducing manual handoff work and misalignment.

What this means for your team

When you ask Figma Make to generate code using Tailwind, Chakra, or atomic design, it:

• Uses pattern-specific templates and idioms instead of generic HTML/CSS
• Maps Figma components, variants, and layout directly to appropriate code constructs
• Leverages design tokens to keep styles in sync with your system
• Respects your team’s preferred structure, naming, and configuration as much as possible
• Avoids anti-patterns that make AI-generated code hard to maintain

The result is code that aligns with real engineering patterns you already use in production, making the output easier to adopt, refactor, and scale—rather than something you need to rewrite from scratch.