Digital design has crossed the point of no return. What was once a manual process has transformed into a strategic flow of agent direction. In this new ecosystem, a debate is emerging that is dividing the industry: Figma Make vs Pencil.dev.
It’s not just about choosing a tool, but about deciding which philosophy your workflow will adopt. While AI design in Figma seeks to enhance visual creativity without leaving its vector environment, Pencil.dev proposes a code-native disruption that promises to forever eliminate the handoff barrier.
In this article, we analyze how web design with artificial intelligence is redefining the role of the designer and which of these platforms is key to scaling the creation of your next website in Figma toward the future of Vibe Coding.
The web design revolution with artificial intelligence: From tools to agents
AI design is no longer a simple feature but has become the core of the creative workflow. We are no longer dealing with passive tools that await an order; we are in the era of design agents.Web design with artificial intelligence used to be limited to generating isolated images or color palette suggestions. However, with the arrival of ecosystems like Figma Make and Pencil.dev, the situation has radically changed:
- The designer no longer spends hours on mechanical tasks such as manually adjusting auto-layouts or creating component states. They now validate the proposals of the AI agents and adjust the strategic direction of the product.
- The tools allow several specialized agents to work in parallel (one on the structure UX, another on the visual style, and another on accessibility), reducing prototyping time from days to minutes.
- By using Figma design integrated with advanced language models, the designer defines the tone, purpose, and system constraints, allowing the AI to execute the interface with pixel precision.
This transition to AI web design does not eliminate the need for human talent; on the contrary, it elevates it. The capacity for technical and aesthetic thought is now the critical filter that separates a generic design from a unique user experience.
Evolving design with Figma Make using natural language
The most disruptive update from the industry-leading platform has arrived under the name Figma Make. It is no longer just a vector drawing tool; it is an ecosystem that allows for web design with Figma using exclusively natural language.
This evolution is a response to reducing the time that product teams dedicate to initial low-fidelity phases. By integrating generative capabilities directly into the editor, web design becomes more fluid, allowing creativity not to be halted by the technical friction of creating layers or manually configuring constraints.
How to use Figma’s AI to generate components and layouts
Learning to master AI design within this environment requires a shift in mindset. The “Make a Design” function allows the tool to generate a complete interface structure from a simple phrase.
- Smart layout generation: When you request a design, Figma Make does not deliver a static image. It creates real frames with Auto Layout applied, which ensures the design is responsive and easy to edit.
- Creation of atomic components: You can ask the AI to generate variants of buttons, form fields, or navigation menus that follow a coherent aesthetic, accelerating the creation of your design system.
- Visual refactoring: One of the great advantages of web design with Artificial Intelligence is the ability to select an existing block and ask Figma to modify it with a different style or an improved visual hierarchy.
Integration of Claude in the canvas: From prompt to AI design
The true magic behind Figma Make lies in its engine. By integrating advanced language models like Claude (from Anthropic) directly into the canvas, the tool not only draws but also understands the context of what you are building.
This synergy between AI web design and language models allows for:
- Claude is capable of processing nuanced instructions, such as “create a pricing section for a SaaS that conveys trust and minimalism,” translating abstract concepts into concrete visual decisions.
- The AI integration generates texts coherent with the page’s purpose, improving the perception of the prototype from the first minute.
- The AI analyzes your previous components to ensure that any newly generated element maintains harmony with what already exists in your Figma design file.
Pencil.dev: The “code-native” canvas that challenges the traditional flow
If Figma is the gold standard of vector-based design, Pencil.dev is the disruptor that arrives to eliminate the friction between design and production.
Unlike conventional tools, Pencil is born as a code-native environment. This means that what you see on the canvas is not just a visual representation, but a real code structure ready to be implemented.
For those looking to take their AI web design to the next level, Pencil.dev proposes a radical solution to the handoff problem: design and code remain synchronized in real-time within the repository, eliminating the possible issues that often occur between the designer and the developer.
Why Pencil.dev is considered the Cursor of AI web design
In the development world, Cursor has revolutionized programming by allowing AI to write and understand complex codebases. Pencil.dev follows exactly that same philosophy applied to interfaces.
- Pencil allows the designer to make visual changes that are instantly translated into functional React, Tailwind, or HTML/CSS components.
- Available for Windows, macOS, and Linux, its desktop application offers minimal latency and deep integration with your local development environment (IDE).
- While other tools remain on the surface, Pencil uses models like Claude 3.5 Sonnet to understand the rules of your design system and apply them with pixel precision, ensuring that the AI design does not look generic.
Multi-agent design: Collaboration between artificial intelligence agents
The most avant-garde feature of Pencil.dev is its ability to manage multi-agent workflows. Instead of interacting with a single chat, the designer acts as a team leader who coordinates several specialized agents simultaneously.
- Task specialization: You can assign an agent the task of structuring the main layout, while another is responsible for writing the interface copy (UX Writing), and a third ensures that contrasts comply with accessibility regulations.
- Parallel iteration: This architecture allows for exploring multiple variants of the same section in seconds. It is the maximum expression of AI web design: moving from manual creation to the supervision of parallel processes.
- System consistency: The agents not only create, they consult your technical documentation to ensure that every new element is coherent with your brand identity, something vital for web design and other professional tools.
Technical comparison: Figma Make vs Pencil.dev
In the battle to dominate web design with artificial intelligence, we are faced with two opposing philosophies.
While Figma Make seeks to empower the designer within their traditional creative environment, Pencil.dev attempts to break down the walls between design and software engineering.
If you are deciding which tool to integrate into your AI design workflow, the key is not which one is better, but where you want your process to end: in a visual prototype or in a functional code repository.
Zero Handoff: Real-time design and code synchronization
The biggest point of friction in creating a website in Figma has always been the handoff. This is where we see the biggest technical difference:
- Pencil.dev and the “Code-First” philosophy: Being a code-native environment, Pencil eliminates the handoff. Every change you make on the canvas is reflected directly in React, Tailwind, or CSS files. It is a bidirectional synchronization that allows the design to “live” within the code repository, something that completely redefines AI web design.
- Figma Make and Dev Mode: Figma has greatly improved code extraction with its developer mode, but it remains a vector-based environment. Although the AI generates components with clean code structures, there is still an intermediate step necessary to implement those elements in a real application. It is ideal for teams that prioritize visual exploration before technical implementation.
Flexibilidad vs. Control: ¿Qué herramienta elegir para tu página web en Figma?
Al planificar tu próximo proyecto de diseño web la elección depende de la complejidad de tu sistema de diseño y de quién sea el usuario final de la herramienta:
| Feature | Figma Make | Pencil.dev |
Target Audience | UI/UX Designers and Product Managers. | Design Engineers and Frontend Developers. |
| AI Engine | Claude (integrated into the canvas). | Multi-agent (Claude 3.5 / Proprietary Agents). |
| Learning curve | Low (familiar Figma interface). | Medium (requires code/component concepts). |
| Final Result | High-fidelity prototype in Figma. | Functional code synchronized with GitHub/GitLab. |
| Best for… | Rapid iteration and complex design systems. | “Vibe Coding” and fast product deployment. |
S your priority is to maintain absolute control over every Bézier curve and every style variant in a Figma design, Figma Make is your ally. However, if you are looking for maximum speed to launch a website, Pencil.dev offers technical control that the traditional platform still cannot match.
Web design with artificial intelligence is no longer just about aesthetics, but about operational efficiency. Both tools represent the future, but Pencil.dev is the one closest today to turning design into a real software asset.
Competitive advantages of AI design
Unprecedented iteration speed
The time previously spent drawing grids and aligning elements is now dedicated to testing concepts. What used to take a week of wireframing is now resolved in minutes with a well-structured prompt.
Technical and visual consistency
By using predefined design systems, the AI ensures that every new component respects global hierarchies and styles, reducing “visual clutter” in large projects.
Democratization of frontend development
Tools like Pencil.dev allow profiles with less technical experience to generate high-quality code, bridging the gap between the creative idea and the functional website in Figma.
Risks and challenges: What AI still cannot solve
A pesar de los avances, el diseño web con inteligencia artificial enfrenta barreras críticas que todo profesional debe supervisar:
Creative homogenization
There is a risk that AI, when trained on existing patterns, tends to generate “average” designs. Without human intervention, the web runs the risk of becoming visually monotonous.
Technical hallucinations in the code
Especially in design-to-code workflows, the AI may generate component structures that, although visually correct, are not efficient or accessible. The supervision of a developer remains vital.
La trampa de la solución fácil
Blindly trusting what Figma Make generates can lead to ignoring complex UX (User Experience) nuances that are only detected through real user testing and human empathy.
The trap of the easy solution
El uso de modelos como Claude dentro del flujo de diseño plantea interrogantes sobre dónde terminan los datos de tus proyectos y cómo se utilizan para entrenar futuras versiones de la IA.
Privacy and Intellectual Property
The use of models like Claude within the design flow raises questions about where your project data ends up and how it is used to train future versions of the AI.:
- Living design systems: Thanks to Figma design powered by language models, design systems are no longer passive libraries. They are now capable of self-generating variants and documenting themselves, maintaining coherence without constant human intervention.
- Radical reduction of Time-to-Market: The ability to transform a visual concept into a production-ready website in Figma drastically reduces development costs and allows companies to validate business ideas with unprecedented agility.
- Empowerment of the designer: Far from being replaced, the designer is elevated to a strategic position. By delegating repetitive tasks to artificial intelligence, the professional reclaims space for innovation, user empathy, and complex problem-solving.
The choice between one tool and the other will depend on your position in the development spectrum. If your priority is creative exploration and the robustness of an industry standard, design with Figma through its new AI is the natural choice. If, on the other hand, you seek to erase the line between design and final code under the Vibe Coding philosophy, Pencil.dev represents the technical vanguard.What is undeniable is that web design with artificial intelligence is here to stay. Those professionals and agencies that master the direction of AI agents will be the ones to lead the creation of tomorrow’s interfaces.Forget about the friction between design and programming. At Doowebs, we apply next-generation workflows to ensure that what you see on the canvas is exactly what reaches your users. With more than 15 years of experience and the most advanced AI tools, we build scalable solutions.