Pencil – Design on canvas. Land in code.
PaidDesign on canvas. Land in code.
About Pencil – Design on canvas. Land in code.
Pencil is an agent-driven Multi-Channel Platform (MCP) canvas designed to fundamentally increase engineering speed by integrating design directly into the preferred Integrated Development Environment (IDE), such as VSCode and Cursor. It promotes 'Design right where you code' by utilizing an open design format that lives within the codebase. Pencil offers an infinite design canvas, AI multiplayer capabilities for parallel screen generation, precision tools for prompting, and a vector-to-code workflow to ship pixel-perfect, production-ready applications where code and design are always aligned and versioned with Git.
How to Use
Users download and add Pencil to their preferred IDE (like Cursor or VSCode). They utilize the infinite vector design canvas within the IDE to create products with pixel-perfect precision. Users can leverage AI multiplayer to generate screens or flows quickly in parallel, prompt specific parts, and use curated brand kits or their own design systems. The resulting design files live in the repo, managed with git, and translate directly into production-ready code (HTML, CSS, React). Users can also copy and paste existing designs directly from Figma.
Key Features
- Design canvas integrated directly into the IDE (VSCode/Cursor)
- Agent-driven MCP canvas based on open design format
- AI Multiplayer for generating screens and flows in parallel
- Design as Code: Design files live in repo, versioned with Git
- Pixel-perfect vector-to-code workflow
Use Cases
- Designing new products and features with pixel-perfect precision without leaving the development environment.
- Eliminating design handoffs by having design and code live under one roof.
- Accelerating workflow by using AI multiplayer to generate UI components and flows.
- Shipping production-ready apps with guaranteed code-design alignment.
- Integrating existing design systems directly from the codebase.
Key Features
Pros & Cons
- Seamlessly integrates design into coding environment, reducing context switches
- Ensures design-code alignment through codebase storage and Git versioning
- AI multiplayer speeds up screen generation and prototyping
- Produces pixel-perfect, production-ready code from vectors
- Boosts overall engineering velocity with agent-driven tools
- Uses open format for flexibility and no vendor lock-in
- Pricing requires contacting sales, with no public tiers available
- Limited to specific IDEs like VSCode and Cursor
- Potential learning curve for precision prompting and canvas tools
- Relies on AI accuracy, which may require refinements
- Early-stage tool with possible integration or stability issues
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