{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-waiin-pundit-magic","slug":"ai-pundit-magic-design-to-code-figma-to-code","name":"AI Pundit Magic - Design to Code | Figma to Code","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=Waiin.pundit-magic","page_url":"https://unfragile.ai/ai-pundit-magic-design-to-code-figma-to-code","categories":["app-builders"],"tags":["__web_extension","ai","artificial-intelligence","codex","copilot","design-to-code","figma-to-code","javascript","keybindings","machine-learning","ml","mobile","pundit-magic-log","testing","web"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-waiin-pundit-magic__cap_0","uri":"capability://code.generation.editing.figma.to.react.component.code.generation.with.design.system.targeting","name":"figma-to-react component code generation with design system targeting","description":"Accepts Figma design URLs as input and generates production-ready React component code with automatic styling and layout implementation. The system parses Figma design structure (layers, constraints, typography, colors) and maps them to selected design system frameworks (Material UI, Ant Design, Chakra UI, Fluent UI), generating JSX with pre-configured component imports and prop structures. Real-time progress updates indicate generation pipeline stages.","intents":["Convert a Figma mockup into working React components without manual coding","Generate boilerplate component code that matches a specific design system library","Reduce time from design handoff to implementable code artifacts","Maintain design-system consistency across generated components"],"best_for":["Frontend teams with Figma-first design workflows","Solo developers prototyping React applications from designs","Design systems teams validating component implementations against mockups"],"limitations":["Limited to Figma URLs only — no direct design file upload or support for other design tools (Sketch, Adobe XD, Penpot)","Generated code scope unclear — likely handles layout and styling but may not generate business logic, state management, or API integration code","Design system selection is static per generation — cannot mix multiple design systems in single output","No documented support for complex interactions, animations, or conditional rendering logic from Figma prototypes","Figma design parsing method unknown — unclear if using official Figma API or URL-based scraping, affecting reliability and rate limits"],"requires":["Visual Studio Code 1.50+ (minimum version unspecified in documentation)","Active internet connection to cloud-based AI Pundit Engine service","Valid Figma design URL with accessible design file","Selection of target React design framework before code generation"],"input_types":["Figma design URL (string)","Framework selection (enum: Material UI, Ant Design, Chakra UI, Fluent UI)"],"output_types":["JSX/TSX component code","CSS-in-JS or framework-specific styling","Component file structure with imports"],"categories":["code-generation-editing","design-to-code"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-waiin-pundit-magic__cap_1","uri":"capability://code.generation.editing.angular.component.code.generation.from.figma.designs","name":"angular component code generation from figma designs","description":"Generates Angular-compatible component code from Figma design URLs with support for Angular Material, NG-Zorro, and PrimeNG component libraries. The system translates Figma design elements into Angular template syntax (HTML with Angular directives) and TypeScript component classes with property bindings and lifecycle hooks, maintaining framework-specific patterns and conventions.","intents":["Convert Figma designs to Angular components for enterprise applications","Generate Angular Material components matching design mockups","Accelerate Angular development by automating component scaffolding from designs"],"best_for":["Enterprise Angular development teams with Figma design workflows","Angular developers building Material Design or enterprise UI systems"],"limitations":["Angular support limited to Material, NG-Zorro, and PrimeNG — no support for custom component libraries or headless frameworks","Generated code likely lacks service integration, dependency injection setup, and RxJS observable patterns","No documented support for Angular routing, form validation, or reactive forms generation"],"requires":["Visual Studio Code 1.50+","Active internet connection to AI Pundit Engine","Valid Figma design URL","Angular framework selection before generation"],"input_types":["Figma design URL (string)","Angular design framework selection (enum: Angular Material, NG-Zorro, PrimeNG)"],"output_types":["Angular component TypeScript files","Angular template HTML files","Module imports and declarations"],"categories":["code-generation-editing","design-to-code"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-waiin-pundit-magic__cap_10","uri":"capability://code.generation.editing.multi.framework.code.generation.comparison.and.export","name":"multi-framework code generation comparison and export","description":"Generates code for the same Figma design across multiple selected frameworks (React + Angular, React + Flutter, etc.) and presents side-by-side comparison of outputs. The system highlights framework-specific differences in component structure, styling approach, and API usage. Generated code for all frameworks can be exported simultaneously, enabling developers to choose the best output or use multiple frameworks in the same project.","intents":["Compare code generation quality across different frameworks for same design","Evaluate framework suitability by examining generated code","Generate code for multiple platforms from single design source","Export code for multiple frameworks simultaneously"],"best_for":["Teams evaluating framework choices for new projects","Cross-platform development teams using multiple frameworks","Developers comparing framework-specific code generation quality"],"limitations":["Comparison UI implementation unclear — unknown if side-by-side, tabbed, or diff-based","Framework selection limited to supported frameworks (React, Angular, Flutter) — no custom framework support","Comparison may not highlight semantic differences in component behavior or performance characteristics","Export functionality unclear — unknown if exports to separate files, zip archive, or other format","No documented support for merging or selecting best parts from multiple framework outputs"],"requires":["Visual Studio Code 1.50+","Active internet connection to AI Pundit Engine","Valid Figma design URL","Selection of multiple target frameworks"],"input_types":["Figma design URL (string)","Multiple framework selections (array of enums)"],"output_types":["Code for multiple frameworks","Comparison view highlighting differences","Exported code artifacts for all frameworks"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-waiin-pundit-magic__cap_11","uri":"capability://automation.workflow.design.system.and.component.library.configuration.management","name":"design system and component library configuration management","description":"Manages project-level configuration for design system and component library selections, allowing developers to set default frameworks, design systems, and component mappings. The system stores configuration in project workspace, enabling consistent code generation across team members and preventing framework selection errors. Configuration can be version-controlled and shared across team repositories.","intents":["Set project-wide default design system and framework for consistent code generation","Configure custom component mappings between Figma elements and framework components","Enforce design system standards across team design-to-code workflows","Share design system configuration across team repositories"],"best_for":["Teams enforcing design system standards across projects","Enterprise organizations with centralized design system governance","Projects requiring consistent component library usage"],"limitations":["Configuration format and storage location unclear — unknown if JSON, YAML, or other format","Custom component mapping capabilities unclear — unknown if supports custom Figma-to-component mappings","Configuration validation unknown — unclear if validates against supported frameworks and design systems","No documented support for environment-specific configurations or conditional framework selection","Team collaboration features unclear — unknown if supports shared configuration or version control integration"],"requires":["Visual Studio Code 1.50+","VS Code workspace with project configuration file","Access to design system and framework documentation"],"input_types":["Framework selection (enum)","Design system selection (enum)","Custom component mappings (optional)"],"output_types":["Project configuration file","Design system and framework settings"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-waiin-pundit-magic__cap_2","uri":"capability://code.generation.editing.flutter.dart.mobile.component.code.generation.from.figma","name":"flutter/dart mobile component code generation from figma","description":"Generates Flutter widget code and Dart class definitions from Figma design URLs, translating design elements into Flutter-specific widget trees with Material Design or Cupertino styling. The system maps Figma layout constraints to Flutter layout widgets (Column, Row, Stack), converts colors and typography to Flutter Theme properties, and generates stateless/stateful widget scaffolding with proper Dart syntax.","intents":["Convert Figma mobile designs to Flutter widgets without manual widget tree construction","Generate cross-platform mobile components from single design source","Accelerate Flutter development by automating widget scaffolding from mockups"],"best_for":["Mobile developers building Flutter applications from Figma designs","Cross-platform teams using Flutter for iOS and Android","Startups prototyping mobile apps from design mockups"],"limitations":["Flutter code generation scope unclear — likely generates UI widgets but may not include state management (Provider, Riverpod, GetX), navigation, or API integration","No documented support for Flutter animations, gestures, or platform-specific code generation","Design system support not specified — unclear if generates Material Design or Cupertino widgets or both","Dart-specific patterns like async/await, streams, and dependency injection likely not generated"],"requires":["Visual Studio Code 1.50+","Active internet connection to AI Pundit Engine","Valid Figma design URL","Flutter/Dart framework selection"],"input_types":["Figma design URL (string)","Mobile platform selection (Flutter/Dart)"],"output_types":["Dart widget code","Flutter widget tree structure","Material or Cupertino component definitions"],"categories":["code-generation-editing","design-to-code"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-waiin-pundit-magic__cap_3","uri":"capability://code.generation.editing.automated.code.comment.generation.with.best.practices.documentation","name":"automated code comment generation with best practices documentation","description":"Analyzes generated or existing code and automatically inserts comments following language-specific conventions and documentation best practices. The system uses the AI Pundit Engine to understand code intent, function signatures, and logic flow, then generates JSDoc, TSDoc, or Dart doc comments with parameter descriptions, return types, and usage examples. Comments are inserted at appropriate locations (function declarations, complex logic blocks, class definitions) without modifying code logic.","intents":["Add comprehensive documentation to generated code without manual writing","Ensure code comments follow team standards and best practices","Generate JSDoc/TSDoc comments for TypeScript/JavaScript code","Create self-documenting code that improves maintainability"],"best_for":["Teams maintaining generated code that requires documentation","Developers enforcing code documentation standards across projects","Open source projects requiring contributor-friendly documentation"],"limitations":["Comment generation quality depends on code clarity — may produce generic comments for obfuscated or complex logic","No control over comment style, verbosity, or format — appears to use fixed generation rules","Cannot preserve existing comments — unclear if tool respects or overwrites existing documentation","Language support limited to JavaScript/TypeScript and Dart — no Python, Java, or other language support documented"],"requires":["Visual Studio Code 1.50+","Active internet connection to AI Pundit Engine","Generated or existing code in supported language (JavaScript, TypeScript, Dart)"],"input_types":["Source code (JavaScript, TypeScript, or Dart)"],"output_types":["Source code with inserted comments","JSDoc/TSDoc/Dart doc annotations"],"categories":["code-generation-editing","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-waiin-pundit-magic__cap_4","uri":"capability://code.generation.editing.static.code.analysis.and.bug.detection.in.generated.code","name":"static code analysis and bug detection in generated code","description":"Scans generated or existing code for potential bugs, anti-patterns, and code quality issues using the AI Pundit Engine's analysis capabilities. The system identifies common issues such as missing null checks, unused variables, type mismatches, performance problems, and security vulnerabilities. Results are presented with severity levels and suggested fixes, integrating with VS Code's problem panel for inline diagnostics.","intents":["Identify bugs in AI-generated code before deployment","Detect common JavaScript/TypeScript anti-patterns and performance issues","Validate generated code quality against best practices","Catch security vulnerabilities in generated components"],"best_for":["Teams using design-to-code generation who need quality assurance","Developers validating AI-generated code before integration","Projects with strict code quality requirements"],"limitations":["Analysis scope unclear — unknown which bug categories are detected (null safety, type errors, performance, security, etc.)","No documented integration with existing linters (ESLint, TSLint) — may duplicate or conflict with existing analysis","False positive rate unknown — no documentation of accuracy or precision","Language support limited to JavaScript/TypeScript and Dart — no multi-language analysis","Real-time analysis performance impact unknown — may add latency to code editing workflow"],"requires":["Visual Studio Code 1.50+","Active internet connection to AI Pundit Engine","Code in supported language (JavaScript, TypeScript, Dart)"],"input_types":["Source code (JavaScript, TypeScript, or Dart)"],"output_types":["Diagnostic list with bug descriptions","Severity levels (error, warning, info)","Suggested fixes or remediation steps"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-waiin-pundit-magic__cap_5","uri":"capability://text.generation.language.code.explanation.and.documentation.generation","name":"code explanation and documentation generation","description":"Generates detailed natural language explanations of code sections, functions, or entire files using the AI Pundit Engine. The system analyzes code structure, logic flow, and dependencies to produce human-readable documentation that explains what code does, why it's structured that way, and how to use it. Explanations can be displayed in hover tooltips, side panels, or exported as markdown documentation.","intents":["Understand generated code without reading implementation details","Create documentation for complex code sections automatically","Onboard new developers by explaining code intent and structure","Generate API documentation from component code"],"best_for":["Teams reviewing AI-generated code and needing quick understanding","Documentation-first development teams automating doc generation","Open source projects explaining complex component implementations"],"limitations":["Explanation quality depends on code clarity — may produce confusing explanations for obfuscated or non-idiomatic code","No control over explanation depth, style, or technical level — appears to use fixed generation rules","Language support limited to JavaScript/TypeScript and Dart","Explanations may not capture business logic intent or domain-specific context","No integration with external documentation systems (Confluence, GitBook, etc.)"],"requires":["Visual Studio Code 1.50+","Active internet connection to AI Pundit Engine","Code in supported language (JavaScript, TypeScript, Dart)"],"input_types":["Source code (JavaScript, TypeScript, or Dart)","Code selection or file path"],"output_types":["Natural language explanation (text)","Markdown documentation","Hover tooltip content"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-waiin-pundit-magic__cap_6","uri":"capability://code.generation.editing.automated.code.optimization.and.refactoring.suggestions","name":"automated code optimization and refactoring suggestions","description":"Analyzes code for optimization opportunities and generates refactoring suggestions to improve performance, readability, and maintainability. The system identifies inefficient patterns (unnecessary re-renders in React, inefficient loops, suboptimal data structures), suggests structural improvements (extracting components, consolidating logic), and applies recognized design patterns. Suggestions are presented with before/after code examples and rationale.","intents":["Improve performance of generated React components by reducing re-renders","Refactor generated code to follow design patterns and best practices","Simplify complex code structures through automated suggestions","Optimize bundle size and runtime performance"],"best_for":["Performance-critical applications using generated components","Teams enforcing code quality and design pattern standards","Developers learning best practices through AI-suggested refactorings"],"limitations":["Optimization scope unclear — unknown which performance issues are detected (re-renders, memory leaks, inefficient algorithms, etc.)","Refactoring suggestions may not account for business logic or architectural constraints","No control over optimization aggressiveness or style preferences","Language support limited to JavaScript/TypeScript and Dart","Suggested refactorings require manual review and application — no automated code transformation"],"requires":["Visual Studio Code 1.50+","Active internet connection to AI Pundit Engine","Code in supported language (JavaScript, TypeScript, Dart)"],"input_types":["Source code (JavaScript, TypeScript, or Dart)"],"output_types":["Optimization suggestions with rationale","Before/after code examples","Performance impact estimates"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-waiin-pundit-magic__cap_7","uri":"capability://code.generation.editing.design.pattern.application.and.structural.guidance","name":"design pattern application and structural guidance","description":"Analyzes code structure and automatically applies recognized design patterns (MVC, component composition, dependency injection, factory patterns) to improve code organization. The system identifies opportunities to apply patterns, generates pattern-compliant code structures, and refactors existing code to follow pattern conventions. Guidance is provided for both architectural patterns (application structure) and code patterns (component organization).","intents":["Apply design patterns to generated code automatically","Ensure generated components follow architectural best practices","Refactor code to match team's design pattern standards","Learn design patterns through AI-guided code transformation"],"best_for":["Teams enforcing architectural standards across projects","Enterprise applications requiring consistent design patterns","Developers learning design patterns through guided refactoring"],"limitations":["Pattern support unclear — unknown which design patterns are recognized and applied","Pattern application may conflict with existing code structure or business logic","No control over pattern selection or application aggressiveness","Language support limited to JavaScript/TypeScript and Dart","Patterns may not align with team's specific architectural preferences"],"requires":["Visual Studio Code 1.50+","Active internet connection to AI Pundit Engine","Code in supported language (JavaScript, TypeScript, Dart)"],"input_types":["Source code (JavaScript, TypeScript, or Dart)"],"output_types":["Pattern application suggestions","Refactored code following patterns","Structural guidance and rationale"],"categories":["code-generation-editing","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-waiin-pundit-magic__cap_8","uri":"capability://memory.knowledge.project.scoped.design.to.code.request.history.and.management","name":"project-scoped design-to-code request history and management","description":"Maintains a searchable, project-scoped history of all design-to-code generation requests, including input Figma URLs, selected frameworks, generated code artifacts, and timestamps. The system organizes history by project, allowing developers to revisit previous generations, compare outputs across framework selections, and reuse successful generation configurations. History is persisted locally in VS Code workspace with optional cloud synchronization.","intents":["Track all design-to-code generations within a project for audit and reproducibility","Reuse successful generation configurations for similar designs","Compare generated code across different framework selections","Maintain version history of design-to-code transformations"],"best_for":["Teams managing multiple design-to-code projects","Developers iterating on design-to-code outputs","Projects requiring audit trails of code generation"],"limitations":["History storage location unclear — unknown if stored locally in VS Code or in cloud service","History retention policy unknown — no documentation of how long history is retained","Search capabilities unclear — unknown if searchable by design URL, framework, date, or other criteria","No documented export or backup functionality for history","History scope limited to single VS Code workspace — no cross-workspace history sharing"],"requires":["Visual Studio Code 1.50+","Active internet connection to AI Pundit Engine (for cloud sync, if enabled)","VS Code workspace with project configuration"],"input_types":["Design-to-code generation requests (Figma URL + framework selection)"],"output_types":["History list with metadata (URL, framework, timestamp)","Generated code artifacts from previous requests","Generation configuration snapshots"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-waiin-pundit-magic__cap_9","uri":"capability://text.generation.language.conversational.design.to.code.interface.with.iterative.refinement","name":"conversational design-to-code interface with iterative refinement","description":"Provides a chat-based interface within VS Code for conversational design-to-code requests and iterative refinement. Developers can describe design changes, request modifications to generated code, or ask questions about design-to-code transformations in natural language. The system maintains conversation context across multiple turns, allowing iterative refinement of generated code without re-specifying the original design or framework selection.","intents":["Request design-to-code generation through natural language conversation","Iteratively refine generated code through conversational feedback","Ask questions about generated code and design-to-code decisions","Modify generated components through conversational instructions"],"best_for":["Developers preferring conversational interfaces over form-based workflows","Iterative design-to-code workflows requiring multiple refinement rounds","Teams exploring design variations through conversational prompting"],"limitations":["Chat interface implementation details unknown — unclear if using standard LLM chat or custom conversation model","Context window limitations unknown — unclear how many conversation turns are maintained","Conversation history persistence unclear — unknown if conversations are saved or ephemeral","Natural language understanding limitations — may struggle with ambiguous or complex design descriptions","No documented support for multi-user conversations or collaborative refinement"],"requires":["Visual Studio Code 1.50+","Active internet connection to AI Pundit Engine","Valid Figma design URL (for initial design context)"],"input_types":["Natural language design-to-code requests","Conversational refinement instructions","Figma design URLs"],"output_types":["Generated code artifacts","Conversational responses and explanations","Refined code based on feedback"],"categories":["text-generation-language","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Visual Studio Code 1.50+ (minimum version unspecified in documentation)","Active internet connection to cloud-based AI Pundit Engine service","Valid Figma design URL with accessible design file","Selection of target React design framework before code generation","Visual Studio Code 1.50+","Active internet connection to AI Pundit Engine","Valid Figma design URL","Angular framework selection before generation","Selection of multiple target frameworks","VS Code workspace with project configuration file"],"failure_modes":["Limited to Figma URLs only — no direct design file upload or support for other design tools (Sketch, Adobe XD, Penpot)","Generated code scope unclear — likely handles layout and styling but may not generate business logic, state management, or API integration code","Design system selection is static per generation — cannot mix multiple design systems in single output","No documented support for complex interactions, animations, or conditional rendering logic from Figma prototypes","Figma design parsing method unknown — unclear if using official Figma API or URL-based scraping, affecting reliability and rate limits","Angular support limited to Material, NG-Zorro, and PrimeNG — no support for custom component libraries or headless frameworks","Generated code likely lacks service integration, dependency injection setup, and RxJS observable patterns","No documented support for Angular routing, form validation, or reactive forms generation","Comparison UI implementation unclear — unknown if side-by-side, tabbed, or diff-based","Framework selection limited to supported frameworks (React, Angular, Flutter) — no custom framework support","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2,"quality":0.49,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:31.090Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=ai-pundit-magic-design-to-code-figma-to-code","compare_url":"https://unfragile.ai/compare?artifact=ai-pundit-magic-design-to-code-figma-to-code"}},"signature":"8To7QomwALR4h+I1mJegkKp/nw0f5xqR31IlH01c16lvRXr95wPalYSiH/FzKDx6giLDRql5rLowar00SvO6AQ==","signedAt":"2026-06-20T11:42:51.572Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ai-pundit-magic-design-to-code-figma-to-code","artifact":"https://unfragile.ai/ai-pundit-magic-design-to-code-figma-to-code","verify":"https://unfragile.ai/api/v1/verify?slug=ai-pundit-magic-design-to-code-figma-to-code","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}