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autoview

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Basic Information

Autoview is a developer tool that automatically generates presentational React UI components from schema definitions. It transforms TypeScript interfaces or OpenAPI/Swagger documents into compile-ready TypeScript/TSX viewer components so teams can visualize structured data without hand-coding each UI. The repository provides an agent-based workflow that uses LLM function calling plus static schema analysis to produce components that render fields appropriately (images, timestamps, lists, tables, etc.). Generated components are styled for TailwindCSS and shadcn/ui and are intended to be used at build time rather than dynamically in the browser. Autoview focuses on read-only presentation code and does not generate interactive form handling or client-side business logic. It targets frontend developers who want rapid prototyping and backend/API teams who want matching UI for many API operations.

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687
App URL
https://github.com/wrtnlabs/autoview
Github Repository
https://github.com/wrtnlabs/autoview/blob/main/README.md

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App Details

Features
Automated viewer generation driven by LLM function calling to compose React viewer components. TypeScript code generation that outputs compile-ready TSX components using typia for schema analysis and validation. Swagger/OpenAPI integration that can generate viewer components for each API operation. A validation loop combining compile-time TypeScript checks and LLM feedback to improve code reliability. Output components use TailwindCSS and shadcn/ui for consistent styling. Provides an agent package (@autoview/agent) and UI helpers (@autoview/ui) with quickstart examples showing integration with OpenAI and typia. Supports experimentalAllInOne mode for faster results. Generation is intended for build-time workflows and produces presentational components only, not interactive logic or runtime schema generation.
Use Cases
Autoview reduces repetitive frontend work by automatically producing UI components that match your schemas, saving time when you have many similar data shapes or numerous API responses. It improves consistency and type safety by using TypeScript and typia-driven validation and feeding compiler errors back into the generator. For AI chat or API-driven interfaces, it converts structured JSON responses into readable, styled components instead of plain text, improving user experience. The tool scales with API size and is suitable for rapid prototyping and bootstrapping UI when integrating backend services. Teams should review and customize generated code to match visual/design requirements and ensure TailwindCSS and shadcn/ui are configured in their projects.

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