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kuraydevAI-ready React Native + TypeScript boilerplate for production apps
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AI-Ready React Native + TypeScript Boilerplate
This repository provides a production-grade React Native boilerplate pre-configured for seamless integration with AI services like OpenAI, Anthropic, and Google Gemini. It targets developers seeking a robust foundation for AI-powered mobile applications, offering a provider-agnostic AI service layer, modern React Native features, and enhanced developer experience tools to accelerate development.
How It Works
The core innovation is a provider-agnostic AI service layer that abstracts interactions with various Large Language Models (LLMs). Developers can integrate OpenAI, Anthropic, Gemini, or custom LLM APIs using consistent hooks (useAIChat for multi-turn conversations and useAICompletion for single-shot tasks) and direct service calls (sendAIMessage, streamAIMessage). This approach minimizes integration time and allows for easy switching between AI providers. The boilerplate also leverages React Native's New Architecture for improved performance and includes a typed theme system and path aliases for better code organization and maintainability.
Quick Start & Requirements
git clone https://github.com/kuraydev/react-native-typescript-boilerplate.git my-appcd my-appnpm installcd ios && pod install && cd ..android/local.properties with your SDK location.npm run ios or npm run android.Prerequisites include Node.js, npm, and a standard React Native development environment.
Highlighted Details
CLAUDE.md, AGENTS.md, .cursor/rules/, .github/copilot-instructions.md) for AI coding assistants like Cursor, Claude Code, GitHub Copilot, and Gemini CLI to understand project conventions.newArchEnabled=true) for enhanced performance.@screens, @services, etc.), ESLint, Prettier, and Husky v9 pre-commit hooks enforcing linting, formatting, and Conventional Commits.useAIChat, useAICompletion) and functions (sendAIMessage, streamAIMessage) supporting streaming responses and customizable configurations.SCREENS constant for type safety.Maintenance & Community
No specific details on maintainers, sponsorships, or community channels (like Discord/Slack) are provided in the README.
Licensing & Compatibility
The project is licensed under the MIT License, permitting commercial use and modification.
Limitations & Caveats
The screens, components, and mock data included in the boilerplate are solely for demonstration purposes to showcase architecture and features; they are intended to be replaced with custom implementations.
2 weeks ago
Inactive
steven-tey
Josh-XT
vercel