🤖 AI Powered Development Mobile

🚩 Project Purpose & Focus

This project aims to simplify Flutter development processes by leveraging AI-powered tools and APIs.
It focuses on AI IDE integration and AI API usage, especially Google Gemini API and OpenAI GPT-4.x.
The goal is to boost developer productivity and deliver smart solutions in modern mobile app development.

In upcoming updates, example prompts and usage scenarios will be shared via *.prompt.md files.

This project is designed to simplify mobile application development processes powered by artificial intelligence.

✨ Features

• 🤝 AI-enhanced user experience
• 🏗️ Modern mobile application architecture
• ⚡ Easy integration and customizable structure

📚 Principles

The core principles that guide the software development processes in this project are located in the principles folder. Each principle is explained in detail in a separate Markdown file.

🧭 Comprehensive Principles & Guides

🛠️ Core Principles

• Dart 3: Advanced Pattern Matching, Branching, and Records
  📖 A comprehensive guide to advanced pattern matching, control flow, and record structures introduced in Dart 3.

• Effective Dart Development Principles
  🏷️ Best practices for naming, type usage, code style, file organization, documentation, testing, and performance optimization in Dart projects.

• Bloc and Cubit Usage Principles
  🧩 Naming, state modeling, architectural layering, and testing strategies for Bloc and Cubit usage in Flutter.

• Flutter Error Handling and Debugging Principles
  🐞 Practical solutions for common error messages, debugging, and global error management in Flutter applications.

• Core App Architecture
  🏛️ A detailed guide for layered and sustainable application architecture based on MVVM and BLoC (especially Cubit).

🤖 Gemini API & AI

• Gemini API Prompt Usage Guide (Pro Edition)
  🔑 Integration of Gemini API into Flutter projects, prompt management, security, and advanced usage examples.

• How to Get a Gemini API Key
  🗝️ Step-by-step guide on how to obtain a Gemini API key.

🔥 Firebase Integrations

• Step-by-Step Firebase Authentication for Mobile Apps
  🔐 Integration of Firebase Authentication into mobile apps, different identity providers, and advanced usage scenarios.

• Step-by-Step Firebase Cloud Functions Integration for Mobile Apps
  ☁️ Setup of Firebase Cloud Functions, calling from mobile apps, and advanced usage examples.

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🚀 Installation

1. Clone the repository:

   git clone https://github.com/kullanici/ai_powered_development_mobile.git

2. Go to the project directory:

   cd ai_powered_development_mobile

👤 Participant Profile

For contributor information and development environment details, see participant_profile.md.

Usage & Features:

• 📝 Serves as a template for contributors to document their background, skills, and development environment.
• 🧑‍💻 Helps maintain a clear record of project participants and their roles.
• ✅ Includes checklists for tools, technologies, and contribution areas.
• 🤝 Facilitates onboarding and collaboration by providing a standardized profile format.

🌱 Contributing

Please fork the repository and submit a pull request to contribute.
Every contribution plants a seed for a smarter future! 🌳

📝 Commit Standards

See commits.md for commit message types and rules.

📄 License

This project is licensed under the MIT License.

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For more details and best practices, please review the relevant *.prompt.md files in the principles folder.

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✨ Happy coding! May your builds be green and your bugs be few! ✨
🚀 Remember: Weeks of coding can save you hours of planning! 🚀