AI code generation and completion
Flatlogic is a practical database-generation service designed to simplify app development.
Pricing
Free
Category
AI Coding
Platforms
Web
Languages
EN, CN
Highlights
Flatlogic is a practical database-generation service designed to simplify app development
AI code generation and completion
Bug detection and fixing
Code explanation and documentation
Overview
Flatlogic is a practical database-generation service designed to simplify app development. It provides users with a comprehensive toolset to quickly and easily create complex data models without the need for manual coding. Through its intuitive interface, users can enter a description of their app, and Flatlogic will automatically generate a database schema based on the description. This eliminates the need for developers to manually create and maintain data structures, saving them time and effort. The generated schema is highly customizable, allowing users to adjust it to fit their app’s specific needs.
Flatlogic is a practical database-generation service designed to simplify app development. It provides users with a comprehensive toolset to quickly and easily create complex data models without the need for manual coding. Through its intuitive interface, users can enter a description of their app, and Flatlogic will automatically generate a database schema based on the description. This eliminates the need for developers to manually create and maintain data structures, saving them time and effort. The generated schema is highly customizable, allowing users to adjust it to fit their app’s specific needs. Furthermore, Flatlogic provides users with detailed analytics and reports to help them monitor the performance of their app. It also features built-in security measures to protect user data. With Flatlogic, app developers can quickly generate a comprehensive database schema, customize it to their needs, and monitor their app’s performance.
Key Features
AI code generation and completion
Bug detection and fixing
Code explanation and documentation
Multi-language support
Best practices recommendations
FAQ
Common questions
Use Cases
User Reviews
What users say
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