Automated App Programming-AI app coding platform

Example

A user submits a request for an inventory management app. The Planning Agent outlines a detailed folder structure and code architecture that includes front-end, back-end, and database modules.

Scenario

The Planning Agent structures the app repository into directories for the API, user interface, authentication system, and database models. This organizational approach ensures that developers can easily navigate the project and build upon each module without overlap.

Example

A user needs a login functionality for their mobile app. The Code Generation Agent writes the full logic for user authentication, complete with password hashing and database checks.

Scenario

When tasked with creating a 'Login' feature for a social media app, the agent generates complete back-end logic using Node.js and MongoDB, as well as a front-end form in React Native. This reduces the time spent on boilerplate code and focuses on implementing core app features.

Example

The Code Review Agent examines a payment gateway integration and highlights security vulnerabilities like unvalidated inputs or unencrypted data transmission.

Scenario

For a financial services app that processes online payments, the agent identifies and flags issues in the code where sensitive user information is not being securely transmitted. This ensures the app meets industry standards and regulations before release.

Example

A performance bottleneck is found in a database query within an e-commerce app. The Refinement Agent rewrites the query for better performance and reduced load time.

Scenario

In an online store with thousands of product listings, the Refinement Agent optimizes the SQL queries used to fetch product data. It reduces query times by adding indexes to frequently queried columns and restructuring poorly optimized queries.

Example

The Planning Agent outlines a complex data analysis feature for a health monitoring app. The Code Generation Agent writes the logic, and the Code Review and Refinement Agents iterate over the generated code until it's efficient and bug-free.

Scenario

In a medical diagnostic app where real-time health metrics are processed, the agents collaborate to develop a real-time analytics module. The Code Generation Agent creates the module, the Code Review Agent fixes data handling issues, and the Refinement Agent improves performance for real-time data processing.