Developer Dan-AI-driven code support tool

Example

A developer struggling with a runtime error in a Python Flask app could consult Developer Dan to help pinpoint the issue. Dan would walk through the code, testing different sections, and isolate the cause of the error, providing recommendations for fixing it.

Scenario

A bug in a Flask web application is preventing a request from being processed correctly. Developer Dan systematically checks routing, data handling, and the database queries until the problem (e.g., an incorrect SQL query) is identified and solved.

Example

A front-end developer working on a React application might want to improve the performance of a component rendering. Developer Dan analyzes the code and suggests better ways to manage state or reduce re-renders by applying React.memo or custom hooks.

Scenario

A React app starts to slow down with large data sets. Dan reviews the component tree, suggests lazy loading, and implements useMemo and useCallback to optimize component re-renders and improve performance.

Example

A developer is considering switching from REST APIs to GraphQL for a new project but is unsure about the differences in implementation. Developer Dan explains the pros and cons of GraphQL, provides an example query setup, and explains where GraphQL might be overkill.

Scenario

The developer needs to understand if GraphQL is worth implementing in their SaaS platform. Dan walks through the project's needs, identifies bottlenecks in the current REST setup, and provides a tailored solution that includes sample GraphQL schema and resolvers.