Node.js GPT by Whitebox-Node.js development assistance tool.

Example

A user struggling with an intermittent crash in their application can query Node.js GPT to analyze possible issues. For example, a poorly handled asynchronous function may be causing unhandled promise rejections, and Node.js GPT can help pinpoint that by showing how to use `process.on('unhandledRejection')`.

Scenario

In a real-world scenario, a developer's API built with Node.js keeps crashing under heavy load, and after consulting Node.js GPT, they can trace the issue to a memory leak in one of their async functions that is incorrectly holding references to objects.

Example

If a developer wants to optimize their server for high traffic, Node.js GPT can suggest techniques like clustering using the `cluster` module, balancing requests across CPU cores, or implementing efficient I/O handling with `streams` and `buffers`.

Scenario

For a developer working on an e-commerce platform with frequent spikes in traffic, Node.js GPT could recommend using load balancing, caching strategies with Redis, and implementing background workers with the `Bull` queue for better throughput.

Example

A user who is unfamiliar with structuring a large-scale Node.js application might ask for advice on design patterns. Node.js GPT could provide an overview of patterns like Singleton, Factory, or the Proxy pattern and explain where to use them. For example, it may suggest using a Factory pattern for managing different types of database connections in a multi-database application.

Scenario

A startup is designing a scalable Node.js backend and asks Node.js GPT for advice on managing services and models. The GPT suggests using Dependency Injection to decouple modules and facilitate testing while recommending using the Repository pattern for abstracting database logic.