ChatGPT Did My Homework (Well, My Actual Work)

In this blog post, we’ll explore an exciting journey into using AI in software development. Our case study uses artificial intelligence, specifically OpenAI’s GPT-4, to aid in a development task. We’ll take a deep dive into how we created a seamless data extraction pipeline, from a MySQL database to JSON files packaged in a ZIP. We’ll also explore how the AI model was a reliable partner throughout the process.

Our AI Collaborator – OpenAI’s GPT-4

First, let’s introduce our AI companion: GPT-4 by OpenAI. GPT-4 is a state-of-the-art language model capable of generating human-like text based on the prompts it’s given. It is the fourth iteration of the Generative Pretrained Transformer models by OpenAI and is renowned for its impressive text generation capabilities.

The Challenge

Our task was to create an efficient pipeline to extract data from a MySQL database, transform it into JSON format, and package it into a ZIP file. The aim was to facilitate efficient data extraction and transfer.

A Collaborative Solution

Engaging with GPT-4, we started with the basic SQL to JSON conversion. We iteratively refined our prompts to the AI model, which in turn provided us with code snippets and explanations. This back-and-forth process allowed us to create a reliable and efficient codebase.

  1. SQL Query Execution and Result Processing. GPT-4 helped write SQL queries to fetch data from specific tables in the database. We also developed a function to convert the SQL ResultSet into an ArrayList of Maps, which formed the basis for JSON conversion.

  2. JSON Serialization and Temporary File Writing. Leveraging the Jackson library, we implemented the JSON serialization of the ArrayList. GPT-4 provided guidance on writing this data to temporary files. This approach ensured no residual data would clutter our file system.

  3. ZIP Packaging. Finally, we moved on to the packaging step. Here, GPT-4 suggested using Java’s built-in ZipOutputStream to create a ZIP file containing our JSON data.

Interactive Troubleshooting

One of the remarkable aspects of this journey was the interactive problem-solving process. When faced with issues like the “No Persistence provider for EntityManager named mysql” error, GPT-4 provided insights into the problem and guided us through the solution.


This project was about more than just creating a data extraction pipeline. It was about learning how to effectively communicate with an AI model to achieve our goals. The iterative process of refining our prompts and understanding the model’s responses led to the successful completion of the task.

The Power of AI in Software Development

This adventure showcased the power of AI in software development. By leveraging the capabilities of OpenAI’s GPT-4, we were able to not only create an efficient data extraction pipeline but also experience the future of AI-powered coding. It’s clear that AI, like GPT-4, can play a significant role in development tasks, aiding in both code generation and problem-solving.


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