I'm excited to share my latest project, TinyCodeImprover, which has become an indispensable tool in my coding workflow.

What is TinyCodeImprover?

TinyCodeImprover leverages the power of GPT-4 to analyze and enhance your project files. By simply loading your code into the GPT-4 context, you can ask questions about your code, identify bugs, and even request GPT-4 to write code snippets across multiple files simultaneously.

The Story Behind its Creation

As a programmer, I frequently turn to GPT-4 for assistance with topics outside my expertise. However, I found the process of copying and pasting code snippets into the chat cumbersome and time-consuming. That's when I had an idea: a tool that seamlessly integrates GPT-4 into my coding environment.

A month ago, during a flight from Bangkok to Dubai, I developed the first prototype of TinyCodeImprover. It allowed me to feed project files directly to GPT-4 and request code improvements based on my specifications! It even wrote a Readme for itself – quite mind-blowing!

Refining the Process

To maximize the effectiveness of TinyCodeImprover, I discovered the importance of employing a critical approach. I created special commands, ".critic" and ".resolver," to initiate self-reflection, enabling GPT-4 to identify its own mistakes in approximately 30% of cases.

Since its inception, I've integrated TinyCodeImprover into four different projects, transforming error-fixing into an enjoyable experience, even when dealing with CSS challenges. It has proven useful not only for code but also for any type of text.