ErrEase

Inspiration

As a developer, I have always faced the challenge of deciphering cryptic error messages while coding. It not only slows down the development process but also leads to frustration and demotivation. I wanted to create a solution that could help developers, especially those new to programming, understand these error messages more easily and provide actionable solutions. That's when the idea of ErrEase struck me – an intelligent tool powered by the OpenAI GPT language model that simplifies error understanding and offers solutions.

What it does

It allows users to input error messages and provides clear explanations in plain language. Additionally, ErrEase offers step-by-step solutions and recommendations, guiding developers through the debugging process effortlessly.

How we built it

I was learning how to work with API using OpenAI. ErrEase was built using React and Next.js for the front-end, integrating with the OpenAI GPT language model API for error analysis. A simple Node.js server with Express handles API requests. The application features an infinite news ticker for announcements. Error handling and loading animations optimize user experience. Git was used for version control, and the app was deployed on a web server.

Challenges we ran into

So I am new to React and Next and face beginner-level challenges with it.

Accomplishments that we're proud of

To build my first project and participate in my firsr hackathon.

What we learned

Learned about various tech stacks. Also learned that Prompt engineering is an exciting and dynamic field that empowers developers and creators to shape the capabilities of AI models like never before. Through the art of crafting prompts, one can influence the behavior and output of AI, making it a powerful tool for an array of applications across industries.