Inspiration

Debugging and writing test cases often takes a lot of time and slows down development. I wanted to build something that could automate this process and make coding more efficient.

What it does

Bug Resolver AI Agent automatically analyzes issues, suggests code fixes, and generates test cases. It integrates with GitLab to trigger actions in real-time and provides a simple UI to interact with the system.

How we built it

Built using Python and Flask, with AI powered by Groq API. GitLab webhooks are used for automation, and a lightweight database stores user activity and history.

Challenges we ran into

Setting up GitLab webhooks with a local server, handling API responses correctly, and ensuring consistent AI outputs were the main challenges.

Accomplishments that we're proud of

Successfully built an end-to-end AI agent that integrates with GitLab, automates debugging tasks, and includes a working UI with authentication and history tracking.

What we learned

Learned how to integrate AI into real workflows, handle webhooks, build full-stack apps, and manage multiple components together.

What's next for Bug Resolver AI Agent

Improve AI accuracy, add real-time collaboration features, and enable automatic merge request creation for a complete SDLC solution.

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