glitchlog

Inspiration

Modern developers waste hours manually finding and fixing bugs. Many bugs go unnoticed until users report them, which hurts user experience and slows down development. I wanted to create a tool that automatically finds bugs and helps developers fix them before they become serious problems.

What it does

GlitchLog is an AI-powered bug detection platform.

First, you upload your app to GlitchLog. Then, the AI scans your project for bugs, errors, and potential issues. It notifies you about the problems and recommends solutions to fix them quickly.

This helps developers save time, improve code quality, and ship more reliable apps.

I built GlitchLog using:

Supabase for the backend, database, and authentication

DeepSeek API for AI bug detection and solution recommendations

Ideavo.ai to help accelerate development

Vercel for deployment and hosting

Challenges I ran into

One of the main challenges was fixing issues in the Supabase project and making everything work correctly in production.

Deploying and connecting all the parts together smoothly on Vercel also required debugging and testing.

Making the AI responses useful and structured was another challenge.

Accomplishments that we're proud of

I built a fully working AI SaaS product in just 2 days.

It can:

Accept user projects

Scan for bugs

Notify users

Recommend fixes

This proves the core concept works.

What I learned

I learned:

How to integrate AI APIs into a real product

How to use Supabase in production

How to deploy a full-stack app on Vercel

How to build and launch a SaaS quickly

I also learned how to turn an idea into a working product fast.

What's next for GlitchLog

Next, I plan to add:

GitHub integration to scan repos automatically

Real-time monitoring

Better AI bug analysis

Team support

A dashboard with detailed reports

My goal is to turn GlitchLog into a complete AI debugging assistant for developers.

Built With

• deepseek
• ideavo
• supabase