This is a submission for the GitHub Finish-Up-A-Thon Challenge
What I Built
I built Local PDF, a completely local, privacy-first utility website designed to handle all your PDF processing needs right in the browser. The idea started because I wanted a fast, reliable tool that didn't force users to upload their sensitive documents to the cloud. As I navigate my first year of computer science, what makes this project so meaningful to me is that it was my true gateway into advanced, real-world development. It wasn't just another assignment; it was something I built from scratch to solve a real problem.
Demo:
Localpdf — Your PDFs. Done in Seconds. Right in Your Browser.
Free online PDF tools that work entirely in your browser. Compress, merge, and split PDFs instantly with no uploads, no registration, and no data stored.
localpdf.dev
The Comeback Story
When I first started this project, my workflow was a complete mess. It was entirely disconnected. At one crucial point, the app was lagging horribly, the components were breaking, and I couldn't figure out why. I sat there for 45 incredibly frustrating minutes, just staring at my screen, trying to trace the errors by myself.
It was my very first time experimenting with AI agents in a development environment, and the complexity felt overwhelming. Honestly, I was completely drained. I was so close to just shutting my laptop, throwing my hands up, and postponing the whole thing for "tomorrow"—which, let's be real, often means abandoning it entirely. The barrier felt too high.
But instead of giving up, I decided to try a different approach. I stepped back, engineered a clear prompt to gather my thoughts using ChatGPT, and then I turned to the auto model selection feature in GitHub Copilot right inside VS Code.
My Experience with GitHub Copilot
That decision completely turned the project around. I asked Copilot to analyze the repository, and within just a few minutes, it handed me a comprehensive report detailing exactly where the bottlenecks were and why the app was breaking. I was absolutely blown away by how it handled the chaos of my code. I applied the changes it suggested, and it worked flawlessly.
If Copilot hadn't helped me in that exact moment, that bug would have been the end of the road for Local PDF. But more importantly, solving that problem gave me an incredible surge of confidence. It made me realize that I can build complex, ambitious things. Since that night, I've gone on to build multiple other projects, and I haven't felt those negative emotions or the heavy weight of imposter syndrome while coding ever again. Copilot didn't just fix my code; it changed how I feel about being a developer.
Top comments (0)