This is a submission for the GitHub Copilot CLI Challenge
What I Built
Yet another Fact or Fiction game where players are challenged to determine whether a presented quote is authentic—actually said by the influencer it’s attributed to—or an AI-generated quote mimicking that influencer’s tone and style.
This project is more of a proof of concept than a fully polished game, but it was a journey I truly enjoyed.
Demo
GitHub repo:
https://github.com/sulib88/SaidItOrNot
Live demo:
https://said-it-or-not-frontend-nu71tjrki-abdul-rahman-kayalis-projects.vercel.app.
Walkthrough video:
https://youtu.be/u_0l76yD5_k.
My Experience with GitHub Copilot CLI
I intentionally chose a tech stack that I wasn’t deeply experienced with, confident that GitHub Copilot CLI would be capable enough to help me bring my idea to life.
I began in plan mode, where I provided Copilot CLI with a detailed description of the concept I wanted to build. I outlined the desired project structure (backend and frontend), listed the required features, and specified the deployment platform I wanted to use—Vercel. Based on that input, Copilot CLI generated a complete solution that included both the backend and frontend, and even guided me through deploying the project to Vercel, a platform I hadn’t worked with before.
Throughout development and testing, Copilot CLI was extremely helpful in troubleshooting errors. It provided clear, actionable guidance—such as how to configure environment variables in Vercel and how to properly deploy the application.
The need to edit files in VS Code went to the minimum, and I barely needed to do that.
Overall, GitHub Copilot CLI enabled me to implement an idea using unfamiliar technologies and services with confidence. Without it, I would have spent a significant amount of time reading documentation just to reach the same result.
Finally, I managed to complete the game using only free credits. I relied mostly on the Claude Haiku 4.5 model, which proved to be incredibly effective.
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