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    Home»Machine Learning»I Let AI Build Me a Game using Amazon’s Q CLI. Here’s What Happened | by Zubeen | May, 2025
    Machine Learning

    I Let AI Build Me a Game using Amazon’s Q CLI. Here’s What Happened | by Zubeen | May, 2025

    Team_AIBS NewsBy Team_AIBS NewsMay 25, 2025No Comments3 Mins Read
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    Setting Issues Up

    Let’s get issues arrange earlier than we get to the vibe half. Putting in Amazon Q CLI on Ubuntu was smoother than anticipated. Right here’s how I acquired it up and working:

    Step 1: Obtain the Q CLI .deb bundle utilizing wget:

    wget https://desktop-release.q.us-east-1.amazonaws.com/newest/amazon-q.deb

    Step 2: Set up the bundle:

    sudo apt-get set up -f
    sudo dpkg -i amazon-q.deb

    Step 3: When you’re on Ubuntu like me, you’ll additionally want to put in this further bundle earlier than Q runs correctly:

    sudo apt set up libfuse2

    Step 4: Fireplace it up:

    q

    This launches the GUI instrument and prompts you to log in or create a Talent Builder account. When you’re in, you’re good to go.

    Image by author
    Log-in to your talent builder’s account

    Elective: To examine if every thing’s so as or repair any points with the setup, run the next:

    q physician

    Constructing the Sport

    With every thing arrange, it was time to let the Q magic start. I fired up the CLI and tossed in a immediate that went one thing like this:

    q /chat "Construct a sport for me in Python that imitates the retro sport Snake"

    Increase. On the spot outcomes.

    Not solely did Q spit out an entire Python script for a Snake sport, but it surely additionally saved a duplicate of it in my present work listing. After I requested it to run the sport, it identified that I had a lacking dependency, pygame. And as a substitute of constructing me change home windows or Google stuff like a caveman, Q dealt with it proper there in the identical terminal. One fast set up later, I had a working retro snake sport slithering throughout my display.

    That is what the sport script regarded like:

    And the most effective half? If I wished to tweak one thing, like make the snake sooner, change up the colour scheme, and even throw in a bizarre animation, all I needed to do was ask. Q up to date the code and defined the modifications because it went.

    Closing Ideas

    The entire expertise, from producing the code to resolving dependencies, felt much less like conventional coding and extra like jamming with an AI-powered dev buddy who will get it. Constructing the retro snake sport with Amazon Q CLI genuinely felt like collaborating with a pointy, environment friendly assistant who dealt with the setup and boilerplate so I may zero in on the enjoyable components.

    Alongside the best way, I experimented with a bunch of different issues on Q CLI, and it stored shocking me. The auto-complete within the terminal is a complete sport changer! The best way it walks you thru lacking dependencies and will get every thing working in seconds is simply sensible. It’s not simply useful, it feels just like the instrument is actively working with you.

    By the top of the weekend, I wasn’t simply impressed, I used to be genuinely rethinking how I method aspect initiatives. This wasn’t nearly constructing a sport, it was about discovering a brand new, extra collaborative and fluid solution to develop. And truthfully, 10/10 would vibe code once more.

    Oh, and right here’s the way it turned out…



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