If you think of Apple today, you probably think of an iPhone or a Mac. But the original Apple I was a simple PC board and required a little effort to start up a working system. [Artem] has an Apple I reproduction PCB, and decided to build it on camera so we could watch.

For the Apple I, the user supplied a keyboard and some transformers, so [Artem] had to search for suitable components. He wisely checks the PCB to make sure there are no shorts in the traces. From there, you can watch him build the machine, but be warned: even with speed ups and editing, the video is over an hour long.

If you want to jump to the mostly working device, try around the 57-minute mark. The machine has a basic ROM monitor and, of course, needs a monitor. There was a small problem with memory, but he eventually worked it out by inhibiting some extra RAM on the board. Troubleshooting is half of the battle getting something like this.

Want to look inside the clock generator chip? Or skip the PCB and just use an FPGA.

Although generative AI and large language models have been pushed as direct replacements for certain kinds of workers, plenty of businesses actually doing this have found that using this new technology can cause more problems than it solves when it is given free reign over tasks. While this might not be true indefinitely, the real use case for these tools right now is as a kind of assistant to certain kinds of work. For this they can be incredibly powerful as [Ricardo] demonstrates here, using Amazon Q to help with game development on the Commodore 64.

The first step here was to generate code that would show a sprite moving across the screen. The AI first generated code in all caps, as was the style at the time of the C64, but in [Ricardo]’s development environment this caused some major problems, so the code was converted to lowercase. A more impressive conversion was done in the next steps, as the program needed to take advantage of the optimizations found in the Assembly language. With the code converted to 6502 Assembly that can run on the virtual Commodore, [Ricardo] was eventually able to show four sprites moving across the screen after several iterations with the AI, as well as change the style of the sprites to arbitrary designs.

Although the post is a bit over-optimistic on Amazon Q as a tool specifically for developers, it might have some benefits over other generative AIs especially if it’s capable at the chore of programming in Assembly language. We’d love to hear anyone with real-world experience with this and whether it is truly worth the extra cost over something like Copilot or GPT 4. For any of these generative AI models, though, it’s probably worth trying them out while they’re in their early stages. Keep in mind that there’s a lot more than programming that can be done with some of them as well.