Been messing around with AI game development in my free time over the past month and came away with a few thoughts:

1) Instant Changes: Being able to prompt changes while actively playing a game is pretty incredible. Find a bug? Queue up a fix. Want to tweak a mechanic? Test it immediately, see how it feels, and revert if it doesn’t work. The speed of iteration is wild.

2) Simulating Player Experience: AI can also simulate gameplay at a magnitude higher than with play testers using the rules you’ve created. For example, you can run thousands of simulated roguelite runs to identify where players might fail, whether difficulty is balanced, or which mechanics aren’t working.

3) Real Player Analytics in Prompting: You can integrate real player analytics to see where real players are dropping off, struggling, or abandoning runs, compare that against simulated outcomes, and suggest adjustments. Combine with 2) and you get amazing feedback on iterating for retention.

4) Quick to MVP: Most games are not replacing high-quality Blender models, professional animation, or AAA production anytime soon. But it’s incredibly good at building MVPs, experimenting with mechanics, and collaborating with friends to find a game loop that could work. Quality game dev teams won't be replaced in sea of slop.

5) IP is not a safe haven: If you put a game idea online, it'll be whipped up with Claude in 8 hours and slapped into Roblox. Your IP will be chopped and remixed and smashed together with two others. Quality will win out, but a an idea is a dime a dozen. Nothing is safe.

6) Distribution is King: If anyone can make a game, there are going to be hundreds of thousands of them every month. There are more video games releasing than we can ever hope to see or play. Distribution becomes more important than ever. (Creators with an audience, you matter!)

What're your thoughts? Did i miss the mark? Let me know.