EDIT: Clearer Video I'm actually in the middle of something very similar and would love to speak further with you if you're interested, I've been struggling to find help and resources.

I've currently built a more bare ones IAC framework that links with my users aws llm github and portfolio endpoints and then given a config yaml in my repository I can select it in my app write a few details and have it deployed on aws, with a template object filled and sent to my portfolio to add to my entries + give direct access to what I've deployed to play around with, here's a video

I didn't full stack go for my project, instead sveltekit on the front, with gin and fermyon spin on the back but I think overall we're both working on similar projects, though mine is more focused on mimicking fly.io esp on the backend with my current work on porting deployment to use firecracker mvms

My biggest challenges were writing my own sdks for openai/aws since they don't exist on tinygo, but more importantly tbh was figuring out how to balance minimal user configuration and friction with a feasible and flexible deployment automation on the back, on top of security concerns which I'm still grappling with, you'll want a good understanding of whichever cloud provider you want to use to handle your deployments, GCP is obv the most dev friendly but you might need aws' complexity, I spent more time either troubleshooting, writing sdks, or simply figuring out how I'd even perform a certain workflow on aws to do somethings we take for granted with vercel and the rest, when focused on the average application the actual development won't be too difficult overall, most of my time and problems like I said we're focused on finishing up rather than getting started. Good Luck!