I switched from Copilot to Codeium after only a couple of months of Copilot use - just based on the cost since currently I’m just a hobby coder.
The main difference I’ve noticed is that Codeium doesn’t seem as smart about the local context as Copilot. Copilot would look at how I’m handling promises in a project, and stick to that, whereas Codeium would choose a strategy seemingly at random.
A second, and maybe more telling example, is that I do my accounts using ‘plain text accounting’ in VS Code. This is a very niche approach to accounting software and I imagine is hardly in the training sets at all - there certainly would not be a lot of public domain text accounts in the particular format (BeanCount) I use in public code repositories. Codeium doesn’t make any suggestions for entries as I’m entering transactions, whereas Copilot would see that the account names I’m using are present in another file in the project and suggest them, and very quickly figure out the formatting of transactions and suggest them correctly.
My step-up from Pi was to ebay HP 800 G1 minis then G2’s. They are really well made, there’s full repair manuals available, and they are just a pleasure to swap bits in and out. I’ve heard good things about, and expect similar build quality from the 1 liter Lenovos.
I agree that RAM is a likely constraint rather than processor for self-hosting workloads. Particularly in my case as I’m on Proxmox and run all my docker containers in separate LXCs. I run 32GB in the G2’s which was a straightforward upgrade (they take laptop like memory). One some of them I’ve upgraded the SSDs, or if not, I’ve added M.2 NVME drives (that the G2’s have a slot for).