So I use Google Gemini to plan or review; otherwise same loop so brain dumping how I get Gemini to Qwen/Gemma/Meta's model I forget the codename for; local agent reads the AI Studio log locally via Google Drive where they store the logs by default in a JSON format

So with the gdrive app for my OS it just looks like a local file path. Had the local agent learn to parse it.

I still prompt in AI studio direct as needed; local agents see the log change but cannot push back to Gemini their result.

Few reasons:

AI Studio is available where ever via browser, no VS Code or my usual vim setup to miss. I can switch between projects there as an idea hits and the agent switches up the local repo path and session history.

AI studio can search web, etc, etc already so my agent is less complicated with addons in general

Also using AI Studio between local agent turns has been my "human in the middle" approach; to have an explicit gap in the process and check each turn.

I only have a 24GB 3090 most models also take longer locally and I never hit the free tier limits with Gemini :D

Though the latest Meta model is twice as fast at 30B for me as other similar size models. 1-2 hour code gen and QA of build errors is now 30-50 minutes to parse latest changes from Gemini and get a successful build. The Meta model is pretty great at "fill in the middle" from a well structured plan.

Overall this loop feels like a normal workday pace. I freelance so I have a lot more say over that.