Iterative Development with Gemini CLI

I’ve had Gemini CLI installed on my workstation since August 2025.

Originally, it would default to use the gemini-2.5-pro model and your "access" to that would run out for the day, and it would switch to using gemini-2.5-flash. I found the flash model to be adequate for the way I’d use it to do Clojure and ClojureScript, so most the time I’d override it to just use flash from the beginning. I thought I could kick over to pro if I found a problem for which I’d need more power.

Eventually, Gemini CLI started switching back and forth between models more intelligently, so it didn’t burn through your limited access to pro, so I no longer override it with 3.0 models.

The AI agent by itself has read lots of documentation, and it’s pretty good at Googling the answers to questions and picking something to try. (I often get a bit of analysis paralysis when trying to choose a library.) It can be surprisingly good at translating sample usage of some JavaScript library it finds into a simple bit of ClojureScript.

In my experience, it’s sometimes bad at matching parentheses, so I just fix them myself. Recently, it may be getting better, and some Clojure MCP projects can cleanup parentheses automatically.

I only ask it to do small tasks, and I closely review and test the code it generates. When it looks good, I commit and push the code, but I know I can always easily go back to a previous working version when the AI goes off the rails. I don’t have to worry too much about it getting too confused or destroying something. I tell it to forget what we were doing, /clear the context, or just restart the agent completely, and recover my known good state from git.

I find that even if it fails to complete a task, I at least learn a little from what it did, and often have an initial direction or two to explore.

It’s pretty good at keeping my momentum when working and keeping me from spinning my wheels, like pairing with another programmer.