Excuse me? If you mean AI Studio, are you talking about the product where you can’t even switch which logged in account you’re using without agreeing to its terms under whatever random account it selected, where the ability to turn off training on your data does not obviously exist, and where it’s extremely unclear how an organization is supposed to pay for it?
Hint: you can often avoid some of this mess by adding the authuser=user@domain to the URL.
Def use multiple chrome profiles if you aren't. You can color code them to make visual identification a breeze
I don't want my history, bookmarks, open tabs and login sessions at every website divided among my 5 GSuite workspace accounts and my 1 personal Gmail. That adds a bunch of hassle for what? The removal of a minor annoyance when I use these specific Google apps? That is taking a sledge hammer to a slightly bent nail.
If it works for you, great, that's why it's there. But doing this for anything more than the basic happy path setup of "I have one personal account and 1 GSuite work account" is nuts in my opinion.
Python is the primary implementation, Java is there, Go is relatively new and aiming for parity. They could have contributed the Typescript implementation and built on common, solid foundation, but alas, the hydra's heads are not communicating well
These other "frameworks" are (1) built by people who need to sell something, so they are often tied to their current thinking and paid features (2) sit at the wrong level. ADK gives me building blocks for generalized agents, whereas most of these frameworks are tied to coding and some peculiarities you see there (like forcing you to deal with studio, no thanks). They also have too much abstraction and I want to be able to control the lower level knobs and levers
ADK is the closest to what I've been looking for, an analog to kubernetes in the agentic space. Deal with the bs, give me great abstractions and building blocks to set me free. So many of the other frameworks want to box you into how they do things, today, given current understanding. ADK is minimal and easy to adjust as we learn things
ADK has an option to use litellm (openrouter alternative), among many options
https://google.github.io/adk-docs/agents/models/#using-cloud...
Like the OP others I didn't use the API for gemini and it was not obvious how to do that -- that said it's not cost effective to develop without a Sub vs on API pay-as-you-go, so i do no know why you would? Sure you need API for any applications with built-in LLM features, but not for developing in the LLM assisted CLI tools.
I think the issue with cli tools for many is you need to be competent with cli like a an actual nix user not Mac first user etc. Personally I have over 30 years of daily shell use and a sysadmin and developer. I started with korn and csh and then every one you can think of since.
For me any sort of a GUI slows me down so much it's not feasible. To say nothing of the physical aliments associated with excessive mousing.
Having put approaching thousands of hours working with LLM coding tools so far, for me claude-code is the best, gemini is very close and might have a better interface, and codex is unusable and fights me the whole time.
My spend is lower, so I conclude otherwise
> I think the issue with cli tools for many is...
Came from that world, vim, nvim, my dev box is remote, homelab
The issue is not that it is a CLI, it's that you are trying to develop software through the limited portal of a CLI. How do you look at multiple files at the same time? How do you scroll through that file
1. You cannot through a tool like gemini-cli
2. You are using another tool to look at files / diffs
3. You aren't looking at the code and vibe coding your way to future regret
> or me any sort of a GUI slows me down so much it's not feasible.
vim is a "gui" (tui), vs code has keyboard shortcuts, associating GUI with mouse work
> Having put approaching thousands of hours working with LLM coding tools so far, for me claude-code is the best, gemini is very close and might have a better interface, and codex is unusable and fights me the whole time.
Anecdotal "vibe" opinions are not useful. We need to do some real evals because people are telling stories like they do about their stock wins, i.e. they don't tell you about the losses.
Thousands of hours sounds like your into the vibe coding / churning / outsourcing paradigm. There are better ways to leverage these tools. Also, if you have 1000+ hours of LLM time, how have you not gone below the prepackaged experience Big AI is selling you?