What if their telemetry shows very low usage? I've seen virtually no discussion of Gemini CLI online.

There are 13,700 forks of its repo on Github.

If anything, I suspect closing the source for their coding agent may have been part of the goal.

If the repo is already forked, what difference does it make if Google supports it or not? The community can just continue development if they so choose

google can kill your account for using an unsupported harness when/if they choose

Complete bs. Gemini models are on OpenRouter just like any other models.

But then you have to pay by the token instead of the subsidized subscription prices

oh, so finally it is about money not open source.

It's the code they develop going forward that matters.

Forks don't mean anything anymore, especially on an AI-related repo. 99% of them are automated.

Whats to discuss, it works, it does the job, cant complain.

There's a fair amount of enterprise usage. It's a really good product, despite the Claude hype. Anthropic is a PITA to deal with, and it's slow as shit weekday morning Eastern time.

Gemini CLI for Enterprise will continue.

> If your organization uses Gemini CLI or our IDE extensions via a Gemini Code Assist Standard or Enterprise license, or if your organization uses Gemini Code Assist for GitHub through Google Cloud, your access remains unchanged.

I use all 3 compared to what do you think Gemini CLI is a good product? (my only use case for it now is triple checking specifications for drift inconsistencies beyond that I find it pretty lacking compared to codex and cc).

I think for the average corporate person in a non-software company, the "out of box" experience is better with Gemini. It's also cheap.

Once you get deeper into it, both Codex and Claude have better integrations with skills, etc. I sort of "discovered" skills via GStack and now use a few things, I find Claude's performance infuriating, but it can do more things. I happily pay $200 for Claude now, mostly for my own personal stuff. I think Gemini is better at external data sourcing and coding complex math.

But note this is my anecdotal take, mostly in the context of hobby projects. I'm a journeyman AI slinger at best.

Except complaints that it's horrible, you mean?