Gemini CLI

Google suffers from Microsoft's issues: it has products for almost everything, but its confusing product messaging dilutes all the good things it does.

I like Gemini 2.5 Pro, too, and recently, I tried different AI products (including the Gemini Pro plan) because I wanted a good AI chat assistant for everyday use. But I also wanted to reduce my spending and have fewer subscriptions.

The Gemini Pro subscription is included with Google One, which is very convenient if you use Google Drive. But I already have an iCloud subscription tightly integrated with iOS, so switching to Drive and losing access to other iCloud functionality (like passwords) wasn’t in my plans.

Then there is the Gemini chat UI, which is light years behind the OpenAI ChatGPT client for macOS.

NotebookLM is good at summarizing documents, but the experience isn’t integrated with the Gemini chat, so it’s like constantly switching between Google products without a good integrated experience.

The result is that I end up paying a subscription to Raycast AI because the chat app is very well integrated with other Raycast functions, and I can try out models. I don’t get the latest model immediately, but it has an integrated experience with my workflow.

My point in this long description is that by being spread across many products, Google is losing on the UX side compared to OpenAI (for general tasks) or Anthropic (for coding). In just a few months, Google tried to catch up with v0 (Google Stitch), GH Copilot/Cursor (with that half-baked VSCode plugin), and now Claude Code. But all the attempts look like side-projects that will be killed soon.

Actually, that's the reason a lot of startups and solo developers prefer non-Google solutions, even though the quality of Gemini 2.5 Pro is insanely high. The Google Cloud Dashboard is a mess, and they haven't fixed it in years. They have Vertex that is supposed to host some of their models, but I don't understand what's the difference between that and their own cloud. And then you have two different APIs depending on the level of your project: This is literally the opposite of what we would expect from an AI provider where you start small and regardless of the scale of your project, you do not face obstacles. So essentially, Google has built an API solution that does not scale because as soon as your project gets bigger, you have to switch from the Google AI Studio API to the Vertex API. And I find it ridiculous because their OpenAI compatible API does not work all the time. And a lot of tools that rely on that actually don't work.

Google's AI offerings that should be simplified/consolidated:

- Jules vs Gemini CLI?

- Vertex API (requires a Google Cloud Account) vs Google AI Studio API

Also, since Vertex depends on Google Cloud, projects get more complicated because you have to modify these in your app [1]:

``` # Replace the `GOOGLE_CLOUD_PROJECT` and `GOOGLE_CLOUD_LOCATION` values # with appropriate values for your project. export GOOGLE_CLOUD_PROJECT=GOOGLE_CLOUD_PROJECT export GOOGLE_CLOUD_LOCATION=global export GOOGLE_GENAI_USE_VERTEXAI=True ```

[1]: https://cloud.google.com/vertex-ai/generative-ai/docs/start/...

I had a conversation with Copilot about Copilot offerings. Here's what they told me:

If I Could Talk to Satya...

I'd say:

“Hey Satya, love the Copilots—but maybe we need a Copilot for Copilots to help people figure out which one they need!”

Then I had them print out a table of Copilot plans:

- Microsoft Copilot Free - Github Copilot Free - Github Copilot Pro - Github Copilot Pro+ - Microsoft Copilot Pro (can only be purchased for personal accounts) - Microsoft 365 Copilot (can't be used with personal accounts and can only be purchased by an organization)

There's also $300/mo AI ULTRA membership. It's interesting. Google One memberships even can't detail what "extra features" I can have, because it possibly changes every hour or so.

Google is fumbling the bag so badly with the pricing.

Gemini 2.5 Pro is the best model I've used (even better than o3 IMO) and yet there's no simple Claude/Cursor like subscription to just get full access.

Nevermind Enterprise users too, where OpenAI has it locked up.

I actually had this exact same question when I read the docs, made an issue about it:

https://github.com/google-gemini/gemini-cli/issues/1427

Anthropic is the same. Unless it has changed within the last few months, you can subscribe to Claude but if you want to use Claude Code it'll come out of your "API usage" bucket which is billed separately than the subscription.

Some jerk has learned that we prefer CLI things and has come to the conclusion that we should therefore pay extra for them.

Workaround is to use their GUI with some MCPs but I dislike it because window navigation is just clunky compared to terminal multiplexer navigation.

And they say our scale up is siloed. Leave it to google to show' em.

Thank you for your work on this. I spent the afternoon yesterday trying to convert an algorithm written in ruby (which I do not know) to vanilla JavaScript. It was a comedy of failing nonsense as I tried to get gpt-4.1 to help, and it just led me down pointless rabbit holes. I installed Gemini CLI out of curiosity, pointed it at the Ruby project, and it did the conversion from a single request, total time from "think I'll try this" to it working was 5 minutes. Impressed.

So, as a member of an organization who pays for google workspace with gemini, I get the message `GOOGLE_CLOUD_PROJECT environment variable not found. Add that to your .env and try again, no reload needed!`

At the very least, we need better documentation on how to get that environment variable, as we are not on GCP and this is not immediately obvious how to do so. At the worst, it means that your users paying for gemini don't have access to this where your general google users do.

Right now authentication doesn't work if you're working on a remote machine and try to authenticate with Google, FYI. You need an alternate auth flow that gives the user a link and lets them paste a key in (this is how Claude Code does it).

I'm just a hobbyist, but I keep getting the error "The code change produced by Gemini cannot be automatically applied. You can manually apply the change or ask Gemini to try again". I assume this is because the service is being slammed?

Edit: I should mention that I'm accessing this through Gemini Code Assist, so this may be something out of your wheelhouse.

Hi - I integrated Apple Container on M1 to run[1] the code generated by Gemini CLI. It works great!

1. CodeRunner - https://github.com/BandarLabs/coderunner/tree/main?tab=readm...

Google Gemini Google Gemini Ultra AI Studio Vertex AI Notebook LLM Jules

All different products doing the sameish thing. I don’t know where to send users to do anything. They are all licensed differently. Bonkers town.

Hi, Thanks for this work.

currently it seems these are the CLI tools available. Is it possible to extend or actually disable some of these tools (for various reasons)?

> Available Gemini CLI tools:

    - ReadFolder
    - ReadFile
    - SearchText
    - FindFiles
    - Edit
    - WriteFile
    - WebFetch
    - ReadManyFiles
    - Shell
    - Save Memory
    - GoogleSearch

Is there a way to instantly, quickly prompt it in the terminal, without loading the full UI? Just to get a short response without filling the terminal page.

like to just get a short response - for simple things like "what's a nm and grep command to find this symbol in these 3 folders". I use gemini alot for this type of thing already

Or would that have to be a custom prompt I write?

Yeah, and it's variable, can happen at 250k, 500k or later. When you interrogate it; usually the issue comes to it being laser focused or stuck on one specific issue, and it's very hard to turn it around. For the lack of the better comparison it feels like the AI is on a spectrum...

Current best practice for Claude Code is to have heavy lifting done by Gemini Pro 2.5 or o3/o3pro. There are ways to do this pretty seamlessly now because of MCP support (see Repo Prompt as an example.) Sometimes you can also just use Claude but it requires iterations of planning, integration while logging everything, then repeat.

I haven't looked at this Gemini CLI thing yet, but if its open source it seems like any model can be plugged in here?

I can see a pathway where LLMs are commodities. Every big tech company right now both wants their LLM to be the winner and the others to die, but they also really, really would prefer a commodity world to one where a competitor is the winner.

If the future use looks more like CLI agents, I'm not sure how some fancy UI wrapper is going to result in a winner take all. OpenAI is winning right now with user count by pure brand name with ChatGPT, but ChatGPT clearly is an inferior UI for real work.

I feel like you get more mileage out of prompt engineering and being specific... not sure if "fix all the bugs" is an effective real-world use case.

Projects like this have to update frequently, having a mechanism like npm or pip or whatever to automatically handle that is probably easier. It's not like the program is doing heavy lifting anyway, unless you're committing outright programming felonies there shouldn't be any issues on modern hardware.

It's the only argument I can think of, something like Go would be goated for this use case in principle.

Ask Gemini CLI to re-write itself in your preferred language

This isn't about quality products, it's about being able to say you have a CLI tool because the other ai companies have one

Looks like you could make a standalone executable with Bun and/or Deno:

https://bun.sh/docs/bundler/executables

https://docs.deno.com/runtime/reference/cli/compile/

Note, I haven't checked that this actually works, although if it's straightforward Node code without any weird extensions it should work in Bun at least. I'd be curious to see how the exe size compares to Go and Rust!

Node can also produce a single binary executable: https://nodejs.org/api/single-executable-applications.html

> and doesn't require you to install a runtime like Node.

My exact same reaction when I read the install notes.

Even python would have been better.

Having to install that Javascript cancer on my laptop just to be able to try this, is a huge no.

My thoughts exactly. Neither Rust not Go, not even C/C++ which I could accept if there were some native OS dependencies. Maybe this is a hint on who could be its main audience.

Have you checked the https://github.com/google-gemini/gemini-cli/blob/main/docs/c... ? It has a section for workspace accounts.

Same here.

It seems that you need to set up an env variable called GOOGLE_CLOUD_PROJECT https://github.com/google-gemini/gemini-cli/issues/1434

... and other stuff.

When I was using it in cursor recently, I found it would break imports in large python files. Claude never did this. Do you have any weird issues using Gemini? I’m excited to try the cli today

what's your workflow?

I find it hard to imagine that any of the major model vendors are suffering from demand shortages right now (if that's what you mean?)

If you mean: This is "inspired" by the success of Claude Code. Sure, I guess, but it's also not like Claude Code brought anything entirely new to the table. There is a lot of copying from each other and continually improving upon that, and it's great for the users and model providers alike.

Yea, i'm not even really interested in Gemini atm because last i tried 2.5 Pro it was really difficult to shape behavior. It would be too wordy, or offer too many comments, etc - i couldn't seem to change some base behaviors, get it to focus on just one thing.

Which is surprising because at first i was ready to re-up my Google life. I've been very anti-Google for ages, but at first 2.5 Pro looked so good that i felt it was a huge winner. It just wasn't enjoyable to use because i was often at war with it.

Sonnet/Opus via Claude Code are definitely less intelligent than my early tests of 2.5 Pro, but they're reasonable, listen, stay on task and etc.

I'm sure i'll retry eventually though. Though the subscription complexity with Gemini sounds annoying.

And since they have essentially unlimited money they can offer a lot for free/cheaply, until all competitors die out, and then they can crank up the prices

do you mean the genai endpoints?

I've had a good experience with https://kilocode.ai

It integrates with VS Code, which suits my workflow better. And buying credits through them (at cost) means I can use any model I want without juggling top-ups across several different billing profiles.

Or aider. In any case, while top llms will likely remain proprietary for some time, there is no reason for these tools to be closed source or tied to a particular llm vendor.