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5 Things to Try with Gemini 3 Pro in Gemini CLI

recitedropper

Nice, without this thread I would never have known Gemini 3 released today.

Going to download Gemini CLI right now™ and see how it performs™ against Cursor, Claude Code, Aider, OpenCode, Droid, Warp, Devin, and ForgeCode.

pton_xd

Windsurf, Copilot, Codex, Q, JetBrains, Replit, hello? Get with the program!

null

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cortesoft

There are currently 6 front page posts about Gemini 3 being released today.

ttoinou

It's not enough it should be at least 10

lefrenchy

I can't even sign in via the CLI, it's opened the browser window and had me sign in multiple times and can't proceed past that.

ipsum2

Wow, so excited to try!

> gemini

It seems like you don't have access to Gemini 3. Learn more at https://goo.gle/enable-preview-features To disable Gemini 3, disable "Preview features" in /settings. • 1. Switch to gemini-2.5-pro • 2. Stop Note: You can always use /model to select a different option.

Google never disappoints with their half-ass-launches.

navanchauhan

I believe this is because you are logged in. You can generate a free API key (with very low limits) through Google AI Studio and use that to test it.

In an ideal world, this workaround would not be needed

¯\_(ツ)_/¯

ionwake

or you know a normal world where google could get their act together tying together their different business logic

embedding-shape

Correct me if I'm wrong, but in this demo video of the user instructing the model to use `git bisect` to find a commit (https://storage.googleapis.com/gweb-developer-goog-blog-asse...), doesn't this actually showcase a big issue with today's models?

In the end, the model only ran `git bisect` (if we're to believe the video at least) for various pointless reasons, it isn't being used for what it's usually used for. Why did it run bisect at all? Well, the user asked the LLM to use `git bisect` to find a specific commit, but that doesn't make sense, `git bisect` is not for that, so what the user is asking for, isn't possible.

Instead of the model stopping and saying "Hey, that's not the right idea, did you mean ... ?" so to ensure it's actually possible and what the user wants, the model runs its own race and start invoking a bunch of other git commands, because that's how you'd find that commit the user is looking for, and then finally does some git bisecting stuff just for fun, it had already found the right commit.

I think I see the same thing when letting LLMs code as well. If you give them some work to do that is actually impossible, but the words kind of make sense, and it'll produce something but not what you wanted, I think they're doing exactly the same thing, bypassing what you clearly instructed so they at least do something.

I'm not sure if I'm just hallucinating that they're acting like that, but LLMs doing "the wrong thing" has been hitting me more than once, and imagining something more dangerous than `do a git bisect`, it seems to me like that video is telling us Gemini 3 Pro will act exactly the same way, no improvements on that front.

Also, do these blog posts not go through review from engineering before they're published? Besides the video not really showcasing anything of interest, the prompt itself doesn't make any sense and would have been caught if a engineer who uses git at least weekly reviewed it before.

8organicbits

Looks right to me. At t=0:50 it shows other git bisect commands being run. The git biset reset at the end is ending bisection as it's complete.

Video is really a terrible format for terminal demos, you've got to pause it as the screen flashes text faster than you can read...

embedding-shape

> Looks right to me. At t=0:50 it shows other git bisect commands being run. The git biset reset at the end is ending bisection as it's complete.

But what is that actually doing? It looks like when it's running the git bisect, it already knows what the commit is, and could have just returned it. The only reason it ran any bisecting at all, was because the user (erroneously) asked it specifically to use git bisect. It didn't have to.

chis

Has anyone switched to Gemini CLI? It's so important but also exhausting keeping up with which model is the leading edge. Especially since every model has different idiosyncrasies you have to learn to work with it effectively.

Currently my ranking is

* Cursor composer: impressively fast and able but not tuned to be that agentic, so it's better for one-shot code changes than long-running tasks. Fantastic UI.

* Claude Code: Works great if you can set up a verifiable environment, a clear plan and set it loose to build something for an hour

* Grok: Similar to cursor composer but slower and more agentic. Not currently using.

* ChatGPT Codex, Gemini: Haven't tried yet.

embedding-shape

I haven't tried Gemini CLI with Gemini 3 Pro, but pretty much all the others. I usually run four agents at the same time, for each task, giving them the same prompt and then comparing their responses.

Gemini CLI has the lowest rate limits, lowest inability to steer the models (not sure that's a model or tooling thing, but I cannot get any of the Google models to stop outputting code comments constantly and everywhere) and seemingly the API frequently becomes unavailable for some reason.

Claude Code is fast, easy to steer, but the quality really degrades really quickly and randomly, seemingly by time of day. I'm not sure if they're running differently quanitized models during different times, but there is a clear quality difference depending on when in the day I use it, strangely. Haven't found a way of verifying this though, ideas welcome.

Codex CLI is probably what I use the most, with "gpt-5+high", which is kind of slow, a lot slower than Claude Code, but it almost always gets it right on the first try, and seemingly no other model+tool does instruction following as good, even if your AGENTS.md is almost overflowing with rules and requirements, it seems to nail things anyways.

nateb2022

> Gemini CLI has the lowest rate limits

For Gemini 3.0, the rate limits are very very generous. Google says rate limits refresh every five hours, and that only “a very small fraction of power users” will ever hit the limits.

joedevon

Codex has gotten kind of nerfed with their weird choice to limit loc read to 250 and dropping middle of context a lot. None of the CLIs are performing well for me right now. I'm codex and claude max btw. Disappointing.

dinkleberg

Maybe these new releases bring some serious enhancements, but my experience with the Gemini cli has been dreadful. It craps out at least half of the time. When it works it is ridiculously fast so I keep trying it. But it has proven very inferior to the Claude code experience in my usage

malnourish

I'm still using Roo Code with Litellm. I haven't yet found or heard a compelling reason to switch.

all2

I just use claude code for most things. I'll fall back to a web UI (Grok, Claude, or Gemini, depending on what service I've exhausted) if I need to.

esafak

I think the TUI agents are pretty similar; I can use CC, Codex, Gemini, and opencode interchangeably.

bobson381

make a cli router like openrouter that just accepts your args and passes them to whichvever one is leading at the moment? could be fun.

bionhoward

model provider CLIs are a trap, less freedom of choice, less privacy, way more prohibitions buried in the fine print

renewiltord

Codex with gpt-5-high I trust to get things right without much effort. Claude is the best tool using agent out there. Very good at using the tools to ground whether changes are producing outcomes.

null

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alecco

I don't like Javascript for CLI. I think OpenAI did the right thing by switching to Rust.

nateb2022

Considering a lot of people will be using Gemini on fullstack or frontend applications, it doesn't make sense to write the CLI in Rust and integrate with JS/TS separately, as opposed to writing it in TypeScript so that you can directly work with packages within the ecosystem designed for that ecosystem.