It becomes obsolete in literally weeks, and it also doesn't work 80% of the time. Like why write a mcp server for custom tasks when I don't know if the llm is going to reliably call it.

My rule for AI has been steadfast for months (years?) now. I write (myself, not AI because then I spend more time guiding the AI instead of thinking about the problem) documentation for myself (templates, checklist, etc.). I give ai a chance to one-shot it in seconds, if it can't, I am either review my documentation or I just do it manually.

> I haven't tried complex coding tasks using Gemini 3.0 Pro Preview yet. I reckon it won't be materially different.

Gemini CLI is open source and being actively developed, which is cool (/extensions, /model switching, etc.). I think it has the potential to become a lot better and even close to top players.

The correct way of using Gemini CLI is: ABUSE IT! With 1M Context Window (soon to be 2M) and generous daily (free) quota are huge advantages. It's a pity that people don't use it enough (ABUSE it!). I use it as a TUI / CLI tool to orchestrate tasks and workflows.

> Fun fact: I found Gemini CLI pretty good at judging/critiquing code generated by other tools LoL

Recently I even hook it up with homebrew via MCP (other Linux package managers as well?), and a local LLM powered Knowledge/Context Manager (Nowledge Mem), you can get really creative abusing Gemini CLI, unleash the Gemini power.

I've also seen people use Gemini CLI in SubAgents for MCP Processing (it did work and avoided polluting the main context), can't help laughing when I first read this -> https://x.com/goon_nguyen/status/1987720058504982561

Currently Claude Code is the best, but I don't think Anthropic would pivot it into what I described. Maybe we still need to wait for the next groundbreaking open-source coding agent to come out.

Sure, software in general will keep evolving rapidly but the methods and tools to build software need to be relatively more stable. E.g. many languages and frameworks come and go, but how we break down a problem, how we discover and understand codebases, etc. have more or less remained steady (I think).

I see this a paradox and have no idea what the state of equalibrium will look like.

you don't need claude code, gemini-cli or codex I've been doing it raw as a (recent) lazyvim user with a proprietary agent with 3 tools: git, ask and ripgrep and currently gemini 3 is by far the best for me even without all these tricks.

gemini 3 has a very high token density and a significantly larger context than any model that is actually usable, every 'agent' I start shoves 5 things into the context:

- most basic instructions such as: generate git format diff only when editing files and use the git tool to merge it (simplified, it's more structured and deeper than this)

- tree command that respects git ignore

- $(ask "summarize $(git diff)")

- $(ask "compact the readme $(cat README.MD"))

- (ripgrep tools, mcp details, etc)

when the context is too bloated I just tell it to write important new details to README.MD and then start a new agent

https://github.com/kagisearch/ask

Tip 1, it consistently ignores my GEMINI.md file, both global and local. Even though it's always saying that "1 GEMINI.md file is being used", probably because the file exists in the right path.

Tip 12, had no idea you could do this, seems like a great tip to me.

Tip 16 was great, thanks. I've been restarting it everytime my environment changes for some reason. Or having it run direnv for me.

All the same warnings about AI apply for Gemini CLI, it hallucinates wildly.

But I have to say gemini cli gave me my first real fun experience using AI. I was a late comer to AI, but what really hooked me was when I gave it permission to freely troubleshoot a k8s PoC cluster I was setting up. Watching it autonomously fetch logs, objects, troubleshoot until it found the error was the closest thing to getting a new toy for christmas for me in many years.

So I've kept using it, but it is frustrating sometimes when AI is behaving so stupid you just /quit and do it yourself.

it's really really terrible at agentic stuff

> Loaded cached credentials. > Hello world! I am ready for your first command. > gemini -p "hello world" 2.35s user 0.81s system 33% cpu 29.454 total

seeing between 10-80 seconds for responses on hello world. 10-20s of which is for loading the god damn credentials. this thing needs a lot of work.

But I can't help but to get "AI tutorial fatigue" from so many posts telling me about how to use AI. Most are garbage, this one is better than most. Its like how javascript developer endlessly post about the newest ui framework or js build tool. This feels a lot like that.

And the GPT-5 Codex has a very somber tone. Responses are very brief.

Considering that access is limited to the countries on the list [0], I wonder what motivated their choices, especially since many Balkan countries were left out.

[0]: https://developers.google.com/gemini-code-assist/resources/a...

Best practices for gambling

https://news.ycombinator.com/item?id=46048996

Who the heck trusts this jank to have wanton reign on their system?

still i had high hopes for gemini 3.0 but was let down by the benchmarks i can barely use it in cli however in ai studio its been pretty valuable but not without quirks and bugs

lately it seems like all the agentic coders like claude, codex are starting to converge and differentiated only by latency and overall cli UX and usage.

i would like to use gemini cli more even grok if it was possible to use it like codex

Gemini models are actually pretty capable but Gemini CLI tooling makes them dumb and useless. Google is simply months behind Anthropic and OpenAI in this space!

There needs to be a lot more focus on the observability and showing users what is happening underneath the hood (especially wrt costs and context management for non-power users).

A useful feature Cursor has that Antigravity doesn't is the context wheel that increases as you reach the context window limit (but don't get me started on the blackbox that is Cursor pricing).

I’m noticing more workflows stressing the need for lightweight governance signals between agents.

Integration with Google Docs/Spreadsheets/Drive seems interesting but it seems to be via MCP so nothing exclusive/native to Gemini CLI I presume?

Its just really good yet.

I recently tried IntelliJs Junie and i have to say it works rather well.

I mean at the end of the day all of them need a human in the loop and the result is just as good as your prompt, tho with Junie i at least most of the time got something of a result, while with gemini 50% would have been a good rate.

Finally: Still dont see agentic coding for production stages - its just not there yet in terms of quality. For research and fun? Why not.

It Fucked up the entire repot. It hard coded tenant ids and used ids, it completely destroyed my UI. Broke my entire grpahql integration. Set me back 2 weeks of work.

I do admit the browse version of Gemini chat does much better job at providing architecture and design guidance time to time.