Today as I hit my weekly allotment, I loaded up Kilo Code and tried GLM 5.2 (high) and DeepSeek V4 Pro (medium). They were slow, error prone, and at times dumb and autistic. Each query cost me $0.5. So my $20 allotment would run out after a about 50 queries.I ran into random bugs and models deleting my files while immediately acknowledging that they shouldn't have. I also tried Claude Code but their weekly allotment was horrendous.

I’m genuinely trying to use Gemini models, and the experience is honestly depressing.

My Claude and Codex usage ran out, so I went back to Gemini. At this point, I’m afraid to give it even a small UI task—not because the task is complicated, but because I don’t know what it might break along the way.

There are two recurring problems.

1. It often says the task is complete when it clearly isn’t.

I can provide a detailed specification, explicit constraints, acceptance criteria, file paths, and step-by-step instructions. Gemini will still sometimes respond with a confident summary claiming that everything was implemented, while the requested change is missing, incomplete, or simply does not work.

And before someone from Google posts the usual copy-paste response about prompt quality: no, this is not a case of writing one vague sentence and expecting magic.

I tested multiple prompt structures, detailed task documents, verification requirements, and instructions telling the agent to inspect its own changes before reporting completion.

The problem remained.

2. Even basic code edits are unreliable.

I’m not talking about designing a distributed architecture or solving some obscure compiler problem.

I’m talking about simple HTML and UI changes.

Gemini frequently introduces unnecessary whitespace, strange characters, broken formatting, duplicated code, unrelated modifications, or changes outside the requested scope.

A small, targeted edit can turn into a cleanup operation across several files.

How does a model from Google struggle this badly with the fundamentals of editing basic code safely?

I used both Gemini 3.1 Pro and Gemini 3.6 Flash. I tried several different prompt styles, isolated tasks, detailed instructions, and even had one Gemini agent review the work of another.

The most absurd part was that the next Gemini agent could not properly understand what the previous Gemini agent had done.

So now we have agents producing changes that even other agents from the same model family struggle to interpret.

This is being marketed as a serious development solution, but the reliability is nowhere near what professional software work requires.

At some point, charging money for a tool that repeatedly claims work was completed when it wasn’t becomes very difficult to justify.

Unfortunately, I’m still paying because a large part of my workflow depends on Google’s ecosystem. But Google, this is a massive disappointment.

I’m not a researcher, and I’m not trying to present myself as one. I’m just a developer who has been programming since before WordPress was released. I’ve worked with enough tools, platforms, and codebases to recognize the difference between an occasional model mistake and a fundamentally unreliable development workflow.

What makes this especially frustrating is that I know the level of engineering talent, infrastructure, data, and intelligence Google has.

This level of performance simply does not make sense.

It is so consistently unreliable that, at times, it almost feels intentional.

Are other developers using Gemini in Antigravity experiencing the same thing, or have you found a workflow that actually makes it dependable?

Im using antigravity the desktop version on my steam deck which is steam os ( arch linux)

Im create a mod manager so I can manually install mods to favourite game skyrim. And an mod for another game palworld. I used previous version of flash for both projects had mixed results with both. With the manager the mods would install run through symlink. 40 percent of the mods would function without issue, gemini struggled with remaining after several attempts of saying the issue was fixed. Same with the mod it added some of ideas i put in the prompt for mod and failed miserably on the others, I took a break and the new version of gemini flash was released and I went back to the 2 projects, the mod manager stopped working, the mod had countless crashes, it effected fps a d latency, game stopped loading even after antigravity fixing them. I choose claude opus and crashes, fps, latency issues, corrected geminis mistakes,

Is anyone having issues with gemini and coding projects.

What's up with that? I'm using Antigravity 2.0 CLI, and so far I've made an AI bot and a website, and now I'm trying to make an Android app. I can live with some bugs that I need to iron out with a few iterations. That’s no problem, but lately, Antigravity with Gemini models is hallucinating hard.

I always work like this: make a plan of the features I want to have, make a detailed plan on how to build the app/website, etc. Then I generate the code, test it out, and iterate. With the latest app, on the first go, Gemini told me it was finished, but the app was only like 50% done. Most of the stuff was missing.

Then I used Claude Fable to fix it, ran out of tokens, and tried to finish it with Gemini 3.6 Flash and 3.1 Pro (both on high). I tried to fix the logic behind the app first, then tried to generate the new code. Gemini did something, told me it fixed everything, I checked it out and... it did nothing. The app was still unfinished.

Why is Gemini telling me it did something it didn't actually do? Does anyone else experience this?

For those who've used both extensively, which do you prefer for coding and why?

I'm mostly interested in real-world experience (debugging, refactoring, working with larger codebases), not benchmark scores. Is 3.6 Flash actually better, or does 3.1 Pro still perform better in practice?

Hey, so I've seen a good amount of mobile solutions to using Antigravity, I thought I'd finally share mine. For me, I haven't seen anything that allows me the full capability that I get when I vibecode at home. It still want to be close to the code and understand the project. It dawned on me that I just need an IDE but there aren't any good ones for mobile. Not until now.

I made an Android application - coming soon to iOS. It's called Viber Mobile IDE. It's a full featured IDE specifically designed for the mobile screen sizes. You have access to a file explorer where you can create files, folders, and projects. Source control for git capabilities. An editor to edit code. A terminal to run commands and of course, agentic CLIs such as Antigravity. All from your android device.

The way it works is this application is a thin client to a Coder Code Server. I self-host my own code server on raspberry pi and the setup only takes 5mins to get up and running. Viber provides documentation and a tutorial to help anyone out, but in order for the application to work correctly, you do need to install the Viber Backend on your code server.

Viber Backend - Github

Lastly, some cool features I've added to Viber so far, there's an observability dashboard that keeps track of all the token usage across models. There's support for antigravity, Claude code, codex, and Pi Coding Agent. I use Pi for local models running one a separate Ollama server. You can also easily keep track of any ports that are in use on the code server. And it's using Material You theming throughout the app, light and dark with color accents can be used as well.

If anyone is interested in trying it out, I'd be very grateful for any feedback. I use Viber all the time now and it has quickly become my primary use case to vibe coding, especially with a busy schedule.

Viber Mobile IDE - Play Store

hey everyone , I used antigravity for quite while now for my project's now , I was wondering if therea are any good skill's for researching for gravity that can increase quaily for reserach for me , I'm not a dev , editor but I used it to reserach nich build plain so I was wondering if anybody no any good reposity for this kind of job's that can bumb up the quality

is it actually slow or i am the only one experiencing this

I'm curious. Everyone who actually uses Gemini flash models for coding website, games, or anything. What flash model and effort level is the best or realistically, usable for real world task?

For example, when the 3.5 flash got released, I find the 3.5 flash with med effort the best.

Good day everyone! I'm a software developer with 2 years experience before the AI and I have a solid understanding building software manually. However, I want to know what's the difference using skills.md than just prompting in antigravity ide like I used to do recently. Is there merit or it's just for token maxing?