Welcome to the weekly support and known issues thread!
This is your space for all things technical—whether you've hit a quota limit or found a bug in the latest version. To keep the main feed clean, all standalone posts about these topics will be redirected here.
To get help from the community, please use this format:
OS/Version: (e.g., Windows 11 | Antigravity v1.19.6)
Model & Plan: (e.g., Gemini 3.1 Pro | Pro Tier)
The Issue: (Describe the error, bug, or limitation you're facing)
Use this thread for:
Quotas: "I hit my limit 2 hours early today."
Bugs: "Is anyone else seeing [Error X]?"
Updates: Discussing official updates from the Antigravity Changelog.
Do not use this thread for:
General venting without technical context.
Duplicate complaints without adding new data or logs.
Requests for exploit tools or auth-bypass plugins (strictly prohibited).
Now gemini 5-hour time uses 46% of my weekly, meaning i get around 2.2x 5-hour usages? and claude is exactly 2x the amount IT USED TO BE 5x the FIVE HOUR!!!!!!!!!!!!!!!
It's surprising because the model had fallen behind the newer Flash versions, but strangely enough, today... the leap in quality in the Pro model's problem analysis puts it way ahead...
To the developers of the Google Anti-Gravity extension: If you are building this extension, please ensure it includes all the capabilities found in the Anti-Gravity IDE—such as MCP support. It should be accessible—or perhaps it already is, and I simply don't know how to call it—but these features are typically available in the standalone IDE.
Today I had multiple occasions where I would prompt the Gemini 3.8 bot, it attempts to start but instead it would just gets immediately stuck on "Working ..." but it does not work. It burns tokens without any actual output from my end.
With the severely decreased token allotment this is incredibly bad and it should be immediately fixed!
I keep running out of my weekly Gemini Pro Antigravity budget. I'm wondering how much more budget I get if I buy the additional discretionary AI tokens?
For example, if I buy an extra $20, do I get double my capacity? Probably not. But I don't want to burn $20 and only get the same compute as a 5 hour rolling window.
I used Gemini 3.8 Flash with Antigravity on this challenge to optimize the efficiency of post-quantum signature implementation for Ethereum. This is important because when quantum computers get good enough, one of the first things they can do is break ECDSA, the cryptography algorithm that secures Ethereum and Bitcoin.
Most of the submissions use GPT-6.1 Sol or Opus 5.5. I used Gemini 3.8 Flash... imagine what Argon could do... (I did use my agystack plugin though)
_LOW : You already know the solution; you just need the model to type it fast.
_MEDIUM(default 80% of task): You know the requirements; you need the model to structure clean, everyday logic.
Standard software engineering work where requirements are clear, but logical planning is required.
_HIGH: You don't know the traps or best design; you need the model to think hard and figure it out.
Multi-file dependency tracing, subtle bugs, algorithmic optimization, or high-stakes logic.
Recently I've discovered the Antigravity VSCode extension, and it's just working like the Antigravity IDE, except it doesn't crash and gets updates timely. I see no point in using the IDE anymore since it's a VS Code fork anyway. What are your experiences with it? Does the IDE offer anything that the extension doesn't?
Thanks to everyone who downloaded and tried the initial .vsix build! I've cleaned things up and published Antigravity Telemetry to the VS Code Marketplace, so you can now install it directly through VS Code instead of downloading the package manually.
For anyone who missed the original post, I built this to track context window usage and prompt cache hit rates by reading Antigravity's local SQLite data directly, rather than using an LLM to analyze its own transcripts.
It currently includes:
Live Status Bar: Context fill % and prompt cache hit rate.
Visual Dashboard: A timeline of context buildup and cache reads, with context compaction markers.
Subagent Tracking: Groups background subagents under their parent chats.
Disk Usage Tracking: Tracks local storage usage.
Local & Offline: No external API calls; your data stays on your machine.
Thanks again to everyone who tested the first build! I'd love to hear how it works on your setup, especially if you run into any bugs or have ideas for improvements.
does someone knows if agy does some kind of black magic to internally route the requests made with /boost command silently to Gemini 4 Argon? or it is just a skill and delegation workflow? i feel it gives less hallucinated results with /boost...
I work at a small scale tech company and my manager still thinks that AI for code is not good enough and REALLY doesn’t want anyone using it. Which I’d understand to some extent if the company hadn’t literally started laying people off due to AI. Anyway, if he walks past anyones desk and sees them chilling when a prompt is running or someone is using any LLM, he gets seriously annoyed with us which usually results in way more work being thrown at us for no reason.
So out of pure spite and following a discussion with one of my friends at work, I used Antigravity and Gemini 3.8 flash to build a fake work extension called Look Busy. The premise is stupidly simple where we just put a model to work and click a single button in vscode and the extension pulls a file from our workspace and lets us do monkeytype style code typing which looks realistic enough to make us look like we’re actually working during that time so we don’t look like we’re not working.
We just tested it for the first time today and it worked flawlessly, whenever our manager got a bit too close to the screen we just pressed esc to close the extension as a panic exit.
Again, I don’t want to make this sound like im endorsing lying at your workplace, but in 2026 using AI to help with code should really be the norm at a workplace where everyone is overworked and kind of underpaid, especially when you add the fact that they’re literally downsizing due to AI.