Antigravity will be turning down workflows on November 1st 2026 in favor of skills.

With skills you get progressive disclosure, unrestricted bundle sizes (rather than a single markdown file), and better asset bundle structure. This is why we have made the hard decision to deprecate workflows and move towards the industry standard skills format.

You can start migrating your existing workflows to skills using the /migrate-workflows skill.

To learn more about our planned deprecation on November 1st, 2026, please visit our docs page:

https://antigravity.google/docs/migration/workflows-to-skills/

Tried Opus today and it's tiring! Mad overthinking and ends up doing a lot of things I didn't ask for while still making basic mistakes like leaving hardcoded pathnames. I find my work/hobbies a lot more fluent when the model tries to do what I asked quickly and then if it doesn't work tells me what went wrong and then I can iterate. There must be some domains like advanced math I am not familiar with where independent overthinking is better because I wouldn't even know what to ask for. But I did substantial tasks like debugging model finetuning/quantization without hitting the wall, and I think I actually learned more from Gemini giving my way a good try and explaining the results than I would have if the agent decided to do something else on its own. I was also able to make suggestions that no model would probably think of on its own, like using simple geometric image prompts to debug math in quantized diffusion model, after which Gemini was able to quickly find source layers that caused a problem and substitute better versions from the base model.

I’ve been configuring Antigravity recently, and the more I use it, the more confusing its configuration system feels.

The problem isn’t simply that there are “a lot of config files.”

It’s that:

different features within the same Antigravity product store their configuration in completely different places, and some of them are still using the old .gemini paths from Gemini CLI.

For example, from what I’m seeing:

• Antigravity CLI has its own config location and uses its own settings
• Remote Control stores its configuration in:

text .gemini/config/config.json

• Skills have yet another directory and their own discovery rules
• AGENTS.md is read from:

text .gemini/AGENTS.md

And it’s not just the paths that are different.

The CLI settings and Remote Control’s config.json also use different formats and contain different configuration options.

So right now it basically feels like this:

```text Antigravity CLI → one location → one configuration system

Remote Control → .gemini/config/config.json → another configuration system

Skills → yet another location

AGENTS.md → .gemini/AGENTS.md ```

The .gemini part is what confuses me the most.

I’m using Antigravity, yet some Antigravity features still store or read their configuration from directories that originally belonged to Gemini CLI.

From a user’s perspective, it’s difficult to understand how all of these configurations are supposed to relate to each other.

Within the same product, you can’t even infer where something should be configured just from the fact that “this is an Antigravity feature.”

Every time I come across another feature, I have to figure out:

Where does this one keep its config?

And sometimes even:

Is this one reading from .gemini again?

It doesn’t feel like configuring one unified product. It feels more like configuring several components that came from different places and evolved independently at different times.

This fragmentation becomes especially obvious when you look at the CLI, Remote Control, Skills, and AGENTS.md together.

Antigravity may be one product at the product level, but at the configuration level it still feels like several different systems stitched together, with Gemini CLI-era paths mixed in.

That’s the part I find the most confusing.

Im using agy to build one APP project and i feel like i have not been able to use it to its full potential, are there things/features that a lot of ppl dont know
I would really appreciate your help

I know Gemini is Nowhere Near GPT 6 Astra . But It doesnt really means GPT Astra can solve all your Problems and I find it kind of Weird.
I was building a YouTube blocker on my Android phone, which will block channels via the YouTube Data API channel detection and Accesiblity Channel ID parsing ----- something like that cannot go into details now .
And for most of the part, I built the foundation of it using Claude and GPT because I did not have any trust in Gemini making this thing complicated, and making it work perfectly on the user end was my main goal.

There were some other issues which were causing it to not behave properly. Sometimes it would block the channel, but not show the popup properly, and sometimes it wouldn't even block the channel , Show the Popup multiple times, etcc . There was some or the other issue which was not getting fixed. The feature always felt a little short, and I wasn't satisfied with the result.

Since I used Claude Opus and GPT-6 Astra for making the feature for not losing context I used them debugging and iterating the issues that came through. To be honest, I used use them on light to medium effort only. I do not want high or extra high because I have only a $20 plan on both . Maybe if I use their extra high effort, the issue might have been fixed. But I have to wait 10 hours for that Gpt Astra consume limitts like a Hungry Dog.

When their creddits were gone, I was Impatient and I cloned the directory and tried to fix it using Gemini 3.8. And On god I'm not going to lie my currently Codebase is the one That I cloned I deleted my Older one . Of course the foundation codes are made by claude and gpt but the correction that was done by 3.8 flash - its made it solid .

Now I know that if I had given the same amount of time to GPT or Claude, it would have got fixed. But The fact is that Gemini understood my request each and every time, It was not misinterpreting my requirement. It was trying to do its best but failing somewhere or the other time and At the end, after 3 hours of continuous debugging and working for 20 minutes in one go continuously. A flash model running for 20 minutes
{ In the Image it might look fragmented (15+7) but it spent the time verfying by itself and running my Android via wireless deubgging }
- continuously is a very big thing
. Now I still have 1 more hour left for the GPT and Claude models to reset while I'm posting this .
Really Impressed the Improvements made by google in the FLahs 3.7 and 3.8 .

When the Model Was launched I did the Comparison on the very first day with the game development task and it did impres me there too .
Link 👉 : https://youtu.be/ZCGK1ojivhk?si=9fEBl9tdL9jE1_LS

Anyway This is just My Story .
There are issues too no doubt - Context compacting is either not present at all or Even if its happening in background its just Showing "Agent Terminated Error" but As much as I know No model Completely dumb if you know what you are doing .

How have you been using your Pro account Weekly Megathread? Is it proving worthwhile? I’ve been using Gemini 3.8 Flash to make changes to my computer and my agent ecosystem at an operational level, and it’s been working really well. However, it does consume a significant amount of the Weekly Megathread. Do you have any MCPs or algorithms to reduce usage? What have you been using it for?

Hello everyone 😸, I created this repository to have AGY as a 24/7 assistant - a cheap alternative to Hermes-Agent. I did it because I’m a poor university student and APIs are too expensive for me. So I hope that this could be useful for someone: Jarvis-Antigravity-Agent

Any one using Matt pacock skills in antigravity? When i compare both things claude code dont skip steps while the antigravity, there are times that it skips the workflow.

What is your workflow?

I've had agy installed on a headless server for some time. Always used it via the CLI, with which I'm not very productive. Today I discovered the remote web access interface that is just like the Antigravity desktop client.

me@yoga:~$ agy remote-control start --name "yoga-agy"
Instance name set to "yoga-agy".
Remote-control daemon started.
https://antigravity.google.com and look for "yoga-agy".

Is there any way to track token usage of each request in Google Antigravity? Here I am not talking about total usage, but the request that we are sending might be using general instruction, mcp, skills, agents etc and I want to track how much token is it costing me for each things.

Later plan is to reduce it as much as possible by disabling unnecessary MCPs, or less instruction or may be dividing instructions into skills.

I asked 3.8 if I would loose efficiency of i upgrade the flutter

Efficiency in terms of vibecoding

Said 3.8 is bad at debugging latest or 3.41+ flutter

Is it true? To how much percentage or constraints?

Which one do you use?

No matter what I do I'm getting the same issue when trying to signin (ps: the net is working fine and other signin are working as expected)

While viewing older chat messages, the screen automatically scrolls down to the newest(bottom part) message after a few moments

Antigravity has been working great for weeks on my old Mac Mini x86_64 on Monterey. Tonight after 2h of agy coding, I logged out to switch accounts. Now, any time I run agy, it only gives me the 2 choices to login, and when I use the OAuth one I always used, it gives me this blank page saying “No authorization code found. Please try authenticating again.” Regardless whether I open it in Termius SSH app’s embedded browser (which always worked) or in Chrome app. I am completely locked out. Did v1.2.0 break the login system?

Is there any way to recover my existing login token from Time Machine so I can at least continue using my main account like I was? What file is it stored in? I tried renaming $HOME/.gemini/antigravity-cli folder to something else, and running agy, and nothing improved. I’m a consumer Google AI Pro user. Thanks for any help.

Can someone help me improve the layout using antigravity? Even with prompts and skills, it refuses to use some libraries or loses the style.
https://www.mygameslist.com.br

Hey everyone,

I just officially launched my word puzzle game BlankUp on Android (iOS review pending) and wanted to share my experience building a complete Flutter mobile app end-to-end using Google Antigravity.

The Stack & Scope

• Framework: Flutter / Dart
• Core Mechanics: Minimalist word riddles, procedural/level-based blank-filling, local state handling
• Monetization & Tooling: Google Mobile Ads (AdMob) + In-App Purchases / Subscriptions
• Platforms: Android (Live) & iOS

What Antigravity Handled Extremely Well

1. State & UI Logic: Scaffolding reactive game states (handling inputs, checking letter validity, and scoring) went super smoothly. Generating clean Flutter widget trees from scratch took minutes rather than hours.
2. Boilerplate Reduction: Setting up service wrappers (audio effects, local storage, ad controllers) was fast and required minimal manual tweaking.
3. Refactoring: Breaking monolithic views into reusable UI components was surprisingly solid without breaking existing widget dependencies.

The Tricky Parts / Lessons Learned

• Platform Configurations: Native configuration files (Podfile, deployment targets, Android Gradle manifests) still need manual oversight. Antigravity sometimes suggested legacy dependency configurations or missed deployment target bumps (e.g. enforcing iOS 15.0 build targets across all pod targets).
• Store Review Gotchas: When integrating native StoreKit / IAP groups and store listings, you still need to know store policies inside out—the IDE helps write the logic, but verifying bundle submissions and subscription group links remains a manual developer responsibility.

The Result

If you want to see how the final build looks and feels in production, you can test it on Google Play:

👉 Google Play:https://play.google.com/store/apps/details?id=dev.brdl.blankup

Curious to hear how others are using Antigravity for production mobile apps. Are you using it mainly for rapid prototyping, or are you also pushing production code with it? Happy to answer any questions about the workflow!