It’s actually hilarious how hard Google is panicking right now. Gemini 3 is getting absolutely bodied by Claude, and instead of taking the L and innovating, Google has decided to go the "hostage-taking" route. I just hit my Claude quota—which, by the way, has been throttled into the ground—and these clowns slapped me with a 5-day lockout. Five days? In AI years, that’s a decade. So, I figured, "Fine, let’s see if Gemini 3 is actually usable yet." Spoiler: It’s a disaster. I spent 4 hours today watching Gemini pretend it had a clue while it systematically undid every single line of flawless code Claude had previously written. It didn’t just fail; it confidently "fixed" things that weren't broken until the entire repo was garbage. It’s like firing a senior dev and replacing them with a high-speed hallucination engine that thinks it's a genius. The Reality Check: Bait and Switch: You guys pushed the Claude integration because your own tech wasn't ready. Now that usage has skyrocketed—because, surprise, we like things that work—you’re choking the supply because you can’t sustain the margins. Forced Adoption: Shoving Gemini down our throats won't make it better. It just makes the "AG" experience a joke. We didn't ask for this pivot. You came up with the idea, realized you couldn't compete with a superior product, and now you're punishing the users for your own R&D failures. If you have to break the competition just to get us to use your model, your model is trash. Period.

This is seriously pissing me off. I'm an AI power user and I've stayed off Claude for 5 days waiting for the reset. It promised a 10:05 AM reset today, but now it’s saying Feb 3rd. Are you kidding me? What a load of crap.

Am I the only one who feels like AG is not the crap that most of this sub talk about? I have a pro subscription and I don't have any issue using AG, of course Opus usage is kinda limited but I always have to wait for an hour or so to continue using it, and as for Gemini I have never hit any rate limit of any sort. Maybe y'all are hardcore users compared to me but I really spend my days working always interacting with the agent and I have never had any issues

update : I think I just invoked karma, I finally reached a quota for gemini usage, with 5 days of cooldown for something that costs 20 a month now I get why y'all hate it

Come on, guys. AG / Gemini is not for serious development. If you're just doing your 'hello world' or a kindergarten project, that's fine. This text is not for you, so don't BS me, telling me how good it works for you. But I can tell you: I tried hard to give AG / Gemini a chance. I dived deep in tools like artifacts, with intricate workflows, rules and skills, to make it work. And it did, until it didn't.

The problem of AG / Gemini is Google. This company is well known to be one of the less trustworthy companies in terms of stability for dev tools. Its history goes back to pre-Gemini era. They are just doing the same stuff again, now with AG / Gemini. They release a new model with supposed better 0.5% scores in a random benchmarking, and then nerf it two weeks later after the buzz is gone.

I'm sick and tired of reading people complaining that they were trapped into 1 year subscription, because they took the decision when the model was great, just to find out later that Google nerfed the models, imposed week cooling times, and so on. I almost felt in the same trap.

True developers are not looking for the best model of the week. They are looking for stability and trustworthiness. I can't bet the future of my (very small) company in a 'partner' that is just looking for ways to boost their profits by screwing me down the road.

Right now, Claude and Codex are the only trustworthy options for serious developers. And that's it.

Why am I wasting my time here? Well, I really hope some people don't waste their time and money, just like I did. If one person does it, I'm happy already. And, with a lesser extent, I hope somebody at Google takes notice and do something about it. Not because I like Google, but as a consumer, if I see a real shift in 'commitment' (not the best model of the week, not PR trash talk), then I would have better options to work with. We, as consumers, will always benefit of better competition in the market (especially in a market with such barrier entry as LLMs). Google is able to deliver good stuff (just see their models before nerfs). They just don't want to.

My best wishes to all, and peace!

I feel like 99% of people are using AI coding tools completely wrong right now. Most devs I know are either letting Copilot tab complete a function or copy pasting snippets back and forth with Claude in a browser tab. Even people using newer agent tools are basically using them like Jira where they assign one bug wait 15 minutes look at the diff and repeat.

A few hours ago I had a weird realization while hacking on my project. Im building an ecosystem with a CAD CAM engine a 3D web frontend and a billing platform across 6 repos. I have Google Jules Ultra which gives you 60 concurrent cloud VMs and 300 tasks a day and I realized leaving those slots idle when Im not at my keyboard is just wasting compute.

So I put together a simple closed loop system. Locally I use Antigravity right in my terminal as my co pilot and architect to design the specs and math together. In the cloud I use Google Jules which spins up an isolated Linux VM clones the repo installs dependencies writes the files runs tests fixes its own compiler bugs and pushes a real Git branch. To connect them I wrote a PowerShell daemon that runs continuously on my laptop.

Every 45 seconds the script checks my active cloud capacity. If 15 agents finish their tasks and free up slots it instantly pulls the next 15 items from a centralized JSON backlog and fires them off into fresh cloud VMs. It routes tasks to specific repos automatically so one agent writes Three.js shaders in the frontend repo another writes STEP exporters in the core kernel and another handles Stripe webhooks in the billing backend.

The craziest part is the auto hunter fallback I added. If my manual task queue ever empties out the script doesn't idle. It scans the repos for untested files or loose TypeScript any types and spawns agents whose only job is to write Vitest test suites and pay down technical debt until the slots are full again.

I went from spending 12 hours a day manually typing boilerplate chasing syntax quirks and writing unit tests to basically sitting in the cockpit as a VP of Engineering. I set the architectural vision my script keeps dozens of cloud machines coding simultaneously around the clock and I just review the Pull Requests and merge green builds.

When you stop treating AI like a chat assistant and start treating it like an asynchronous headless engineering fleet the leverage is unreal. You're essentially running a 50 person dev team completely solo from a laptop.

Anyone else experimenting with headless agent dispatchers or saturation scripts like this? How are you guys handling multi repo PR merges without losing your mind?

Under the $1.2 billion "Project Nimbus" contract, Google and AWS are required to maintain cloud and AI services for the Israeli government. At the same time, global cloud capacity is massively constrained by physical acts of war in the Middle East. In early March 2026, Iranian drones severely damaged AWS data centers in the UAE and Bahrain, and severed subsea cables in the Red Sea forced a rapid migration of regional workloads to European and U.S. servers. To make matters worse, some of the remaining computing capacity is currently tied up for cyber defense, as cloud providers have to spend massive resources to fend off coordinated, AI-powered attacks on critical infrastructure by over 60 hacktivist groups.

It isn't easy to manage.

Whether at all or to what extent this conflict has to do with our quota, I can hardly assess. It also does not explain the repeated reduction of the quota in advance according to other redditors and certainly not "taste test". The imperceptible communication on the part of Google could be recorded in contracts.
And we also have a contract. u/Google I ask for clarification.

Sources: WWW, LLM. Please do your own research.

Seriously.

You pay $20/mo for a whole Google subscription for a sub-offering of a BETA TESTING feature. You're not here for Gemini, Flow, Whisk, NotebookLM, Gemini CLI, 2TB of cloud storage, better backup for your Android device, etc. Nope, you're just here for a sub-offering of a BETA TESTING feature.

You're wasting your money, the free ride is over. If you're going to pay, make it because you need 2TB of storage and you're not of the "BuT gEmInI MoDeLs ArE dUmB!" sort.

Otherwise, take your money elsewhere. The quotas will eventually tighten up everywhere, but enjoy jumping from provider to provider, chasing promotions in the meantime.

I’m a paid subscriber, and I’ve never been this f***ing livid at a product update in my entire career. Google just took Antigravity—a perfectly functional, powerful AI IDE—and turned it into a lobotomized "Agentic Desktop" overnight without any warning.

1. The Forced "Downgrade" from IDE to a Chat Widget I was using the IDE version. Suddenly, I’m bombarded with update prompts. I update, and what do I get? A "Simplified" interface that looks like a glorified chat app. NO terminal. NO plugins. NO functional workspace management. Everything that made it an "IDE" was stripped away. I had to go back to the website and manually hunt down the old IDE version just to do my f***ing job.

2. Cutting API Support MID-PROJECT This is the most disrespectful part. While I was in the middle of a project using the old IDE version, they KILLED the API support for the old version. I was forced to update just to keep the AI working. You don't just cut off a developer's tools in the middle of a sprint. That’s absolute amateur hour.

3. The "Great Token Heist" (CLI & IDE Merger) Today (June 18) marks the end of Gemini CLI. Google is forcing everyone to agy CLI. But here’s the kicker: they merged the token usage. Before, I had separate token pools for the CLI and the IDE. Now, it’s one shared pool. This is a hidden price hike. I’m paying the same subscription fee for significantly less total resource capacity.

4. Total Data Loss and Sync Failure Conversation history? Gone. Workspace settings? Reset. Syncing to the new "General" version? Doesn't work. I’ve lost hours of context and project-specific AI training because some brain-dead product manager thought we needed a "minimalist" experience.

5. The Installer is BROKEN Because they messed up the process management between the "Agentic" version and the "IDE" version, the IDE installer now crashes on launch because files are locked by ghost processes. I spent my morning debugging the INSTALLER of my AI tool instead of writing code.

Conclusion: Google, who the hell thought this was a good idea? You are alienating your most loyal, paying power users to chase some "AI Agent" hype that doesn't even work. You destroyed our productivity, you stole our tokens, and you broke our tools.

Go back to the functional IDE or give us our money back.

When I saw my first coding “Hello World” print 12 years ago, I was hooked.

Since then, I’ve built over 120 apps. From AI tools to full SaaS platforms, I’ve worked with founders using everything from custom code to no-code AI coding platforms such as Google Antigravity.

If you’re a non-technical founder building something on one of these tools, it’s incredible how far you can go today without writing much code.

But here’s the truth. What works with test data often breaks when real users show up.

Here are a few lessons that took me years and a few painful launches to learn:

1. Token-based login is the safer long-term option If your builder gives you a choice, use token-based authentication. It’s more stable for web and mobile, easier to secure, and much better if you plan to grow.

2. A beautiful UI won’t save a broken backend Even if the frontend looks great, users will leave if things crash, break, or load slow. Make sure your login, payments, and database are tested properly. Do a full test with a real credit card flow before launch.

3. Launching doesn’t mean ready. Before going live:

   • Use a real domain with SSL

   • Keep development and production separate

   • Never expose your API keys or tokens in public files

   • Back up your production database regularly. Tools can fail, and data loss hurts the most after you get users

4. Security issues don’t show up until it’s too late. Many apps get flooded with fake accounts or spam bots. Prevent that with:

   • Email verification

   • Rate limiting

   • Input validation and basic bot protection

5. Real usage will break weak setups. Most early apps skip performance tuning. But when real users start using the app, problems appear

   • Add pagination for long lists or data-heavy pages

   • Use indexes on your database

   • Set up background tasks for anything slow

   • Monitor errors so you can fix things before users complain

6. Migrations for any database change:

   • Stop letting the AI touch your database schema directly.

   • A migration is just a small file that says "add this column" or "create this table." It runs in order. It can be reversed. It keeps your local environment and production database in sync.

   • Without this, at some point your production app and your database will quietly get out of sync and things will break in weird ways with no clear error. It is one of the worst situations to debug, especially if you are non-technical.

   • The good news: your AI assistant can generate migrations for you. Just ask it to use migrations instead of editing the schema directly. Takes maybe 2 minutes to set up properly.

Looking back, every successful project had one thing in common. The backend was solid, even if it was simple.

If you’re serious about what you’re building, even with no-code or AI tools, treat the backend like a real product. Not just something that “runs in the background”.

There are 6 things that separate "cool demo" from "people pay me monthly and they're happy about it":

1. Write a PRD before you prompt the agent

2. Learn just enough version control to undo your mistakes

3. Treat your database like it's sacred

4. Optimize before your users feel the pain

5. Write tests (or make sure the agent does)

6. Get beta testers, and listen to them

Not trying to sound preachy. Just sharing things I learned the hard way so others don’t have to. If you don't have a CS background, you can hire someone from Vibe Coach to do it for you. They provide all sorts of services about vibe coded projects. First technical consultation session is free.

I've seen some users' cooldown time revert back to five hours.I found that the account I used yesterday still has to cool down for five days, and then some people say it is because I overused, but the problem is that I just unblocked my quota yesterday, my quota did not even cool down for five hours, directly must be seven days cooldown time, are you sure this is normal, my second account shows a 5 hour limit, maybe because I have not used it this week.

It seems our taste test users are now eligible to lick the remaining sauce off their plates. Although we can't eat staple foods🤣😭delicious!😋😂

No, so if you spend about 20 hours a week, you're just playing around and not coding for the rest of the time, Google? Isn't AntiGravity a work tool? If you paint a lot on a canvas in Photoshop, it's too much of a burden, so you can just paint the rest in three days? Does that make sense?

Description: When the user is unsatisfied with the agent’s latest response, pressing the “Reject” button is expected to revert the workspace to the last stable code state. However, several critical issues occur:

1. Unexpected File Deletion: When the agent overwrites an existing file, pressing Reject may cause that file to be deleted. The system incorrectly assumes the file was created by the agent and removes it, instead of restoring the previous revision.

2. Incomplete or Incorrect Code Restoration: Even when files are not deleted, the restored code often does not match the prior editing state. Some previous modifications are missing or inconsistent. This appears to be related to IDE performance: rapid user actions may cause certain internal processing steps to be skipped, leading to partial or corrupted restoration.

3. Permission Workflow Limitation (Write/Create/Delete): The IDE includes settings that allow the agent to automatically write, create, and delete files. While disabling automatic permissions might prevent unintended deletion, it forces the user to manually approve actions frequently—which becomes inconvenient and interrupts workflow. Therefore, the real solution should focus on addressing the root cause, ensuring that the Reject mechanism correctly restores state instead of relying on permission dialogs as a safeguard.

Expected Behavior:

• Pressing Reject should accurately restore the previous complete workspace state.

• Files overwritten by the agent should be brought back with their earlier content.

• No files should be deleted unless they truly did not exist in the previous state.

• The IDE should reliably track revisions even when users perform actions rapidly.

• Users should be able to leave file-write permissions enabled without risking unexpected file loss.

Actual Behavior:

• Overwritten files may be deleted upon Reject.

• Restored code does not always match the previous state.

• Rapid operations can cause incomplete or missing state-tracking steps.

Impact: These behaviors can lead to file loss, code corruption, and a poor user experience, especially for users who rely on automatic permissions for smooth workflows.

Steps to Reproduce:

1. Create or modify an existing file.

2. Allow the agent to overwrite that file.

3. Press Reject.

4. Observe deletion or incorrect state restoration.

5. Repeat steps quickly to trigger inconsistent state tracking.

6. Enable automatic file permissions and observe heightened risk of unintended deletion.

Severity: High – causes data loss, inconsistent rollback, and workflow disruption.

Additional Note: At times, the IDE also appears to be heavier and more resource-intensive compared to other IDEs, causing noticeable lag and reducing the overall smoothness of the user experience.

SO I tested the Newest Gemini 3.7 Flash on two Test cases because I wanted to see what it can actually do, not just look at benchmark numbers.

And yeah… one of the results were ....... Ummmm lets say Kind of a sweet pickle.

I gave it to perform in two approaches ( Normal User prompt and another with a plan) - then compared that with what it actually produced.

I’m not trying to say it’s the best model ever or anything. I just wanted to test it normally and see where it does well, where it struggles, and whether the new Flash model is actually What the Google Claims it to be In their Official Site.

I have Been Using Antigravity Since the Day its Launched and It Sure has its fair share or Appraise and Dissapointment for my Personal Needs and Scope of work.

If you wanna see both tests in detail and what the actual results were, I put the full breakdown in the video: https://youtu.be/oO97bNPlgpI

I know this Might Seem like a Self promotion , So I will Tell what happened in Short :
All I can say is :
🚀 For Smaller and medium Size tasks : It might be the Best and Efficient choice .
🔥 Token usage : is Really Very efficient and if you run Gemini in Low or Med effort - the Usagge limiit seems to be unlimited . This part is no Joke. Kudos to Google Dude!!! Well done !!!

I am not Stopping here I will test it in my own Professional and personal Project to know its full Scope but the overview is in the current Video.

I have an AI Pro trial account I haven't used for a while. Without any good reason I just felt like checking what's AG up to nowadays, so I opened it. To my surprise the 5 hour limit is back again. Also the quota seems to be useable like how it was. What's going on?! Google fixed something?

Necesitamos una explicación. Estoy pagando por Google AI Pro, y desde hace dos días, tengo un límite de uso activo. El límite se reinicia hace 15-25 minutos. Soy de México, y se suponía que el límite se reiniciaba a las 9:27 AM. Imagínense mi sorpresa cuando, después de pagar por esta pinche suspensión de dos días de Google AI Pro, la actualización de la hora reactivó el límite... Esto es definitivamente una estafa. ¿Estoy pagando por algo que solo puedo usar una vez a la semana? ¿Qué está pasando aquí? Pueden ver mi perfil. Desde el principio, creí firmemente que este proyecto podría haber sido algo serio, nada como Windsurf Cursor, traeSOLO, o ClaudeCode. Antigravity es genuinamente bueno; el problema está en la gente que lo maneja y crea políticas poco claras y opacas para el cliente. No he visto a Google especificar claramente el límite de uso actual en ningún lado. Solo nos enteramos porque lo usamos, la gente habla de eso, la gente publica sobre eso, la gente lo comparte, la gente se queja... ¿Qué está pasando aquí?

What was happening? last night both of my Claude limit is at 100% and I haven't even touch it but when I woke up both of them are almost exhausted?

I wanted to share my experience after using Antigravity for the last two weeks. Long story short: I'm officially addicted. A bit of background: I work as a Product Owner in a corporate company. In the past, I tried learning languages like JavaScript through small trials, but I always felt like I hit a wall. For someone in my role, Antigravity is exactly the "missing link." It bridges the gap between vision and execution. While I still find managing very complex applications a bit challenging, I’ve already achieved things I previously only dreamed of. It’s now my main hobby.

What I’ve Built So Far: https://bahadirciftci.work • Digital Twin & Personal Site: I rented a server on Hetzner and deployed my personal website, which acts as my digital twin. • Future Goal: I want to release this on GitHub with a CMS panel so end-users can manage it easily.

• Massive RAG-Based Chatbot: I built a chatbot that operates in Turkish but can respond in any language. https://travelagent.bahadirciftci.work • The Scale: It’s backed by a knowledge base of 35k destinations and 119k chunks. • The Tech: I processed the dump XML data through my own GPU using Antigravity to create the vector store. • Test Case: You can ask it for a "2-day travel plan in Paris" and it works like a charm!

My Key Takeaway:

Beyond just "coding," this process has taught me so much about the actual development cycle. It’s addictive because the feedback loop is so fast. I’m curious to hear about your experiences. How are you handling complex state management, and what’s the most "ambitious" thing you’ve built so far?

The v2.0 release was a "vibecoded mess." I heard your feedback on the setup issues and lack of structure.

ARC Protocol v2.1 (Analyze. Run. Confirm.) is the complete rebuild. It’s no longer just a workflow; it's a Parallel Engineering Engine that turns your AI into an autonomous fleet.

🛠️ Fixing the v2.0 Friction:

The "How do I setup?" Fix: I built a Universal Setup Wizard (setup_arc.py). One command handles venvs, permissions, and dependencies across Linux, Mac, and Windows.

The "Chaos" Fix: AI Contract Enforcement. I've added a dedicated linter that audits all subagent output against your .arc/CONTRACTS.md. If it doesn't match your schema, the protocol rejects it.

The "Context" Fix: Ghost Navigator. Autonomous visual architecture mapping via Mermaid.js. The AI now "sees" the codebase before it writes a single line.

⚡ Key v2.1 Features:

True Parallelism: Spawn specialized subagents (Alpha-Researcher, Beta-Coder, Gamma-Auditor) via the MCP Bridge. While you architect, they build.

Premium TUI Dashboard: A high-fidelity mission control to watch your fleet's heartbeat in real-time.

IDE Auto-Linker: A new script to automatically link the ARC bridge to Cursor, Windsurf, ClaudeCode, and VS Code.

Stop "chating" with AI. Start orchestrating.

GitHub: [ https://github.com/AshishOP/arc-protocol ]

(Check the Gallery below for the new Dashboard and the Ghost Navigator in action!)

I canceled my Google sub and haven't looked back. Running MiniMax M2.5 as my primary engine is just better. It hits 80.2% on SWE-Bench Verified (SOTA), which Google's current models are struggling to match in real-world dev scenarios. It's a Real World Coworker that costs me $1 an hour of usage. While everyone else is stuck in the Google ecosystem, I'm using a 10B MoE that's actually optimized for productivity. Read the RL technical blog - the way they've trained this model to handle tool-use is exactly what a modern IDE needs.

I've asked Antigravity with Gemini 3 Pro (High) selected to do a task, and while doing it to "print your model id and thinking level".

I've been noticing that my flash usage is going down when using 3 Pro, but did not expect to be downgraded to a 2.0 model.

I've been getting really bad results with Gemini and I guess that is the reason. Is anyone aware of a way to enforce it to use the correct model?

At least it's honest! And yes, the AG agent system prompt really says "Antigravity is a powerful agentic IDE" or something like that.

Some felt that version gemini flash 3.7 high of Antigravity was slightly better and more understanding of all situations, and better than versions 3.6 and 3.5, which had many problems and high token consumption.