TL;DR
After a week with Google Antigravity, I realized how much its task planning, step-by-step execution, accurate file navigation, and walkthroughs reduce friction. Big ideas felt doable instead of overwhelming. It's fast, stable, and genuinely expands your creative flow though Gemini 3 Pro Eye hits usage limits and, like any new tool, some boundaries still exist. Even with those flaws, Antigravity shifted me from "building features" to "building possibilities."
For the past few months, I've been deep into white-coding workflows Cursor, VS Code extensions, custom prompts from my own PromptNova setup basically anything that could help me move faster without losing my mind. And honestly, until last week, I thought I had already tried everything in this "AI-powered coding" space.
Then I discovered Google Antigravity.
Google has been on a wild roll lately from Gemini 3, Veo 3, NotebookLM to a whole lineup of LLM integrations but Antigravity genuinely surprised me. Not in a "new shiny tool" way, but in a "wait… this actually fixes problems I deal with every single day" way.
I didn't plan some big experiment. I just opened it, tried a few things, and before I knew it… I had spent an entire week running both my personal full-stack project and a new PromptNova feature through it. And somewhere in that process, I realized something:
Antigravity wasn't just another AI IDE it was quietly reimagining how coding flow should feel.
Unlike Cursor, which is powerful but short-lived behind a trial paywall, Antigravity is currently free. And unlike Google's earlier Code Assist extension which often struggled to open the right files or maintain context this one felt fast, intentional, and surprisingly reliable.
But the real magic wasn't just speed.
It was the walkthrough, the task planner, and the step-by-step execution, three things I didn't realize I needed until I saw how effortlessly Antigravity handled long prompts without forgetting half the requirements.
- In just a few hours, it helped me build features that usually take a day.
- It navigated files with accuracy I haven't seen from most AI IDEs.
- It even ran commands, verified builds, and marked tasks as completed almost like a mini project manager sitting inside my editor.
This blog isn't a review. It's not a comparison.
It's simply my 7-day journey with Antigravity the things that impressed me, the quirks I noticed, and the little "oh wow" moments that made the experience feel truly… weightless.
✨ The Moment I Switched: Why Antigravity Stood Out
The switch happened almost by accident. I wasn't planning to "move" to a new IDE. I just opened Antigravity because I kept hearing people talk about Google's new agentic coding environment, and my curiosity got the better of me.
But the moment I started using it, I felt something different.
Most AI IDEs overload you with features the second you open them. Popups everywhere, models asking you what you want, assistants flashing suggestions at your face before you even type a line of code. Antigravity wasn't like that. It felt… calm. Clean. Almost minimal.
But the real difference hit me when I tried my first real task.
Normally, when I give a long prompt in Cursor or any prompt-based workflow, things start off strong and then slowly fall apart.
- They forget a requirement.
- They skip a feature.
- They misunderstand a file.
- Or worse they hallucinate some random folder that doesn't exist.
But Antigravity didn't blink.
I dropped in one of my long JSON prompts from My Personal Project the kind that usually breaks other tool and Antigravity responded like a project manager who had already read the entire PRD. It didn't rush. It didn't start coding instantly. Instead, it quietly created a task plan: a to-do list of every requirement I mentioned.
And then it started executing them one by one.
Not only did it not forget anything, it also marked completed tasks like a checklist. That alone solved one of the biggest headaches I've had in AI coding: losing track of what the model has done vs. what's left.
The second thing that hit me was the navigation accuracy.
In other AI IDEs, when you say "open the API route file" or "update the main component," they sometimes jump to the wrong file or create a new one entirely. In Antigravity, every open, every edit, every file reference landed exactly where I expected. No confusion, no extra files, no weird surprises.
It even ran commands automatically building, verifying, and testing updates without waiting for me to do the boring parts.
And when I compared its speed with Cursor, the difference was noticeable. Antigravity responded faster, executed tasks faster, and navigated faster. It genuinely felt like Google had finally cracked something about how agentic coding should feel.
That was the moment I knew:
I wasn't just testing a new IDE. I was about to spend the whole week with it.
The Two Features That Won Me Over: Task Planner & Walkthrough
If I had to pick the exact moment Antigravity won me over, it would be when I saw how it handled long prompts. Because honestly, that's where every other AI IDE I've used starts falling apart.
I don't give short prompts.
I give novel-sized prompts.
Especially when I use my PromptNova-generated JSON. It's long, detailed, structured, and meant to remove ambiguity. But every time I pasted it into Cursor, something got lost. A feature got skipped. A smaller requirement never got implemented. Or the final code had gaps that I had to manually fill.
Antigravity changed that.
The Task Planner: My New Coding Partner
When I dropped my long prompt into Antigravity, it didn't jump straight into writing code like most LLM-based IDEs do. Instead, it paused as if it was thinking and then quietly generated something I didn't expect:
A complete task plan.
A neat, simple list of everything that needed to be done.
Not just the major features.
Even the tiny little details I usually expect the model to forget.
It broke the whole job down like a senior engineer who:
- actually read my full prompt
- understood what each component required
- knew which files to touch
- and refused to miss a single step
And here's the best part:
It didn't treat the list as decoration. It treated it as a roadmap.
Every time Antigravity completed an item, it literally checked it off.
One by one.
Like a to-do list being executed by a machine that doesn't get tired.
This is the first time I've seen an AI IDE finish what I asked without "forgetting" halfway.
The Walkthrough: The Documentation I Didn't Know I Needed
This feature felt like a bonus superpower.
The Walkthrough isn't your typical README generator. It's more like watching the IDE live-narrate its entire thought process.
After making changes, it explains:
- what it did
- why it did it
- which files matter
- how to run everything
- and how the updated workflow fits together
It's like having a built-in mentor who narrates your project as it evolves.
And the best part?
If the update involves running something, Antigravity just… runs it. Automatically. Frontend, backend, commands doesn't matter. It executes, validates, and confirms everything on its own.
- No more switching windows.
- No more manually typing commands.
- No more "hope this works."
It actually verifies the work.
After a week of this, going back to any other IDE feels like going from autopilot back to manual gear shifting.
Speed, Accuracy & The Models That Powered My Week
One thing that shocked me within the first few hours of using Antigravity wasn't just the features it was the tempo at which everything moved. I'm used to AI tools speeding up parts of my workflow. But Antigravity sped up the entire workflow: prompts, navigation, execution, testing, iteration everything felt 20–30% faster than what I was used to.
Speed That Actually Translates Into Real Progress
Most AI tools feel fast when they give a response. Antigravity feels fast in a different way it makes progress feel fast.
- Every task it completed shaved off friction.
- Every command it auto-ran saved me context switching.
- Every file it opened correctly prevented confusion.
When I was working on my personal full-stack project, the speed difference was obvious. A feature that usually takes a few hours dropped to under an hour. Same with the PromptNova feature I was building with Next.js and LangGraph something that typically requires multiple passes was done almost instantly.
That kind of speed changes how you think.
It opens up your imagination.
Accuracy That Doesn't Break Flow
This is the part that made me stop and realize:
Oh… this tool is actually changing how I think about building apps.
Because when the IDE doesn't misinterpret files, doesn't hallucinate folders, and doesn't forget half your prompt your mind becomes free to think bigger.
When I used Cursor, I often held back. I would think:
"Okay, maybe let me split this feature into small tasks… the model might get confused."
With Antigravity, I didn't have that fear.
I could think boldly, plan fully, and trust the environment to handle the execution step-by-step.
For the first time, it felt like the tool wasn't limiting my imagination it was amplifying it.
The Models That Made It Work
Antigravity supports multiple models, but after experimenting, here's what worked best for me:
- Gemini 3 Pro (Eye) - super capable, very context-aware, but sometimes hits a usage restriction if you push too hard.
- Claude 4.5 - incredibly stable, great reasoning, perfect for long tasks.
But Gemini 3 Pro Eye and Claude 3.5 were the heavy lifters.
They understood the large prompts.
They executed long plans.
They navigated complex repos without missing a beat.
The Mindset Shift: From "Can I Build This?" to "Why Not?"
This is something I didn't expect.
After a week with Antigravity, my thinking changed.
When you see an IDE consistently break tasks down, complete them, and guide you through the entire workflow, you slowly start believing:
"Maybe I can build anything."
Web apps, system design structures, secure flows, new ideas things that would normally feel heavy suddenly felt possible.
Antigravity didn't just make coding easier.
It made my imagination bigger.
And in a world moving rapidly toward agentic AI, that mindset matters.
Because it's not about replacing developers it's about removing the friction between imagination and execution.
And this tool genuinely pushed me a little closer to that future.
The Real Projects I Built in a Week: And How Antigravity Changed My Workflow
I didn't sit down with Antigravity thinking, "Let's test this deeply."
I just had work to do two actual projects on my plate and I thought, why not try running them through this new tool?
That's when everything clicked.
Project 1: My Personal Full-Stack Build
This one was straightforward: React, backend logic, a few tricky integrations, and some UI fixes. Normally, this kind of update takes patience switching folders, writing boilerplate, checking files, testing endpoints, fixing small mistakes all the usual stuff that slows you down.
But Antigravity turned the whole workflow into a smooth pipeline.
- I gave it the prompt.
- It created a plan.
- It worked through it line by line.
- It opened exactly the right files.
- It generated clean code.
- And most importantly… it ran everything automatically with my commands.
Frontend builds? It did them.
Backend tests? It ran them.
Fixes? It applied them and re-ran the commands to validate.
By the time I finished reviewing the walkthrough summary, the feature was already done. A few hours' worth of work collapsed into a single focused session.
Project 2: PromptNova: The New Feature I Wanted to Add
This one was heavier.
Tech stack:
- Next.js
- LangGraph framework
- Structured prompting logic
- Some internal architecture complexity
Normally, I'd break this work into smaller tickets so the AI doesn't get confused. But here, Antigravity didn't force me to think small. I gave it the full prompt fully detailed, long JSON structure from my own tool and it took all of it in one go.
Once again, it built a task plan that matched my intention perfectly:
- Create/update files
- Implement the flows
- Integrate LangGraph
- Test everything
- Run commands
- Validate the output
No confusion.
No skipped requirements.
No hallucinated files.
Just clean, predictable execution.
And this is where the difference hit me:
Antigravity wasn't acting like a text generator. It was acting like a co-engineer.
The Workflow Change You Can Feel
After two projects, my workflow naturally shifted:
Before
- Spend time writing prompts
- Rewriting prompts when the model forgets something
- Manually navigating files
- Running commands myself
- Fixing missed tasks
- Debugging things the AI tool misimplemented
After Antigravity
- Spend time planning
- Give detailed instructions once
- Let task planner break everything down
- Watch the tasks get completed
- Review changes from one clean walkthrough
- Build confidently at a higher level
It wasn't just speed.
It wasn't just convenience.
It was mental freedom.
When you stop worrying about whether the model will forget your instructions, you start thinking about bigger things product decisions, architecture flow, UX, system design, security considerations, scalability, all the things that matter in the long run.
Antigravity didn't just accelerate my tasks.
It elevated the way I think while building.
The Surprising Stability: MCP Tools, Commands & Zero-Flaw Execution (So Far)
If there's one thing I've learned from using different AI IDEs, it's this:
power means nothing if the tool isn't stable.
Cursor is powerful, yes.
AI extensions are powerful.
Even Google's older Code Assist had the right idea.
But the moment an AI IDE starts randomly breaking commands, misunderstanding file paths, or freezing when the project gets bigger, the entire "AI coding workflow" collapses.
That's why Antigravity's stability honestly surprised me.
MCP Tools Actually… Worked
I've experimented with MCP in a few environments, and most of the time it feels experimental cool on paper, inconsistent in practice. But Antigravity handled MCP with a kind of quiet confidence.
Every tool I connected worked exactly like it should.
No random errors.
No broken connections.
No unpredictable behavior.
The integrations felt native like Antigravity understood the full ecosystem instead of treating MCP as a fancy optional plugin.
Commands That Just Run: Without Me Babysitting
This was a big one.
In most AI IDEs, even if the model writes the command, I still have to switch to the terminal and execute it. Or worse the model tries to run something, but in the wrong folder. Or with missing flags. Or it breaks and I have to fix everything manually.
Antigravity didn't make those mistakes.
If it needed to run a build, it did it.
If it needed to install packages, it handled it.
If it needed to run the server, it executed in the correct directory.
Every command felt intentional and properly scoped.
It was the small details that made the difference:
- No duplicated installs
- No wrong folder navigation
- No forgotten environment setups
- No broken run scripts
- No "oops," no "try again," no "my bad"
- Just clean execution.
🔹 Zero-Flaw Execution: At Least in My First Week
To be clear, this isn't a guarantee that Antigravity is perfect forever. No tech is. Every tool has limits, and I'm sure with more time and heavier workloads I'll eventually find its ceiling too.
But across everything I've done so far
React, Next.js, LangGraph, backend logic, MCP tools, long JSON prompts, file navigation, command chaining I genuinely haven't hit anything major that broke my flow.
- Not a single command misfire.
- Not a single corrupted file.
- Not a single weird hallucinated folder.
- Not a single "model forgot the task halfway" moment.
For a brand-new Google tool?
That's impressive.
Why This Matters
When the tool is stable, your creativity expands.
When the tool doesn't break, your plans get bigger.
When the tool doesn't forget, your prompts can go deeper.
That's the core of agentic AI:
the confidence to build without worrying about the tool breaking your intention.
And Antigravity's stability, at least in these first seven days, genuinely made me feel like I could trust it with real projects not just toy examples or demos.
The Limitations, Quirks & Things You Should Know Before Using It
As much as I'm impressed with Antigravity, I don't want to paint a picture that everything is perfect and flawless. No tool ever is and pretending otherwise just breaks trust. So here are the small quirks and limitations I noticed during my 7-day experience.
1. Gemini 3 Pro Eye Has Usage Limits
This one hit me a couple of times.
Gemini 3 Pro Eye is insanely good probably the best model inside Antigravity for understanding long prompts and keeping context. But when you push it too hard (like I did), you'll hit a temporary cooldown.
Not a dealbreaker, but it can slow your flow for a while.
Switching to Claude fixes this instantly, though. Claude 4.5 doesn't complain at all.
2. Still a New Tool: So Expect Hidden Boundaries
Even though I didn't face any major issues, we have to be realistic:
Brand-new tools always have hidden edges.
It might be a certain framework it doesn't yet understand.
Or a very custom environment.
Or a massive codebase where context size gets tight.
I haven't hit these problems yet, but logically, they will exist somewhere.
3. Still Requires Understanding: Not Blind Trust
This part is important.
Antigravity makes execution fast, but you still need to know what you're building:
- security basics
- architecture
- system design
- data flows
- dependencies
- environment variables
- safe prompting
AI doesn't replace the thinking it replaces the repetitive parts.
Antigravity is powerful because you already understand what you're building. You're giving it a strong blueprint. Without that blueprint, even the best agent struggles.
4. Features Might Evolve or Change
Since Antigravity is new, some features aren't "locked in."
Things like:
- model support
- task plan structure
- the way walkthroughs work
- command execution rules
…may evolve as Google polishes and expands the tool.
But honestly, that's part of the excitement the product is growing fast.
5. Not Everyone Will Have the Same Experience
This matters.
Coding styles differ.
Prompting styles differ.
Projects differ.
Frameworks differ.
Some people might instantly click with Antigravity like I did. Others might prefer Cursor's UI, or their existing VS Code setup, or just a more manual workflow.
And that's okay.
This isn't a "one tool replaces everything" situation.
It's more like:
Antigravity opens up a new way of coding and for some people, that shift will be huge.
But even with these limitations…
…I still walked away feeling like the pros heavily outweigh the cons. And for a brand-new IDE, the level of stability and intelligence I saw in the first week is honestly rare.
Most tools grow into reliability.
Antigravity somehow started with it.
How Antigravity Shifted My Mindset: From Building Features to Building Possibilities
Halfway through the week, something unexpected happened: Antigravity stopped feeling like a tool and started feeling like a catalyst. I wasn't thinking about tasks or tickets anymore I was thinking about possibilities.
Because when a tool gives you speed, accuracy, planning, and context without collapsing halfway, your imagination naturally expands. The usual weight complexity, time, manual work, fear the AI will forget your 12th requirement suddenly feels lighter.
For the first time in a long time, big ideas felt actually buildable.
That's the real difference Antigravity brought:
confidence.
Confidence that ideas can turn into products.
Confidence that prompts won't be misunderstood.
Confidence that execution won't break halfway.
This week showed me what the future already looks like: agentic AI workflows where the challenge isn't coding it's learning to guide the AI effectively.
And my biggest realization?
I'm not just shipping features anymore I'm building possibilities.
Once that switch flips, you never go back.
✨ Section 8: Final Thoughts: And Why This Week Meant More Than I Expected
When I started this 7-day experiment, I honestly thought it would just be another "try a new tool and move on" moment. I've done that many times—new IDEs, new plugins, new agents, new coding assistants. Most of them feel interesting for a day and then slowly disappear from my workflow.
But Antigravity didn't disappear.
It stayed.
Not because it was perfect (no tool is), but because it gave me something I didn't expect:
momentum.
Momentum to create.
Momentum to explore.
Momentum to think bigger.
Momentum to stop overcomplicating the small things and focus on the ideas that actually matter.
In seven days, I didn't just ship tasks faster I started believing that the big ideas I had in my mind were no longer "someday projects." They were now projects I could actually build.
And that feeling… that shift… is priceless.
This Week Wasn't Just About an IDE
It was about clarity.
It was about imagination.
It was about rediscovering the joy of building without getting stuck in the friction of execution.
Most developers won't say it out loud, but building things isn't hard the friction is the hard part.
- Setting things up
- Running commands
- Navigating messy files
- Debugging weird issues
- Repeating boilerplate
- Making the same fixes again and again
Antigravity removed enough of that friction that I got space to breathe.
Space to think.
Space to dream a little.
And that's why this week meant more than I expected.
Agentic AI Is Not the Future: It's the Present
After this experience, I genuinely feel like we've already stepped into the next chapter of development. Not a future where AI replaces developers, but a future where AI becomes part of the creative process not as a tool you fight, but as a partner that amplifies your ideas.
And if this is where tools are today… imagine where they will be in a year.
What This Means for Me Going Forward
I'm going to keep using Antigravity not because it's Google or because it's trendy, but because it genuinely fits the way I think and the way I build.
I want to explore more.
I want to push its limits.
I want to see how far this agentic workflow can go.
Because now, I'm not just building apps.
I'm building possibilities.
And that's a journey worth continuing.
🔗 Connect with Me
📖 Blog by Naresh B. A.
👨💻 Aspiring Full Stack Developer | Passionate about Machine Learning and AI Innovation
🌐 Portfolio: [Naresh B A]
📫 Let's connect on [LinkedIn] | GitHub: [Naresh B A]
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