Most people are still coding the slow, manual way.
They open a text editor, write each line, fix every bug, and test endlessly before anything even works.
But in late 2025, Google released something that quietly changed everything.
It’s called Antigravity — and when you pair it with Claude Code, you’re no longer “coding.”
You’re commanding a digital workforce of AI agents that plan, write, test, and launch software for you.
This is not science fiction. It’s real, it’s fast, and it’s happening right now.
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What Is Antigravity?
Antigravity is Google’s new agent-driven development environment.
It’s a full IDE that uses Gemini 3 Pro agents to plan, code, and validate entire software projects automatically.
You describe your goal.
Antigravity figures out the structure.
Then it executes — step by step — while showing you progress visually.
Instead of you typing commands, it does the heavy lifting.
Antigravity can access your editor, terminal, browser, and even your testing environment.
It doesn’t just give you suggestions like older copilots.
It builds entire sections of your project from start to finish.
Think of it like having a full-stack AI team — designers, developers, and testers — inside your laptop.
It supports Windows, macOS, and Linux, and it integrates seamlessly with frameworks you already use.
The name Antigravity fits perfectly.
It lifts the weight of development off your shoulders.
What Is Claude Code?
While Antigravity is about planning and orchestration, Claude Code is about precision.
It’s Anthropic’s terminal-based coding environment built on Claude Opus 4.5, an incredibly smart model designed to produce clean, readable, and bug-free code.
You can describe complex tasks like:
“Write a responsive landing page with animated sections and a backend contact form using Node.js.”
And Claude Code will not only write it — it will structure it, document it, and even add comments explaining every line.
It’s like having your best senior developer on standby 24/7.
Claude Code doesn’t hallucinate random code or guess what you mean. It understands intent.
It knows how to debug its own output.
It handles refactoring, optimization, and dependency management automatically.
When you connect Claude Code to Antigravity, something magical happens:
One AI plans the project.
The other executes it with perfect accuracy.
This is what makes the combination so powerful — strategy meets precision.
The Real Magic: Why They Work Better Together
Each AI is strong on its own. But together? They fill in each other’s blind spots.
- Antigravity handles structure, architecture, and task management.
- Claude Code handles logic, algorithms, and implementation.
Here’s how they divide the work:
- Antigravity: creates task lists, file systems, and design previews.
- Claude Code: writes and optimizes the actual code base.
- Antigravity again: tests, validates, and reports errors visually.
You end up managing the entire build cycle like a movie director — watching your agents execute your vision.
No typing.
No tab-switching.
No debugging headaches.
This workflow transforms your role from “coder” to “creator.”
Step-by-Step: Building a Real Project With Antigravity + Claude Code
Let’s walk through a real example.
Say I want to build a landing page for my AI Profit Boardroom community.
I open Antigravity.
I tell it:
“Create a modern landing page that explains the benefits of joining the AI Profit Boardroom, includes testimonials, and converts visitors into members.”
Within seconds, the Gemini 3 agent generates a complete project outline:
- Create folder structure
- Design hero section
- Write benefit section
- Add testimonials
- Build CTA buttons
- Add footer and responsive styling
- Test for mobile, tablet, and desktop
Each task is listed with sub-steps and dependencies.
Then, I open Claude Code in my terminal.
I paste the plan.
Claude instantly builds the HTML, CSS, and JavaScript for every section — all clean, commented, and ready to test.
Next, I jump back to Antigravity.
Its design agent renders the layout in a browser preview.
It shows me screenshots of the hero section, testimonials, and CTAs.
If I don’t like the spacing or color, I just say,
“Make the background gradient softer and increase the button size.”
The AI updates it in seconds.
Once the design is ready, I trigger Antigravity’s built-in test agent.
It checks for broken links, layout issues, and load times.
Finally, it delivers a report with screenshots and performance stats.
That’s a complete project — planned, built, tested — all handled by AI.
What used to take days is now done in under an hour.
The Benefits Developers Are Seeing
The early adopters of this workflow report three major benefits:
- Speed – You can go from concept to live product 5–10× faster.
- Quality – Claude Code’s structured logic means cleaner, more stable builds.
- Efficiency – Antigravity’s multi-agent system lets you run parallel processes (design + testing + documentation).
You extend your token limits by dividing tasks intelligently.
You reduce bugs because each tool double-checks the other’s work.
And you gain mental clarity because the AI handles the grind.
Developers describe it like this:
“It’s like I’m managing a full-stack team that never sleeps.”
Common Challenges (and How To Fix Them)
Of course, even this dream setup has quirks.
Sometimes Gemini 3 inside Antigravity suggests one structure, while Claude Opus inside Claude Code builds it differently.
That can cause minor friction — different naming conventions or folder hierarchies.
The fix?
Be specific.
Tell Claude Code to follow Antigravity’s exact file structure and naming scheme.
Avoid vague prompts like “make this better.”
Instead, say “use the same layout as the Gemini plan” or “extend the previous file logic.”
Another tip:
Don’t waste tokens asking both tools to explain their work.
Ask for results first, explanations second.
When you stay concise and clear, both AIs perform flawlessly together.
Advanced Integrations and Workflow Boosters
Once you master the base combo, you can add tools to make it even stronger.
Antigravity supports integration with MCP servers — plugins that expand its capabilities.
- TestSprite MCP automates advanced testing workflows.
- Sonotype MCP secures dependencies and monitors vulnerabilities.
- PromptBridge MCP allows API-level prompt passing between Claude and Gemini.
These integrations turn your local dev setup into a full AI-powered engineering system.
You can literally orchestrate multi-agent workflows like a production studio.
Imagine giving one command — and watching three AI agents code, test, and deploy simultaneously.
That’s the next frontier of software development.
The Future of AI Development
We’re shifting from “AI that suggests” to “AI that builds.”
The difference is massive.
AI copilots were like interns — helpful, but dependent.
AI agents like Antigravity and Claude Code are like co-founders — autonomous and capable.
This evolution changes what it means to be a developer.
You’re not typing syntax anymore.
You’re orchestrating systems.
You’re managing outcomes, not inputs.
That’s the real leverage.
A single person can now do what entire teams did a few years ago.
Businesses that adopt this will outpace competitors.
Creators that learn it will multiply their productivity.
It’s not about replacing developers — it’s about amplifying them.
Inside the AI Success Lab
If you want to fast-track your learning curve, join Julian Goldie’s FREE AI Success Lab Community here:
https://aisuccesslabjuliangoldie.com/
Inside, you’ll get access to step-by-step frameworks, ready-made workflows, and automation templates designed for tools like Antigravity and Claude Code.
You’ll see real use cases — from AI-built SaaS tools to automated client dashboards.
It’s where entrepreneurs, coders, and creators share how they’re using these agents to automate education, product launches, and content creation.
Over 40,000 members are already building faster than ever — without hiring extra help.
If you want templates that remove all guesswork, that’s where to start.
Practical Tips for Developers
Here’s how to use the combo efficiently:
- Start small. Build a single feature, not a full app.
- Keep your goals clear. The clearer your request, the smarter your agents behave.
- Switch between Antigravity and Claude Code based on task type — don’t overload one model.
- Let Antigravity handle documentation. It creates readable summaries automatically.
- Validate before regenerating. If something works, don’t re-prompt — that burns tokens unnecessarily.
The more you work with these AIs, the better they align with your patterns.
They start recognizing your preferred structure, tone, and even naming conventions.
You’re literally training your own virtual team.
Business Impact
If you run an agency, startup, or SaaS company, this workflow is game-changing.
You can now build MVPs, client demos, or landing pages overnight — without waiting for dev teams.
That means faster iteration cycles, cheaper testing, and quicker revenue.
Early adopters are already using this setup to prototype new apps, generate marketing sites, and automate backend systems.
This is why companies using AI agent workflows are launching new products twice as fast — at half the cost.
What You Should Do Next
Don’t just watch the demo videos.
Try this for yourself.
Open Antigravity.
Plan a small project.
Let Claude Code handle the build.
Then refine, test, and ship.
You’ll never see coding the same way again.
These aren’t theory spaces.
They’re where real creators turn AI into revenue.
FAQs
What is Antigravity?
Antigravity is Google’s agent-first IDE powered by Gemini 3 Pro that plans, executes, and tests code automatically using multi-agent systems.
What is Claude Code?
Claude Code is Anthropic’s terminal-based AI developer built on Claude Opus 4.5 that writes, debugs, and documents code in real time.
Why combine them?
Antigravity handles the big-picture orchestration, while Claude Code executes flawlessly at the code level. Together, they create a complete end-to-end AI development system.
Can I use them without coding experience?
Yes. If you can describe what you want clearly, these agents can build it. They interpret goals, not syntax.
Where can I get templates to automate this workflow?
Inside the AI Profit Boardroom and the AI Success Lab, you’ll find the exact templates, workflows, and automations I use to connect these tools seamlessly.
