In partnership with
At a Glance
Big Idea: Gemini 3 isn’t just “another frontier model.” It’s a real step change in what one prompt can ship.
Why It Matters: We’re now in a world where “MVP in a weekend” is being replaced by “MVP in a prompt.”
The Big Idea: The Era of One-Prompt Software Has Started
The internet went wild over Gemini 3 this week, benchmarks, demos, hype everywhere.
But the real moment everything shifted for me wasn’t the charts or one-shot demos. It was watching a single prompt generate a CapCut-style video editor.
Built in one prompt, debugged through multiple files, fixed by the model, and running in the browser.
For the first time, it felt like we weren’t “using AI to help us code.”
We were watching AI build software.
And Google didn’t stop at the model.
They quietly dropped something far bigger alongside it.
Gemini 3 didn’t just improve coding.
It unlocked a new mode of development:
Describe what you want → let the model build the first 60–80% → guide the final 20%.
This is possible because Gemini 3 is the first model that’s good at all three layers:
1. Understanding UI
Screenshots → fully functional interfaces.
2. Handling software complexity
Multi-file projects, dependency installs, rebuilds, even weird TypeScript issues.
3. Long-running agents
10–15 minutes of continuous reasoning and iteration.
This is far beyond autocomplete.
This is assembly-level intelligence.
Real-World Application
Example: The CapCut Clone That Shouldn’t Have Worked
A short prompt, one UI screenshot, and Gemini 3:
created the project
installed dependencies
wrote a timeline editor
fixed multiple import/type errors
rebuilt the app
and delivered a working browser-based editor
The FPS wasn’t perfect.
The tools were minimal.
But the fact it worked at all is the breakthrough.
This is the first time an LLM crossed from:
“Here’s some React code”
to
“Here’s your app running in the browser, let’s fix what’s broken.”
Prompt Template: One-Prompt MVP Request
You are a senior full-stack engineer.
Build a fully working {app type} using:
Framework: {Next.js/Vite/React/Three.js}
UI reference: {image/screenshot}
Key features:
{feature}
{feature}
{feature}
Requirements:
Functional UI
Working logic
Clean project structure
No placeholder APIs unless specified
Keep iterating until the project builds and runs cleanly
After generating:
Run through all errors
Fix imports, dependencies, and type issues
Rebuild and validate
Stop only when the app runs without errors.
Workflow for Using This With Gemini 3 + IDE
Paste prompt
Attach UI reference
Watch first build
Paste errors → let AI fix
Repeat until stable
Polish as needed
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Anti-Gravity: Google’s New AI IDE
A direct Cursor competitor, but deeper.
It combines:
IDE
Browser
Screen recording debugger
Gemini 3 agent mode
Real-time file manipulation
Live UI preview Gemini can “see”
Project setup + task planning
Autonomous multi-step execution
Anti-Gravity isn’t “ChatGPT inside VSCode.”
It’s a completely reimagined development environment built around AI, not next to it.
For builders, this might be the most important tool released in the last two years.
Before you go
Everyone is looking at the models.
But the future of software development will be shaped by environments, not just intelligence.
Anti-Gravity is the first glimpse of what happens when you design a dev environment where:
AI builds
AI sees
AI debugs
AI iterates
and humans supervise
The shift isn’t “coding with AI.”
It’s building alongside an AI partner inside the IDE.
And I’m experimenting with a new, tighter format for these issues, more focused, more practical, and more templatized.
I’d love your feedback on this new style.