You type a description. Three minutes later, there's a working B2B SaaS at its own URL, with auth, a database, a UI, and source code you own. Here's exactly how that happens.
You Describe What You Need
No wireframes. No technical specs. Just plain English.
"A help desk for IT teams. Track support tickets with priority and status. Assign tickets to team members. Dashboard showing open vs resolved tickets."
That's the entire input. You can also pick a template (CRM, invoicing, help desk, etc.) and customize from there. Metacloud takes it from here.
The Scaffold Goes Down (5 seconds)
Before any AI touches your project, Metacloud drops a proven foundation: 700 lines of battle-tested infrastructure code. This isn't generated - it's pre-built and tested.
Your app immediately has:
- User signup, login, and session management
- Multi-tenant workspaces (each user sees only their data)
- A dashboard that auto-populates with stats
- A responsive nav bar and clean layout
- Shared helpers for database access, ownership filters, and rendering
This is the key insight: don't ask AI to reinvent authentication every time. Give it a solid foundation and let it focus on your unique features.
AI Plans the Features (20 seconds)
Your description goes to an AI that understands web applications. It decomposes your idea into focused Blueprint modules - one per feature:
tickets.py- CRUD for support tickets with priority, status, assignmentteam.py- Team member management and assignmentdashboard_stats.py- Metrics: open vs resolved, response times
Each Blueprint is small (200-400 lines) and self-contained. This is the same strategy experienced developers use: break the problem down, then build each piece independently.
Code Generation + Review (2-3 minutes)
Each Blueprint gets its own generate-review-merge cycle:
- Generate - AI writes the Blueprint following the scaffold's patterns. It imports shared helpers (no reinventing the wheel), uses the owner filter for multi-tenancy, and registers dashboard stats automatically.
- Review - A second AI pass checks: Does it implement the spec? SQL injection? XSS? Does it integrate with the scaffold? Obvious bugs?
- Merge - Approved code goes into the project's git repo.
If review finds issues, the code goes back for revision. Up to three rounds. Because each Blueprint is focused and follows clear patterns, most reviews pass on the first try.
Deploy (10 seconds)
Once all Blueprints are merged, Metacloud:
- Creates a Python virtual environment
- Installs dependencies
- Runs the database migrations
- Starts the application on an isolated port
- Maps it to
your-app.metacloud.io
Your app is live. With a real URL. You can share it, test it, show it to users.
It's Yours
Every line of source code is in a git repo you can clone. Want to modify it? Clone and go. Want to host it yourself? Download and deploy anywhere Python runs. There's no lock-in, no proprietary runtime, no magic you can't inspect.
What You Get
In about 3 minutes, from a text description:
- ✓ A working B2B SaaS with real features
- ✓ User auth + multi-tenant workspaces
- ✓ Deployed at
your-app.metacloud.io - ✓ SQLite database with proper schema
- ✓ Responsive UI that works on mobile
- ✓ Git repository with full source code - no lock-in
- ✓ Free to try, no signup required
Why 3 Minutes Instead of 15?
The old approach: AI generates everything from scratch - auth, database, routing, templates, CSS. A 900-line monolithic file that often hit token limits and broke halfway through.
The new approach: a proven scaffold handles the hard infrastructure. AI only generates the features - focused Blueprint modules of 200-400 lines each. Less code to generate means fewer bugs, faster reviews, and apps that actually work end to end.
Less AI-generated code = better results. Counterintuitive, but true.