Observed since 20 Oct, 17:44 UTC
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Build full-stack applications instantly through natural conversation
Build full-stack applications with AI: real code you own and ship.
0perator helps you build modern, well-designed full-stack apps without worrying about the tech stack. You focus on product functionality and design—we handle the infrastructure.
Unlike vibe-coding platforms, you own the code: it lives in your local repo with professional workflows like git, branches, and PR reviews. You get full-stack apps with real databases and auth, not just UI prototypes. No vendor lock-in: change providers, add any library, extend beyond what we support.
Unlike plain AI coding, you don't have to research the best modern stack or how to wire it together. 0perator gives AI assistants deep, specific guidance on exact patterns—how to structure tRPC routers, which Drizzle patterns to use, how auth integrates with the database. The result is idiomatic, high-quality code with less manual steps.
We don't just build your app scaffold, we support the full development lifecycle:
After installing 0perator, try asking your AI coding assistant:
Once your app is built, we also support deployment:
And hardening for better AI-assisted development:
Finally, we support you all the way to production:
npx 0perator@latest init
This will configure your IDE with the MCP servers. Select which IDE to configure when prompted.
# Interactive mode (select IDE with arrow keys)
npx 0perator@latest init
# Configure specific IDE
npx 0perator@latest init --client claude-code
npx 0perator@latest init --client cursor
# Pin to current version instead of always using latest
npx 0perator init --no-latest
The init command will:
0perator creates apps using the T3 Stack:
Everything is configured and connected automatically.
0perator provides AI assistants with tools and skills via MCP (Model Context Protocol).
Because we're opinionated about the stack, we can write skills with precise, battle-tested instructions—not generic advice that works across many frameworks. This is why being opinionated matters: it lets us teach AI exactly how to build with this stack.
Skills are step-by-step guides for complex workflows. AI accesses them via the view_skill tool:
create-app - Full app creation: database, auth, shadcn componentsdeploy-app - Deploy to Vercel with environment configurationadd-backend-testing - Vitest integration tests with isolated test databaseadd-strict-checks - Stricter TypeScript and lintingTools handle atomic operations that skills orchestrate. Examples:
view_skill - Load a skill to guide the current workflowopen_app - Open app in browsercreate_database - Provision Tiger Cloud PostgreSQLcreate_web_app - Scaffold T3 Stack app with database connectionDev mode: Run npm run dev -- init --dev from the repo to configure IDEs to run the MCP server from source. Code changes take effect on IDE restart without rebuilding.
See CLAUDE.md for development setup, adding new tools, and debugging.
When testing app creation, verify that the AI coding agent calls view_skill('create-app') in the first few tool calls. This ensures the agent follows the structured workflow for setting up the database, auth, and UI components correctly.
You own the code: No platform lock-in. Your code lives in your repo, runs on your infrastructure, and you can change anything—even replace us entirely.
Humans design product not infrastructure: You think about the product experience, AI handles the infrastructure decisions.
Agentic Ergonomics: Abstraction layers that help humans can hinder AI agents. 0perator embraces direct, parameter-driven interfaces that AI can use efficiently.
Best Practices Built-in: T3 Stack provides type-safety from database to UI with tRPC and Drizzle.
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This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 17:44 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
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