Build with AI speed and
human control
Xano is the visual backend-as-a-service platform that makes AI building work—with an agent that builds from prompts, a scripting language purpose-built for human-agent collaboration, and governance built into every layer. Build fast. Trust what you ship.
Build from prompts
Describe your backend in natural language and get production-grade results—not prototypes you’ll rebuild later.
Work with coding agents
A purpose-built scripting language and Developer MCP give AI agents the context to generate backends that actually work.
Govern AI code easily
Standardized logic, no-code visual validation, and isolated environments—AI-generated code never reaches production without human oversight.
AI-generated code you can ship with confidence
Speed without structure creates risk. Xano is the visual backend-as-a-service platform that gives you both—an AI agent that generates production-ready backends, a developer experience built for human-agent collaboration, and AI governance that’s structural, not bolted on.
The Xano Agent turns natural-language prompts into real databases, real APIs, and real business logic—all running on Xano's scalable, production-grade backend-as-a-service infrastructure.
Generate data models, API endpoints, and workflows from a single prompt.
Use no-code visual validation to review everything before it goes live.
Ship on production-grade infrastructure immediately—no deployment pipeline to configure.
XanoScript is a scripting language purpose-built for human-agent collaboration. The Developer MCP connects AI coding tools to official Xano documentation and the XanoScript language server—so agents generate backend logic grounded in real platform capabilities, not generic code that needs to be reworked.
Work with your coding agent or IDE of choice: Claude, Cursor, Windsurf, and more.
Logic standardization is enforced by default: every primitive follows the same opinionated structure.
Database schemas, APIs, middleware, workflow orchestration, and MCP servers all speak the same language.
AI-generated code fails in ways that are hard to catch. Xano solves this structurally: standardized patterns constrain AI output, a no-code visual validation layer makes AI code review scalable, and isolated environments keep mistakes away from production.
Give AI the tools to build using opinionated, standardized patterns.
Review AI-generated logic through no-code visual validation—without reading every line of code.
Test in sandboxed environments before anything touches production.
The backend agents can build and
humans can trust.
Frequently asked questions
The Xano Agent takes natural-language prompts and generates real backend infrastructure—database schemas, API endpoints, business logic, and workflows—all running on Xano's production-grade platform. You describe what you need, review the output through no-code visual validation, and iterate with follow-up prompts until it's right. There's nothing to deploy or configure separately.
XanoScript is a scripting language purpose-built for human-agent collaboration in backend development. It gives developers and AI coding agents full code-level control while enforcing logic standardization and workflow orchestration into opinionated, predictable patterns. The result is backend logic that stays readable, reviewable, and maintainable—no matter who or what wrote it.
The Developer MCP connects AI coding agents like Claude Code, Cursor, and Windsurf to official Xano documentation and the XanoScript language server. It gives agents the context they need to generate accurate, production-ready backend logic instead of guessing—reducing debugging cycles and structural errors.
Xano provides three layers of AI governance built into the platform. First, XanoScript channels AI output through standardized patterns so every API and workflow follows the same structure. Second, no-code visual validation lets developers and team leads review AI-generated logic without reading every line of code. Third, isolated sandbox environments let you test AI-generated code before it touches production. Nothing goes live without human oversight.
Visual validation is the ability to review AI-generated backend logic—endpoints, data models, workflows, and business rules—through a visual layer instead of reading raw code. It makes AI code review scalable by letting technical and non-technical stakeholders inspect what was built, reason about execution paths and edge cases, and catch errors before deployment.
No. Xano gives you three ways to build: use the Xano Agent to generate backends from natural-language prompts, use the visual builder for no-code development, or write code (or let agents write code) in XanoScript using your IDE of choice. All three produce the same deployable infrastructure on the same platform—and everything is interchangeable. You can start with the agent, refine visually, and drop into code when you need full control.
Yes. The AI generates the logic, but Xano provides the infrastructure—scalable Postgres, authentication, background jobs, workflow orchestration, and automatic deployment. AI-generated backends run on the same production-grade backend-as-a-service stack as everything else on the platform.
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