XanoScript: your whole
backend as code.

Xano runs JavaScript lambda functions natively through Deno, so you can bring existing logic directly into your Xano backend. For Python or other languages, you can deploy sidecar Docker microservices that run alongside your Xano workspace. This means you’re never forced to rewrite working code: you can bring your existing logic into Xano and combine it with XanoScript and the Xano editor however you see fit.

XanoScript is a scripting language designed specifically for backend logic and AI collaboration. It gives you full control over APIs, workflows, and data operations while staying perfectly synchronized with Canvas View and the Function Stack, so the whole team can read and validate logic without losing transparency.

Knowledge is a workspace-native library of persistent, team-authored context that tells agents how your team builds. It comes in three forms: a workspace AGENTS.md for always-on rules, docs for on-demand reference, and skills for step-by-step procedures (the same skills and AGENTS.md pattern standard AI coding tools rely on, brought natively into a governed workspace). You can author and manage it three ways: by hand in the Xano UI, through the Xano Agent, or via external coding agents over the Developer MCP, all writing to the same library, with reference files carried per skill. Inclusion modes (always, on demand, or manual) let each skill decide when it enters an agent’s context, so a large library never bloats a session. Every change flows through the same push and commit review as any other agent edit, with full version history, while admins lock and enforce both editing and inclusion. And the same context reaches your local coding agents through the CLI and Developer MCP, so instead of re-explaining your conventions every session, your team’s standards persist and apply repeatably, whatever tool your agents build in.

Without context, AI agents often produce backend code that doesn’t actually run in your environment. The Developer MCP makes your AI spec-aware: validating syntax, grounding outputs in real Xano features, and catching errors before deployment.

Xano is designed to integrate into standard engineering practices. The CLI enables terminal-based operations, scripting, CI/CD integration, environment management, and sandbox testing, so teams can automate backend development without changing how they work.

No. Xano provides ready-to-scale backend infrastructure out of the box, so you can focus on building APIs and business logic instead of provisioning servers, scaling databases, or managing deployments.

Not at all. You can build entirely by hand, entirely with AI, or anywhere in between. Xano supports human-written code, AI-generated logic, and collaborative workflows between developers and agents.