AI-Native Full-Stack Framework
Ship production full-stack apps faster â AI-native, governed, and ready from day one.
Highlights
Compound AI productivity with every iteration, while keeping delivery quality verifiable and adaptable at scale.
AI-native R&D Workflow
Verified specs guide AI from discovery to release, keeping requirements, code, and tests aligned.
Rich AI Skills Ecosystem
Reusable AI skills handle coding, review, tests, and automation across every project.
Module-level Loose Coupling
Interface-based modules can be enabled, replaced, or removed without full-stack rewrites.
Dual-mode Pluggable Runtime
Source plugins handle deep extension; WASM plugins hot-load with sandboxed resources.
Unified Full-stack Contracts
APIs, docs, permissions, and workspace screens share one documented, testable model.
Framework-level I18n Governance
The core framework, plugins, and API docs share language packs, checks, and runtime caches.
Native Distributed Architecture
Cluster-aware sync, locks, and caching let one node scale out without code changes.
Native Multi-tenant Support
Tenant context and governance hooks live in core, with single-tenant fallback built in.
Production-ready Out of the Box
JWT, RBAC, forced logout, and device auditing ship ready for day-one operations.
Composable Full-stack Architecture
A composable full-stack architecture where each layer can evolve independently.
Core Framework Service
apps/lina-coreA general-purpose Go backend runtime that handles API contracts, service governance, auth, permissions, and the plugin lifecycle out of the box.
Admin Workspace
apps/lina-vbenA production-ready Vue 3 workspace that ships as the reference UI for every built-in capability â extend it, or swap it out entirely.
Dual-mode Plugin System
apps/lina-pluginsHot-loadable source plugins and WASM runtime plugins, each sandboxed with namespaced database and filesystem access â extend or replace anything without touching the core framework.
AI-native R&D Workflow
openspec/A spec-first workflow that keeps AI, humans, and the codebase in lockstep across every iteration.
Spec-driven AI development loop
A spec-driven development loop that keeps AI output aligned with requirements, code, and tests.
Explore
Map out the problem space and weigh the options before committing to one.
Propose
Turn intent into an incremental spec, anchored to clear acceptance criteria.
Implement
AI builds against the spec and writes the matching E2E tests alongside it.
Review
Humans sign off on the spec, the code, and the tests at the gates that matter.
Archive
The verified spec joins the baseline, so the next iteration starts on solid ground.
A workspace ready to use on day one
Start with a ready-to-use admin workspace, then extend or replace modules as your product grows.
Ready to ship AI-native software?
Explore the docs, review the source, or start building with LinaPro today.