ferro-rs 0.2.10

A Laravel-inspired web framework for Rust
Documentation

Ferro

A batteries-included Rust web framework optimized for AI-assisted authoring.

Ferro is built for developers whose primary authoring tool is an AI coding agent (Claude Code, Cursor, and similar). Every subsystem exposes typed introspection through an in-process MCP server (ferro-mcp), so an agent connected to your project can read routes, models, handlers, validations, and generation context as tool calls instead of guessing from source.

The defining feature is service projections: describe a service and intent, get a working UI. The ferro-projections crate maps typed model pipelines to rendered views, so an agent can scaffold an end-to-end CRUD or workflow surface from a single declaration. At v1.0 the output is visual (HTML via JSON-UI); the underlying model is media-independent.

What's included

  • Routing and middleware — macro-based route definitions, typed extractors, middleware pipeline
  • Inertia.js integration — React/TypeScript SPAs with automatic type generation and compile-time component validation
  • JSON-UI — server-rendered, server-driven UIs with 30+ built-in components and a plugin system
  • Events and listeners — typed event dispatcher with async listeners
  • Background jobs — queue workers backed by ferro-queue with retries and scheduling
  • Multi-channel notifications — mail, database, broadcast and custom channels via ferro-notifications
  • WebSocket broadcasting — real-time channels via ferro-broadcast
  • File storage abstraction — local and S3 drivers via ferro-storage
  • Caching with tags — in-memory and Redis backends via ferro-cache
  • Localization — translation files per locale via ferro-lang
  • Semantic theming — fixed token vocabulary and intent templates via ferro-theme
  • Service projections — typed model-to-UI pipelines via ferro-projections
  • Stripe billing — subscription and payment primitives via ferro-stripe
  • AI classification and confirmations — structured LLM output and human-in-the-loop flows via ferro-ai
  • WhatsApp messaging — Business Cloud API integration via ferro-whatsapp
  • MCP introspection server — 80+ tools for agent-assisted development via ferro-mcp

Quick start

cargo install ferro-cli
ferro new myapp
cd myapp
ferro serve

Add the framework to an existing project:

[dependencies]
ferro = { package = "ferro-rs", version = "0.2" }
tokio = { version = "1", features = ["full"] }

Documentation

Agent workflow

  1. Install ferro-cli and create a project.
  2. Point your AI agent at ferro-mcp via its MCP configuration.
  3. The agent introspects the project (application_info, list_routes, list_models, list_projections) and generates code, projections, and views against the live application surface.

There is no bundled agent UI. ferro-mcp is the introspection layer your agent talks to.

Status

v0.2.0 — pre-1.0. Breaking changes are allowed between minor versions until 1.0. The framework is developed in the open and is not feature-frozen.

License

MIT