Layered Code

Layered Code reimagines web development as a conversational, intent‑driven process. Instead of memorizing CLI commands or juggling multiple IDE windows, developers chat with an AI assistant—such as Claude Desktop—describing the functionality they need. The MCP server exposes file‑system access, tooling commands, and deployment hooks directly to the assistant, allowing it to create, modify, or delete code in real time. As soon as a change is made, frameworks like Vite or Next.js hot‑reload the browser view, giving developers instant visual feedback. When the user is satisfied, a simple conversational command can commit the changes to Git and trigger a production deployment pipeline, closing the loop from idea to live site without manual intervention.

The core value of Layered Code lies in its abstraction of tooling complexity. Developers can focus on product vision rather than build mechanics: “Add a dark‑theme hero section with feature cards” and the assistant translates that into semantic HTML, responsive CSS, and appropriate folder structure. Because the MCP interface is language‑agnostic, the same workflow works across JavaScript, TypeScript, Python, or any stack that supports hot module replacement. The server also offers a lightweight CLI for advanced users who prefer script‑based automation, but the conversational path remains the most accessible entry point.

Key capabilities include:

• File‑system MCP tools that grant the assistant read/write access to project directories
• Hot‑module replacement integration with Vite, Next.js, or similar frameworks for instant visual updates
• Git automation that stages, commits with contextual messages, and pushes to remote branches
• Deployment orchestration that can trigger CI/CD pipelines or cloud‑provider hooks directly from the chat
• Extensible prompt templates that allow teams to standardize common tasks while retaining full control over the assistant’s behavior

Typical use cases span rapid prototyping, educational coding sessions, and continuous delivery pipelines. A product manager can describe a feature set; the assistant produces scaffolded code, tests, and documentation. A solo developer can iterate on UI designs by simply telling the AI to “make the card hover effect smoother,” and watch the changes appear instantly. In a team setting, the same conversational interface can be shared across members, ensuring consistent implementation patterns without duplicating effort.

Layered Code’s standout advantage is its commitment to openness and vendor neutrality. It runs on macOS, Windows, and Linux; it works with any hosting provider or cloud platform; and it exposes no hidden prompts—every instruction the AI follows is visible to the user. This transparency, combined with a zero‑cost, open‑source license, makes Layered Code an ideal bridge between human intent and automated code generation for developers who want to leverage AI without sacrificing control over their development workflow.