Technical

How BYOB Works Under the Hood

V

Vikash

2025-01-05
14 min read
How BYOB Works Under the Hood

The Magic Box

To the user, BYOB looks like a simple chat window: you type a sentence, and a website appears. But effectively bridging the gap between natural language and executable code requires a complex symphony of technologies.

We are pulling back the curtain to show you exactly how we turn English into Software.

flowchart TD subgraph ARCH["🏗️ System Architecture"] direction TB USER["User Prompt"] --> INTENT["Intent Classifier\n(LLM)"] INTENT --> STREAM["Token Stream"] STREAM --> VFS["Virtual File System"] VFS --> BUILD["Vite Build Engine"] BUILD --> PREVIEW["Browser Preview"] end

Pillar 1: The Context Engine

The biggest challenge in AI coding isn't generating code; it's generating relevant code. If you say "change the header," the AI needs to know what the header looks like right now. It is a problem of state management.

We maintain a high-fidelity Context Window that acts as the AI's short-term memory. It holds: * The current file structure (Tree). * The content of currently open files. * Your previous instructions (Chat History). * A summary of the project's visual style (Global Tokens).

Visualization of the Context Window JSON object structure
Visualization of the Context Window JSON object structure

Pillar 2: The Virtual File System (VFS)

We don't spin up a Docker container effectively for every change; that would be too slow. Instead, BYOB runs a WebContainer environment directly in your browser. This is Node.js running inside Chrome.

* Instant Writes: When the AI generates App.svelte, it writes to an in-memory file system. * Zero Latency: Because the "server" is actually running inside your Chrome tab, there is no network round-trip to see changes.

Pillar 3: Real-Time HMR

We use Hot Module Replacement (HMR) to inject changes without reloading the page. This is critical for maintaining "Flow State."

flowchart LR subgraph HMR["🔥 HMR Cycle"] direction LR CHANGE["AI Edits Code"] --> DETECT["Vite Detects Change"] DETECT --> PATCH["Compile Patch"] PATCH --> SOCKET["Websocket Push"] SOCKET --> BROWSER["Browser Swaps Module"] end
  1. 1. The AI outputs a new CSS block.
  2. 2. The VFS detects the change.
  3. 3. Vite (our build tool) recompiles just that specific module.
  4. 4. The browser swaps the style instantly, preserving state (e.g., if a modal is open, it stays open).

Security & Sandboxing

Running code generated by an AI can be risky. We implement a Double-Sandbox architecture:

  1. 1. Iframe Isolation: The preview window runs in a separate domain (byob-preview.site), preventing it from accessing your main dashboard cookies.
  2. 2. Container Limits: The execution environment has strict resource limits to prevent infinite loops from crashing your browser.
Diagram showing the Iframe boundary security model
Diagram showing the Iframe boundary security model

Conclusion

BYOB is more than just a wrapper around an LLM. It is a purpose-built IDE that understands the nuances of full-stack development. We handle the complexity of the build chain so you can focus on the complexity of your ideas.

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