Aftercode

The platform follows a layered architecture separating concerns into distinct tiers. The ClientTier renders interactive UI components using React and Next.js, handling state synchronization via WebSocket connections. The APITier acts as an HTTP request router that upgrades connections to WebSocket streams, routing messages to appropriate service handlers.

In the ServiceTier, controller modules encapsulate domain logic for code editing, session management, and AI‑driven suggestions. Each controller is located under the src/services directory, promoting clear module boundaries and testability. The DataEngineTier hosts the InferenceEngine, a thin wrapper around the Gemini AI SDK, executing model inference in a sandboxed runtime to generate context‑aware code completions.

Security is enforced at multiple layers: the WebSocket handshake validates JWT tokens, and all inbound messages are sanitized before reaching the AI inference layer to mitigate injection attacks. The build pipeline utilizes Vite with Vitest/Jest for unit and integration testing, and tsc for type checking, ensuring that both client and server bundles remain type‑safe.

Deployment is container‑agnostic; while no explicit Docker configuration is present, the codebase is structured to be easily packaged into a Docker image, facilitating CI/CD integration. The overall topology enables horizontal scaling of the WebSocket gateway and AI inference workers, allowing the platform to handle concurrent collaborative sessions with low latency.