Technical Architecture

Framework Evolution: JobFit AI represents a paradigm shift in serverless architecture, migrating from traditional containerized services to the ultra-low latency Cloudflare Workers platform. By leveraging the lightweight Hono framework, we achieve sub-millisecond cold starts and global edge distribution, eliminating the overhead of traditional heavy backend frameworks while maintaining robust type safety and developer experience.

Data Persistence & Compliance: The data layer is engineered using Cloudflare D1, a distributed SQL database that offers the ACID compliance of SQLite with the scalability of the edge. Complementing this is Vectorize, our high-performance vector database, which enables efficient retrieval-augmented generation (RAG) by performing semantic similarity searches over the candidate's vectorized professional profile in real-time.

Artificial Intelligence: At the core of our intelligence engine is Google Gemini. We integrate deeply with Gemini models via Cloudflare Workers AI, allowing for context-aware interview simulations and precise job fit analysis. The system dynamically constructs prompts using retrieved context from Vectorize, ensuring that every AI interaction is grounded in verified profile data rather than generic training sets.

Frontend Performance: The user interface is built with optimized Vanilla HTML5 and CSS3, eschewing heavy client-side bundles for raw performance. We achieve a perfect balance of aesthetics and speed through custom glassmorphism effects, responsive grid layouts, and hardware-accelerated animations, delivering a premium "app-like" feel directly in the browser without the hydration cost of React or Vue.