UI/UX
Full-Stack
AI Chatbot
Core Chat
Sub-50ms AI conversational system powered by Groq & Llama-3. Features real-time streaming, AST Markdown/code parsing, and memory-isolated session architecture on Supabase.
Responsive Web / Desktop
Industry
AI Chat
Year
2026
Timeline
1 Week
• The Engineering Challenge: Traditional LLM interfaces suffer from UI frame drops during high-velocity token streaming and memory bloat across concurrent threads. The objective was sub-100ms first-token latency with zero main-thread freezing. • Frontend Architecture & State Isolation: Designed a custom reactive state machine. Session states are RAM-managed using thread primitives decoupled from local disk I/O. Asynchronous token streams bypass full-tree re-renders, piping directly into a virtualized AST Markdown & syntax-highlighted code parser. • Backend & Data Pipeline (Supabase + Groq): Architected an optimized relational schema in Supabase with indexed foreign keys for sub-20ms message retrieval. API requests leverage Groq LPU inference pipelines with an optimistic UUID guard pattern to prevent race conditions during rapid asynchronous follow-ups. • Production Impact & Result: Delivered instantaneous streaming at 120+ tokens/second, zero UI latency on heavy code payloads, and clean thread isolation across hundreds of message exchanges.







