Insights on coding with AI, AI-assisted development, and modern programming workflows.
How I built a sophisticated prediction model that captures the complex relationships in NFL play-calling using Graph Neural Networks, multi-task learning, and quantile regression. The architectural decisions that made predicting football actually work.
A technical walkthrough of the Sports AI Assistant — a retrieval-augmented generation (RAG) system designed to handle complex, real-time sports queries using large language models, semantic retrieval, and live data integrations.
How I built a semantic entity resolution system using vector embeddings to transform natural language queries into structured data lookups, enabling OddsTrader's conversational AI to ground responses in real-time sports data.
A deep dive into the architectural decisions, constitutional principles, and technical tradeoffs behind building a Model Context Protocol server for content management and AI integration.
AI-assisted coding isn't about writing faster—it's about thinking differently. How treating AI like a collaborator instead of a tool changes everything about building software.