Multi-Agent Systems From Textbook to Terminal Part 3: When Agents Argue, Talk at the Same Time or Quit (and How to Recover) Welcome back to my "robustified" rebuild of Victor Dibia's Designing Multi-Agent Systems. Part 1 reimagined the first technical chapters of Victor book, re-implemented in three modern
Multi-Agent Systems From Textbook to Terminal Part 2: Browser Agents & DAG Pipelines - Where Agentic Frameworks Diverge In Part 1, using robust secure modern AI development practices, I rebuilt the first two technical chapters of Victor Dibia's Designing Multi-Agent Systems. I mirrored the rebuild across
Multi-Agent Systems From Textbook to Terminal Part 1: A Robust Multi-Framework Rebuild of "Designing Multi-Agent Systems" A walkthrough of reimplementing chapters from Victor Dibia's multi-agent systems book using Microsoft AutoGen, and the gap between educational code and production-ready engineering.
LLMs How I built a Full-Stack Custom AI Research Platform A deep dive into building a custom full-stack chat application with FastAPI, Next.js, PostgreSQL/pgvector, and multi-provider LLM support. Covers architecture decisions, RAG memory, streaming, deployment, and what I deliberately left out.
Time Series Someone Else Owns My Best Code, So I Rewrote It Rebuilding proprietary ML projects from scratch with modern tooling and synthetic data. GRU and Prophet for freight forecasting, K-means with LSA for network event clustering, served behind a FastAPI inference layer.
