About
Ithaca is a public learning practice.
This site is a home for technical writing on LLM systems, agents, evaluation, and the engineering taste needed to build useful AI products.
The name Ithaca is a reminder to keep a destination in mind while doing the day-to-day work: read carefully, build small artifacts, test assumptions, write clearly, and improve in public.
The long-term goal is to develop technical judgment through output. Posts here will favor concrete implementation notes, paper-to-code walkthroughs, evaluation writeups, system design sketches, and honest failure analysis.
Writing themes
- LLM application architecture and reliability
- Agent loops, tools, memory, and workflow design
- RAG systems, context engineering, and retrieval quality
- Evaluation harnesses and observability for AI behavior
- Research notes that turn papers into runnable systems