About Code & Context

Code & Context is Bryan Young's field notebook on building useful AI systems: agent memory, evaluations, local-first infrastructure, and the human work of getting software into practice.

I write for engineers, founders, and technical leaders who need more than demos. The focus is practical proof: what worked, what failed, what to measure, and how to keep people in control as AI systems take on more of the work.

Recent threads include Observational Memory, DSPy agent skills, evaluation-first workflows, local AI infrastructure, and the overlap between software craft and creative work.

Start here:

• Read the latest field notes on agent memory, evals, and AI workflow reliability.
• Follow the open-source work on GitHub.
• Visit Intertwine AI if your team needs help turning AI experiments into useful workflows.

Subscribe if you want practical notes from the edge of AI engineering, software craft, and creative work.