Solo Developer, 60, Builds AI Memory System by Using It as His Entire Workflow

A self-taught developer with 40 years of experience has spent the past 18 months building and refining a personal AI-assisted productivity system by using it as the backbone of his entire workday, not just as an occasional test. He identified a core problem with AI coding tools like Claude, Cursor, and Copilot: each new session loses prior context, forcing the user to manually re-explain decisions, architecture, and past fixes. To solve this, he built a system where his notes, project decisions, and AI interactions share a persistent memory layer, then continued developing that same system within itself. His real-world daily use — including actual network conditions, ISP quirks, and varied work types such as writing and admin — exposed design flaws no staging environment would have caught. He argues that meaningful dogfooding for solo builders means making your tooling the foundation of how you work, so that when it fails, your whole day fails.