Giving AI Agents Persistent Memory for Legacy System Development
This article details a systematic approach for enabling AI agents to effectively work on legacy systems by establishing structured project memory, reusable skills, verification processes, and handoff practices — using an 8-year-old order system as a case study for adding channel filtering with persistent context across sessions.
