Memory

Surviving the Context Window

Part 2 of Building My Agentic Workflow in Public. Part 1 turned my prompting into a repeatable process. This one is about the wall I hit right after: a single session is never big enough for real work. In Part 1 I turned the way I work into a repeatable workflow: an agile-style vocabulary of epics, features, tasks, and defects, with a command to drive each step. It made the work predictable. It didn’t solve the bigger problem, which showed up the moment the work got real. An LLM session has a memory limit, and serious work blows right past it. ...