Show HN: I built a coding agent that works with 8k context local models

A coding agent has been developed to work with local AI models that have 8k context windows, unlike most agents requiring 200k models. It operates through a three-step process: mapping project structure, planning tasks, and executing changes one file at a time with token counting. The system uses a ring-buffer eviction system for conversation memory to maintain continuity within limited context.