The Knowledge Chipper: An Agentic Coding Story
Summary
The Knowledge Chipper argues that AI agents in coding generate extensive contextual knowledge, but much of that context is lost when sessions end, leading to token waste and lost institutional knowledge. It highlights the need for session portability and cross-LLM collaboration to maintain continuity, and it discusses how this affects code review and developer workflows in an AI-augmented environment.