Reframing AI Coding Agents: From Linear Chat Logs to Call Stack Context
teortaxesTex · x · 2026-08-11
Current mainstream AI coding agents (like Claude Code) typically organize context using a linear, chat-like history. The developer points out that this architecture inevitably leads to severe context compaction issues during long-running tasks.
He suggests that a seasoned software engineer's mental model of progress actually resembles a call stack—constantly pushing and popping sub-tasks. If an agent's harness could organize context like a flame graph rather than a linear log, context compaction wouldn't even be necessary in many cases.
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