A practical model for AI coding agents that need to remember projects, tasks, executions, and runtime sessions separately.

A practical model for AI coding agents that need to remember projects, tasks, executions, and runtime sessions separately.

Meta research shows coding agents perform better using compact summaries of past attempts rather than raw execution logs, signaling a shift toward memory-efficient AI design.

Three hackathons in three months. Three different agent setups. Three times I wrote a system prompt...