TRACE directly addresses the repeated-friction failure mode where users must restate the same correction across sessions — a gap that memory-based approaches alone demonstrably fail to close.
Build the execution environment — not just the prompt — to reduce token waste, prevent architectural drift, and catch agents that game their own evaluations in long-running coding workflows.