---
id: "question-self-analyzing-traces"
type: "open-question"
source_timestamps: ["§ Where Harness Engineering is Going"]
tags: ["self-improvement", "debugging"]
related: ["concept-agent-harness", "entity-langsmith"]
resolutionPath: "Creating feedback loops where execution logs are fed back into a meta-reasoning prompt, allowing the agent to adjust its own harness configuration or tool usage."
---
# Agents Analyzing Own Traces

## The Question

How can agents be designed to **analyze their own execution traces** to identify and fix harness-level failure modes autonomously?

## Resolution Path

Likely directions:

- **Feedback loops on trace data** — execution logs (from platforms like [[entity-langsmith|LangSmith]]) are fed back into a meta-reasoning prompt.
- **Self-modifying harness configuration** — the agent proposes adjustments to tool selection, prompt structure, or compaction thresholds based on observed failures.
- **Trace-conditioned RL** — using traces as a training signal for harness-aware behavior.

## Why It Matters

This would close the loop on [[concept-harness-model-coevolution|model–harness co-evolution]] at *runtime* rather than at training time — and would partially address some of the overfitting concerns raised by [[claim-harness-overfitting]].