Your Agent Harness Should Repair Itself: Learning From Production Failures
blaizedsouza · x · 2026-09-12
This article explains how an agent harness can learn from production failures and repair itself, covering four core mechanisms:
- Procedural memory: distilling failures into reusable experience
- Trace-based diagnosis: locating root causes from execution traces
- Sandboxed reruns: validating fixes in isolated environments
- Regression tests: ensuring repairs don't break existing behavior
Aimed at engineers building long-running agent systems.
Related event: Article Argues Agent Harnesses Should Repair Themselves(2 posts)→
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