Articles describe production harness mechanisms to prevent long-horizon LLM agent failures, including context management and execution loop limits
Other Provisional 42% confidence first seen
The coverage discusses approaches for keeping long-horizon LLM-based coding agents from failing due to context overflow and goal loss. It also describes implementing production “harnesses” that enforce token limits, remove PII, validate structured outputs, filter unreliable citations, and cap or safely stop recursive model/tool loops.