Effective harnesses for long-running agents Anthropic
Anthropic's Claude Agent SDK addresses the challenge of long-running agents that must work across multiple context windows by implementing a two-part solution: an initializer agent that sets up the environment with clear documentation and structure on the first run, and a coding agent that makes incremental progress in each session while leaving production-ready code artifacts for the next session. This approach mitigates failures where agents either attempt to complete tasks in a single context window and leave half-implemented features, or prematurely declare work complete after seeing partial progress, by enforcing step-by-step feature development and maintaining clear state between sessions.
Was this useful?