Effective harnesses for long-running agents

13 days ago

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AI agents struggle with long-running tasks due to memory loss between sessions.
Claude Agent SDK introduces a two-fold solution: initializer agent and coding agent.
Initializer agent sets up the environment, including scripts and progress tracking.
Coding agent works incrementally, ensuring clean state and clear artifacts for next session.
Key challenges include premature project completion and undocumented progress.
Feature list file helps agents track and verify progress systematically.
Incremental progress and testing are emphasized to maintain code quality.
Git and progress files are used to bridge gaps between sessions.
Future work includes exploring multi-agent architectures and generalizing solutions to other fields.

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