Effective harnesses for long-running agents

Anthropic developed a two-part solution for enabling AI agents to work effectively across multiple context windows on long-running tasks. The approach uses an initializer agent to set up the environment with feature lists, git repositories, and progress tracking files, followed by coding agents that make incremental progress Show more