long-running-agent

To manage complex software development projects across multiple AI sessions, you need a long-running agent protocol that preserves project context and maintains consistent progress using dedicated tracking files within the .claude/ directory.

Preventing context loss during incremental feature development is achieved by delegating tasks to isolated SubAgents, which prevents context contamination and records project status meticulously in dedicated progress files.

You track project progress for large-scale applications by utilizing dedicated files like progress.md and features.xml to meticulously record and manage project status, ensuring seamless resumption across different work sessions.

Yes, the long-running-agent protocol supports task delegation through a SubAgent architecture, enabling isolated development agents to handle specific tasks without context contamination across multi-session workflows.

You should use a SubAgent architecture for project management when developing full-stack applications with over 50 features, ensuring tasks are clearly defined, delegated, and resumed seamlessly across different work sessions.