session-log

AI session state persistence saves all session progress—including code changes, decisions, and tool outputs—in a structured log file hierarchy. This ensures that no data is lost during development and allows sessions to be resumed without manual effort.

To initialize a new persistent session, you start a new development session which automatically sets up the structured file hierarchy. This hierarchy handles state writing and chunk management to track your progress from the beginning.

Yes, session state management works for cross-machine continuity by leveraging persistent session logs. This allows you to switch machines and pick up exactly where you left off without losing your development context.

Chunk management and commit ordering handle state writing by maintaining detailed logs in a structured file hierarchy, ensuring robust tracking of session metadata and analysis gate checkpoints throughout the workflow.

You need analysis gate checkpoints during session resumability to ensure robust state management for chunk metadata. They validate session progress and commit ordering before allowing a resumed session to continue processing.