SpecTree Session Management

To maintain AI session context continuity, use a session protocol that logs progress, records decisions, links files, and leaves summaries for future tasks. This prevents repetitive work and lost information across development sessions.

An AI session protocol is a structured workflow that guides an AI assistant through start, during, and end phases of a development task. It ensures context continuity by checking previous progress, logging decisions, and summarizing completed work for future reference.

To start an AI session without losing progress, invoke the session initiation protocol to check previous context, review current progress, and assess task requirements before beginning work. This ensures the AI picks up exactly where the last session ended.

Yes, you can log blockers and linked files during an active AI development session using in-session logging. This feature enables recording progress, decisions, linked files, and notes in real-time as the AI works through complex software features.

SpecTree session management does not require any external dependencies to operate. It functions independently using internal scripts to manage the session lifecycle, ensuring context continuity for SpecTree-integrated development workflows.

The best way to summarize an AI session for future task execution is to use a session end protocol that marks completion, updates progress, and generates a summary of decisions and blockers for the next session to reference.