brain-dump-workflow

You can enforce AI-assisted ticket workflows using a structured phase flow from ready through in_progress, ai_review, human_review, and done with explicit state handoffs. This ensures consistent quality and traceability across the ticket lifecycle.

Record telemetry for AI-assisted code reviews by enabling automatic logging of tool usage, session context, and decisions during the workflow. This provides detailed audit trails for compliance and review analysis.

Manage MCP tooling sessions for ticket implementation using stateful operations to create, update, and complete work with explicit session management. This allows continuous tracking of AI-assisted development tasks.

Yes, you can generate automated demos during the ticket workflow lifecycle. The workflow supports automated demo generation alongside state transitions and telemetry recording across the entire development process.

Start a new ticket workflow with MCP tooling by invoking the start-work command with a specific ticket identifier. This initializes the session management and telemetry recording for the development task.

Telemetry and audits for AI-assisted development tasks provide a repeatable and auditable process for ticket implementation. They ensure consistent quality, traceability, and compliance across the entire workflow lifecycle.