sequential-agent-execution

Multi-step refactoring coordination is handled by deploying sequential pi agents that execute isolated steps with explicit validation checkpoints. You define each change as a separate step in a markdown plan, verify completion, and proceed to the next step to maintain tight context.

Progress tracking for stepwise code changes is managed through markdown-based task plans and centralized coordination. This provides visibility across large changes by defining explicit checkpoints and using agent orchestration to validate each isolated step before proceeding.

Context isolation in sequential agent orchestration works by assigning each step its own independent context to prevent cross-contamination. This enables isolated execution of independent steps while maintaining centralized progress tracking across the entire workflow.

Sequential agent execution is needed when upgrading subsystems across several modules where steps are independent and require explicit checkpoints. It satisfies requirements for stepwise planning, validation, and structured coordination using markdown plans.

Markdown plans validate checkpoints between independent refactoring steps by describing each step with clear completion criteria. The executor performs Step 1, verifies the checkpoint, and continues to Step 2, ensuring structured coordination and isolated execution.

Sequential orchestration limitations include its restriction to independent steps requiring explicit checkpoints. It is not suited for dependent steps or tasks lacking clear validation criteria, as context isolation prevents cross-contamination between sequential operations.