source-command-implement-batch

Parallel batch processing for code migration is orchestrated by reading a CSV source of truth, assigning non-overlapping rows to concurrent agents, and maintaining a rolling concurrency window to execute multiple tasks safely. It generates per-item structured reports and removes processed rows to track deterministic progress.

The maximum concurrency limit for parallel automation agents is a hard cap of 5 concurrent processes. This rolling concurrency window ensures high throughput during batch processing while preventing system overload or exceeding provider execution limits.

Concurrent batch orchestration prevents duplicate work by removing processed CSV rows as a signaling mechanism after assigning each agent a non-overlapping tail row. This deterministic progress tracking ensures no two agents execute the same migration task.

Yes, you can use a rolling concurrency window to migrate legacy code when migrated behavior depends on provider-specific command execution. The orchestration parses CSV instructions, generates per-agent argument payloads, and maintains a capped concurrency window to execute provider commands safely in parallel.

After a batch processing job finishes the tail rows, it produces a consolidated status table and a next batch continuation command. This output allows you to resume the migration workflow immediately without manual coordination or missed batches.

No, you do not need to manually skip instruction blocks when parsing a CSV for automated code migration. The orchestration automatically skips the instruction header, selects the specified tail window, and assigns valid non-overlapping rows to each concurrent agent.