omk-flow-team-run

Multi-agent coding prevents parallel file conflicts by partitioning tasks into isolated worktrees with non-overlapping file ownership. This ensures concurrent workers independently implement separate parts without stomping on each other's changes during feature builds.

Automated code integration safely merges multi-agent patches by enforcing reviewer validation and evidence-gated integration. A reviewer checks each worker's diff, merging patches only after acceptance to ensure the integrated outcome meets acceptance criteria.

Regression testing on integrated code runs a final regression gate after merging patches from isolated worktrees. It loops back on failures to failed workers, enforcing iterative failure recovery to ensure the final integrated patch set meets acceptance criteria.

Task partitioning applies to repository refactors, bug fixes, and feature builds alike. It splits coding goals into file-level partitions across isolated worktrees, enabling safe parallel implementation and iterative failure recovery for any large-scale code change.

When a worker's diff fails reviewer checks, the multi-agent code integration blocks the automated merge. It enforces iterative failure recovery by looping back on failures to the failed workers, requiring self-testing and validation before acceptance.

No, you do not need to manually verify agent self-testing before an automated merge. The workflow requires each worker to implement and self-test independently, then automatically validates diffs via a reviewer before merging patches only after acceptance.