Monorepo AI refactoring

Monorepos concentrate risk: one bad refactor can break many packages. Parallel AI agents can still help if you partition work by boundary—for example one card per package, service, or vertical slice—and merge in small batches. Vibe Kanban’s worktree model keeps those partitions physically separate until review passes.

Patterns that work

• Vertical slices – One agent updates API + client + tests for a single feature flag path.
• Mechanical migrations – Rename or API churn across a subtree, one card per subtree.
• Dependency bumps – Separate cards per major package so CI failures are attributable.

Risks to manage

Shared lockfiles, codegen, and global caches can create hidden coupling. Document constraints on each card, run your normal CI on merges, and use the AI code review checklist on every diff.

Related

Use cases: refactoring · Git worktrees for AI · Workspaces docs