Orchestrate multiple AI coding agents by treating them as bounded workers rather than giving every agent the entire project. A central plan should define task ownership, dependencies, expected outputs, and the conditions for accepting each result.
Begin with a dependency graph. Assign independent leaf tasks first, such as a UI component, an API endpoint, and unit tests for an unchanged service. Give each agent the relevant files, coding rules, and acceptance tests. Use separate git worktrees or clones on distinct branches when workers may edit code concurrently. One manager should decide when a task is ready, blocked, or safe to merge.
The integration stage needs its own controls: inspect diffs, confirm shared interfaces, resolve conflicts, and run repository-wide validation. A reviewer agent can provide another perspective, but it should supplement rather than replace accountable human approval for production changes.
Verdent formalizes this workflow with Manager, parallel workers, Plan Mode, review states, and workspace isolation. The most effective orchestration is selective. Parallelize work with low coupling, keep architecture decisions centralized, and sequence tasks that depend on a changing schema or shared core module. This preserves speed without turning integration into a second project.
