A single coding agent handles one active chain of work, while a multi-agent system coordinates several agents that can plan, implement, test, or review separate tasks concurrently. The difference is primarily execution structure, not simply the number of model calls.
| Area | Single coding agent | Multi-agent system |
|---|---|---|
| Context | One working conversation | Separate contexts per worker |
| Execution | Mostly sequential | Concurrent when tasks are independent |
| Coordination | User manages the queue | Manager or orchestrator assigns work |
| Isolation | One workspace by default | Separate worktrees or clones, usually on distinct branches |
| Best use | Small, tightly coupled changes | Large features, experiments, and mixed workloads |
A single agent is often simpler for a focused bug fix because there is little coordination overhead. A multi-agent system becomes useful when a project contains independent workstreams or benefits from separate implementation and review perspectives.
Verdent uses a manager-and-worker approach: the goal is decomposed, workers receive bounded tasks, and results return for review. The practical test is whether the work can be divided without creating ambiguous ownership. More agents do not automatically make a project faster; clear contracts, isolation, validation, and controlled integration do.
