Multi-Agent Coding Workflows: When Parallel Agents Help

Parallelism is not the same as delegation

Multiple agents are most useful when they can investigate or produce independent evidence at the same time. One agent can map an unfamiliar subsystem, another can review a diff, and another can draft test cases. A developer can then decide what should become a change.

Sending several agents into the same files with the same vague request usually creates duplication, conflicting edits, and more review work than it saves.

Give each agent a bounded role

Define the goal, inputs, allowed tools, and expected output for each run. Read-only research and review are easy to parallelize because they do not compete for workspace state. Writing tasks should have clear file ownership or happen sequentially after the evidence is combined.

• Research agent: inspect and summarize a subsystem.
• Review agent: identify risks in a change or plan.
• Test agent: propose cases and validation commands.
• Implementation agent: make one bounded, reviewed change.

Keep a human as the integration point

Agents can produce useful observations, but the integration decision belongs to the person responsible for the repository. Review the evidence, resolve conflicts, choose the implementation path, and run the final validation once.

Truss keeps agents and their activity scoped to the workspace so parallel work can remain visible instead of leaking unrelated plans into a primary conversation.