The first wave of enterprise AI focused on giving employees a single assistant. The next wave may involve teams of specialised agents coordinating behind the scenes.
UiPath’s Maestro Flow points towards that model: one agent can plan, another can generate code, another can test it and a further control can review outcomes before deployment.
Why one agent is not enough
Software work contains different responsibilities. Combining them in one unrestricted agent can make errors harder to trace. Specialisation creates clearer boundaries and allows organisations to choose the right model for each step.
Orchestration is the real product
The difficult part is managing handoffs, shared context, permissions and failure recovery. If one agent produces a poor output, the workflow needs to identify the problem without silently carrying it forward.
Businesses also need observability: who requested the task, which systems were used, what changed and who approved it. Without that record, speed can undermine accountability.
What it means for developers
Developers may spend less time writing routine code and more time defining tests, architecture and guardrails. Human judgement remains central because the team must decide what “correct” means.
The future of coding may look less like one magical assistant and more like a well-managed team—some human, some artificial, all operating within a visible process.
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