"Using multiple AI agents in tandem opens up impressive possibilities. “AI agents encode the wisdom of senior engineers and apply it universally,” Yahav says.
Looking to the future, Digital.ai’s To anticipates productivity gains with fewer errors and reduced cognitive load, as developers tap various agents for lower-level details. “As this space matures, multi-agent workflows will increase velocity by significantly reducing toil,” he says.
But doing this well will require clear boundaries around product requirements, coding standards, security policies, and more.
In short, AI tools require intention. “An agentic software development life cycle needs the same pillars that a high-performing human team does: a clear mission, a code of conduct, and shared knowledge,” adds Wang.
So, although we’re heading toward a future where developers manage a fleet of agents, early testers should prepare for a lot of trial and error. As Roeck puts it, “Get ready to fail. This isn’t baked yet.”"
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