Leading a team of agents
“Think of it like a high-performing engineering team,” says Dr. Eran Yahav, co-founder and CTO of Tabnine, a popular AI coding assistant. “One agent writes code, another tests it, a third performs documentation or validation, and a fourth checks for security and compliance.”
In multi-agent workflows, each agent excels in a specialty, mirroring the roles of a human engineering team. “Each agent works on its own thread, while the developer stays in control, guiding and reviewing their work,” says Zach Loyd, founder and CEO of Warp, provider of a developer environment built for coding with multiple agents.
Beyond just building software, areas like test execution and deployment are ripe for agentic handoffs too, even across vendors. “Coding is just one part of the SDLC,” says Wing To, CTO at Digital.ai, which provides an AI-powered software delivery platform. For To, a robust multi-agent workflow combines all aspects of the SDLC, including continuous delivery.
