Multi-agent AI workflows reshape the developer's day-to-day

Bill Doerrfeld | August 11, 2025

My latest for InfoWorld explores the state of multi-agent AI coding workflows

In a multi-agent coding workflow, an engineer leads a "team" of specialist AI agents to perform various SDLC tasks: scaffolding, coding, testing, log analysis, deployment, and more.


It's a cool concept set to reshape the developer's day-to-day. But there are still a lot of gaps, namely around orchestrating agents, updating system prompts, and agent visibility.


My article for InfoWorld offers a rundown of the state of multi-agent coding: the benefits of this in practice and emerging best practices (like having a shared knowledge base and governance strategy for agents).

Read: Multi-agent AI workflows: The next evolution of AI coding

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