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).
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The yearly API conference, apidays New York, is a hotbed for solid discussion on what's top of mind in the API space, and as MC I had a front row seat.
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My InfoWorld feature reviews the key building blocks in agentic systems and with real-world examples from Shopify, Block, and others.
My latest InfoWorld feature explores what makes an enterprise MCP registry effective, from semantic discovery to governance and security for AI agents.
My first-ever contribution to CSO Online looks at the shifting landscape, from perimeter-based security to API security, and how CISOs are responding.
My latest feature for The New Stack looks into solutions being proposed to fix open source Slopmageddon.
My latest DirectorPlus looks at how agentic AI is reshaping platform engineering at Squarespace: less shared code and more developer experience focus.
