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RedMonk

Infrastructure Frontiers: AI News for Infrastructure Engineers Dev Propulsion Labs podcast with Dr. Kate Holterhoff Kubernetes Without the Chaos Move faster, ship safer: RedMonk’s analysis on how leading engineering teams use agentic AI Spec driven development in the evolving tech landscape Performance Insights Beyond P99: Tales from the Long Tail Why You Can’t Build AI Without Progressive Delivery E. 290 | Rachel Stephens on Day Two DevOps A New Take on the Terminal with Zach Lloyd From Light Bulbs to Large Language Models: Jamie Dobson on Technology’s Relay Race Through History Ep. 35 | Decoding Developer Trends: Inside the Life of a Developer-Focused Analyst with Kate Holterhoff by Overcommitted Alex Russell on PWAs, App Stores, and Mobile Performance Jago Macleod, Gari Singh, Google & Kate Holterhoff, RedMonk | KubeCon + CloudNativeCon NA 2025 A RedMonk Conversation: Java at 30 with Sharat Chander
What Happens When Every Developer Has 20 AI Agents?
Lily Townsen · 2026-07-15 · via RedMonk

In this episode, we’re joined by Stephen O’Grady, Co-Founder and Principal Analyst at RedMonk, to explore one of the biggest shifts happening in software engineering: AI is making code dramatically cheaper to produce, but everything downstream is becoming the new bottleneck. We discuss why SaaS isn’t dead despite the hype, the explosive rise of MCP, why AI agents are overwhelming developer infrastructure, and what happens when every engineer suddenly has dozens of AI developers working alongside them. Stephen explains how package managers, code reviews, security, governance, and enterprise systems are all struggling to keep pace with AI-generated software. Along the way, we dive into AI coding tools, MCP adoption, developer productivity, infrastructure scaling, enterprise software, open source, package repositories, governance, and why the hardest problems in software may no longer be writing code—but managing everything that comes after.

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