June 23, 2026
Too Many Cooks, Now With AI
Who Does What? Team Topologies for the Agentic Platform
AI’s big teamwork plan met a brutal comment-section reality check
TLDR: The article says AI-driven software work needs clearer team roles because machines move too fast for one human to manage alone. Commenters weren’t sold: some called it overhyped, overcomplicated, and poorly explained, while others joked the real fix is just making better software in the first place.
A grand new vision for how companies should build software with AI helpers has landed — and wow, the crowd was not quietly nodding along. The article argues that AI changes work so fast that one person can get overwhelmed, so companies need a better setup: a central platform handles the boring, risky stuff, while other teams focus on the business side. In plain English, it’s a blueprint for deciding who does what when AI is writing, testing, and shipping code at high speed.
But in the comments, readers treated this like a glossy pitch deck that wandered into a roast battle. One early reply gave the piece a polite thumbs-up for admitting software work is genuinely complicated. After that? The knives came out. One commenter wondered if the industry should maybe stop inventing fancy AI workflows and simply spend “a year or two” making good software so future AI learns from better examples. Another compared the whole trend to overpriced restaurants made famous by influencers — pretty branding, lots of hype, questionable substance. Ouch.
The harshest drag was about the writing itself. Critics said the post buried simple ideas under a mountain of named concepts, with one reader basically accusing it of turning every paragraph into a jargon piñata. And when the article claimed software used to pass neatly from designer to architect to tester to deployer, another commenter fired back: “What? That’s not my experience at all.” Translation: the biggest drama wasn’t the AI plan — it was whether the author was describing real life or tech fan fiction.
Key Points
- •The article shifts from defining what an agentic platform must provide to examining who should build and operate it.
- •It says agent-based software production compresses complexity onto the human directing the agent, creating both anticipation and throughput burdens.
- •The article argues that an agentic platform reduces this load by exposing guidance to agents and enforcing deterministic controls downstream.
- •Team Topologies is presented as the organizational model for distributing cognitive load across teams and interactions.
- •The article concludes that developers will increasingly focus on building the platform, while business teams will use agents to participate more directly in application production.