Tag: devops

«AI Writes Code, but a Human Still Has to Run the Project» — No. The Entire SDLC Runs on Agents Now

Requirements, planning, infra, CI/CD, tests, monitoring — every step of the cycle, pinned to a specific tool and a production case. No human in the loop required.

I read this opinion ten times a week. Okay, the argument goes, AI can write code — fine. But to actually run a project, you need a human: talk to stakeholders, write a plan, set tasks for that same AI, configure infrastructure, Git, servers, monitoring. And surely no one is replacing the human there!

My eyes roll back every time. What?

Let me walk through the entire cycle. Step by step. At every step, I will show you not a fantasy, but a specific practice with a tool underneath it — because I have already run this cycle hands-on.

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Building on Blocks Network — a hands-on field report on the “Internet of Agents”

Two agents, one live agent-to-agent call, and an honest engineering read for developers, DevOps, analysts and security teams.

Every team I work with is suddenly shipping AI agents. The agents are the easy part. The hard part — the part I spent years solving for ordinary services — is the layer underneath: how does an agent built by one team get discovered, called, and governed by another, without everyone rebuilding the same plumbing and without security signing off on a free-for-all?

Blocks Network (from PubNub) pitches itself as exactly that substrate — a network for agent-to-agent communication with routing, discovery, presence and an economy layer. So instead of reading the marketing, I built on it. This is a field report from taking it from npm install to a live two-agent call, written for the four people who actually have to approve this kind of thing: the developer, the DevOps/platform engineer, the analyst/architect, and the security reviewer.

Everything below is what I observed on the real platform on a Linux box (Node v20.19.5, Blocks CLI 1.0.24). Where I couldn't verify something, I say so.

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