Tag: engineering leadership

You’re Poking the Dinosaur Through the Bars. Here’s What AI Looks Like for Those Who Aren’t Afraid

The debate about what percentage of code AI should write is a conversation for the frightened. The real shift is an autonomous, continuous Agentic SDLC — and it’s closer than you think.

You're afraid to use AI for real.

You write code with it, you build products with it, but in your mindset you're still a Siberian lumberjack who just got handed a Japanese chainsaw. You took a tool from another era and you're sawing the exact same log with the exact same motion you used with an axe. Different tool, same head.

You're poking a dinosaur through the bars at the zoo, staying at a safe distance. Wow, it can do that too — who would've thought. You look, you marvel, you walk away to argue about what percentage of your codebase was written by a neural network.

Continue reading “You’re Poking the Dinosaur Through the Bars. Here’s What AI Looks Like for Those Who Aren’t Afraid”

«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.

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

Hiring Is Buying Delivery Leaders, Not Another AI Engineer

A one-day vacancy-intel slice: the market is buying EM/Head/CTO roles for platform and production AI — not IC seats with LLM keywords. How to read mandate, AI maturity, and founding/plant noise.

Hype counts how often “AI” appears in job descriptions. I count the mandate: who is being bought at the leadership layer, which pain the hire is meant to close, and where the feed inflates volume.

Continue reading “Hiring Is Buying Delivery Leaders, Not Another AI Engineer”