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PiniShv | AI, DevOps & Engineering Leadership
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About

Pini Shvartsman
Author
Pini Shvartsman
I lead DevOps and Innovation for a global SaaS platform, guiding 100+ engineers through the AI era. I put AI agents on the org chart with real roles, KPIs, and accountability. Before that: employee #5, built the CI/CD, the infrastructure, the offshore team, all of it. I write the production-grounded takes most AI coverage is too polite to publish.
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Pini Shvartsman
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I lead DevOps and Innovation for a global SaaS platform. 100+ engineers. AWS infrastructure, CI/CD, MLOps, production operations. AI agents on the actual org chart, with KPIs and real accountability.

This blog is where I write what I learn doing it.

What I actually do
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Most people writing about AI in engineering are either selling something, demoing something, or watching from the sidelines. I’m running the experiment live. Every post here comes out of:

  • Running a production engineering org where agents ship alongside humans, with real incidents and real budgets
  • Designing review gates, governance, and learning paths that survive AI speed
  • Teaching senior engineers how to stay senior when the agent writes the first 80%
  • Building cross-continent teams, AI-integrated workflows, and the boring infrastructure that keeps all of it from exploding

If a post here ends in a confident opinion, it’s because the opposite failed on my watch.

How I got here
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I’ve been taking things apart since I was eight. Electronics on my bedroom floor, things my parents probably wanted back in one piece. By my teens I was deep in IRC channels, writing scripts, hustling into communities that didn’t care how old you were as long as you could keep up.

I’ve been in tech professionally since 22. IT support, NOC engineering, freelance dev, full-stack, automation, DevOps, architecture, management. I didn’t plan a career path. I just kept saying yes to whatever scared me most.

The decade-long bet was joining a startup as employee #5. No DevOps. No infrastructure. Barely a product. I built it all. The test framework, the CI/CD, the first deployment pipeline, the first monitoring. When we needed an offshore team, I flew to Ukraine, hired the people, made it work across timezones. When AI agents became viable, I put them on the org chart.

That startup is now the global SaaS platform where I lead DevOps and Innovation today.

Why read me
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Four things you’ll get here, consistently:

  • Production-grounded takes. If it doesn’t survive contact with a real codebase, a real team, or a real incident at 2 AM, I’m not interested.
  • Data behind the opinions. I cite the studies, show the numbers, link the sources. You can argue with me from the same evidence.
  • The uncomfortable calls. I’ll say the thing most AI coverage dodges. Some of it will annoy people. That’s usually a sign it needed saying.
  • Written by a human. No AI filler. No “in today’s rapidly evolving landscape.” Just how I’d explain it to another engineer over coffee.

Who this is for
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Engineering leaders. Senior engineers. DevOps and platform folks. Founders running technical orgs. Anyone shipping AI in production, not just talking about it.

If you’re running a real org, writing real code, or deciding real budgets in the AI era, we’ll get along.

If you’re looking for prompt tips, bootcamp recommendations, or feel-good AI takes, this isn’t the place. That’s not a shot at anyone. It’s just not what I do.