About

AI for Software Engineers is the developer newsletter that goes beyond AI and agentic engineering. It was originally my forcing function to stay current with what matters to build AI. Now, it helps tens of thousands of others do the same.

AI enables us to solve new problems, but to do so we must understand the technology we work with. AI for Software Engineers focuses on building an understanding across the full AI stack. You’ll find articles related to:

  • Machine learning and AI fundamentals

  • AI research

  • Applied AI

  • AI and ML Infrastructure

  • AI and ML engineering

Hi, I’m Logan 👋

I’m an ML infrastructure engineer at Google focusing on improving ML experimentation by developing infrastructure, agents, and developer tooling. I’ve previously worked in ML infra at Microsoft and in ML research roles. My background spans user experience, product, research, and engineering giving me a unique perspective to help you understand AI to its fullest.

Why you should sign up

AI has already fundamentally changed the way we build systems and solve problems. By understanding AI and staying at the cutting edge, you can multiply the impact you have and the scale of problems you can solve.

Join 12,000+ other engineers learning the full AI stack!

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Become a paid member and support AI for Software Engineers for just $5/mo. You’ll get extra articles where I share a deeper perspective and my personal workflows, be part of free giveaways, and get discounts on learning resources (coming soon!).

Need further convincing?

Here’s what other AI authors and subscribers say about AI for Software Engineers:

  • “Logan is a long-time ML engineer that does an awesome job of explaining the intersection of ML/engineering (and beyond) in a digestible manner.” - Cameron R. Wolfe, Ph.D., Author of Deep (Learning) Focus

  • “Logan from [AI for Software Engineers] is doing an amazing job demystifying machine learning!” - Sahar Mor, Author of AI Tidbits

  • “A solid mix of AI news and ML engineering insights, written by an ML engineer at Google.” - MLOps Community

  • “Some of the most insightful AI perspectives and technical expertise from a prominent Google data scientist. (Though the Spider-Man shirt? Still on the fence about that one. 🤷)” - Sergei Polevikov, Author of AI Health Uncut

  • “Accessible tech deep drives and commentary from a smart Google ML engineer. It’s often important to get under the hood for newer concepts in AI, and this newsletter helps with that.” - James Wang, Author of Weighty Thoughts

To get started now, check out my top articles on the home page.

If you’d like to contact me, I’m best reached via email.

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Breaking down the systems, infrastructure, and engineering that make AI work in production.

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