AI needs more software engineers.
Making AI useful and accessible in the real world is a complex engineering problem. AI for Software Engineers exists to get more engineers involved in solving it.
Hi, I’m Logan 👋
I currently build autonomous machine learning agents at Google. My previous work spans ML infra, AI research, and ML UX. I use that experience to help software engineers understand the engineering behind AI.
What subscribers get
Curated weekly distillations — the signal that actually matters for engineers
Technical explainers on the engineering behind AI
Practical resources, offers, and opportunities to go deeper
How to get the most out of AI for Software Engineers
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Get started with the AI Foundations Guide for Software Engineers or the top posts.
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Testimonials
Here’s what others are saying about AI for Software Engineers:
Cameron R. Wolfe, Ph.D., Author of Deep (Learning) Focus:
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.
Sahar Mor, Author of AI Tidbits:
Logan from [AI for Software Engineers] is doing an amazing job demystifying machine learning!
A solid mix of AI news and ML engineering insights, written by an ML engineer at Google.
James Wang, Author of Weighty Thoughts:
Accessible tech deep dives 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.
