AI has changed software engineering forever.
Less code is being written, but more software is being produced. Software engineers are now expected to create non-deterministic systems that function in production. Weāre expected to use AI to write code and be more productive than ever. The systems weāre building and the tooling we use have shifted dramatically.
AI for Software Engineers makes this shift easier. I write technical deep dives, share curated reading recommendations, and explain the fundamentals you need to build reliable AI systems. This newsletter covers:
Technical deep dives (ML fundamentals, ML engineering, AI engineering)
Weekly reading lists and current events
Developer tooling and hands-on guides
Paid subscribers get even more benefits:
Career strategy for engineers in AI
Extended reading lists
Discounts on learning resources and tools
I work on Googleās Ads ML Platform where I focus on automating the machine learning experimentation process. I build AI agents, ML infra, and observability tooling that let researchers experiment faster.
Before Google, I built ML pipeline infra at Microsoft and researched deep learning applied to medical imaging. I use what Iāve learned (and what Iām continually learning) across this work to connect the dots for you.
You can find more about me here. Subscribe below.
Need further convincing?
Hereās what subscribers say about AI for Software Engineers:
āLogan is a long-time ML engineer that does an awesome job of explaining the intersection of ML/engineering (and beyond) in a digestible manner.ā - Cameron R. Wolfe, Ph.D., Deep (Learning) Focus
āLogan from [AI for Software Engineers] is doing an amazing job demystifying machine learning!ā - Sahar Mor, AI Tidbits
āI never miss an issue. A great source of information, tools and updates.ā - Riccardo Vocca, The Intelligent Friend
āA solid mix of AI news and ML engineering insights, written by an ML engineer at Google.ā - MLOps Community
āSome 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. š¤·)ā - Sergei Polevikov, AI Health Uncut
And more:
Articles to get started
If you want get started reading now, here are my most impactful articles:
![[Revised] You Donāt Need to Spend $100/mo on Claude Code: Your Guide to Local Coding Models](https://substackcdn.com/image/fetch/$s_!fARn!,w_140,h_140,c_fill,f_webp,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fb194c53f-7b2b-4f74-942b-5cf1c59b32aa_1920x1080.jpeg)
Other resources
Iāve also written a streamlined road map to learn ML fundamentals for free and Iām building up a repository of hands-on ML and AI learning resources to specifically work in tandem with this newsletter.
If newsletters arenāt your thing, I totally understand! You can also treat AI for Software Engineers as a blog and find me on your favorite social platform:
We also have a community Chat here on Substack for subscribers.
Never hesitate to reach out. Iād love to chat. š
Always be (machine) learning,
Logan
