AI Engineer Weekly is a practical newsletter for people who want to get better at building with AI.
There’s no shortage of AI content right now. Most of it is noisy, repetitive, or disconnected from what actually helps people improve.
Instead, every week, we’ll focus on the applied side of AI:
projects worth building
repos worth studying
research translated into plain English
system design ideas that matter
career insights for people growing in AI
The goal is not to keep up with every headline.
The goal is to help you become more capable.
That means learning how applied AI systems work, what tools and patterns matter, what to build, and where the field is actually going.
You can expect issues around topics like:
agentic workflows
retrieval and search
evaluation and reliability
practical AI product design
open-source tools and repos
what strong AI teams are doing
how to grow a serious career in AI
This newsletter is for students, engineers, researchers, founders, and career switchers who want to build real skill.
Over the next few weeks, I’ll be covering:
practical AI projects worth building
GitHub repos that teach useful patterns
research ideas you can actually apply
signals from the AI job market
the systems thinking behind good applied AI work
Thanks for being here at the beginning.
If you’re reading this, reply and tell me:
What are you trying to get better at in AI right now and what is missing?