Learn AI Engineering
Pick a path and track your progress as you go.
LLM Fundamentals
Understand how large language models work, from tokenization to context windows to hallucination.
Get Insanely Good at AI
How to Work Smarter, Build Faster, and Think Better with AI
The understanding that lets you pick up any AI tool, current or future, and use it well.
Get the BookPrompt Engineering
Master system prompts, few-shot techniques, chain of thought reasoning, and structured output.
RAG & Retrieval
Build retrieval-augmented generation systems with embeddings, vector databases, and context engineering.
AI Agents
Build agents with tool use, memory, multi-agent orchestration, and evaluation frameworks.
Production AI
Ship AI to production with cost optimization, observability, streaming, and tool integration.
AI-Assisted Coding
Level up your dev workflow with AI coding assistants, agent skills, and practical techniques.
Roadmap
AI Engineer Roadmap 2026: Skills, Tools, and Career Path
Perspectives
How AI is changing the way developers work, learn, and think about their careers.
AI Didn't Make Expertise Optional. It Made It More Valuable
The narrative that AI replaces the need for deep skills is backwards. AI amplifies what you already have. If that's depth, you win. If it's not, you're just building problems faster.
Read → ai engineeringWhy Local AI Belongs in Your Personal Tech Stack
Cloud AI access is conditional. A local model gives you a private, offline capability that remains available when networks and providers fail.
Read → prompt engineeringWhy Prompting Isn't About Magic Words
Prompt cheat sheets and frameworks miss the point. The skill behind good prompting is clear thinking, not secret syntax.
Read → ai codingStop Over-Planning, Start Building: How AI Changed the Cost of Being Wrong
AI collapsed the cost of building software. That changes how you should think about planning, prototyping, and experimentation.
Read → careerYour Experience Is Your Biggest AI Advantage
When AI output looks professional by default, spotting what's actually right becomes the scarce skill. That skill comes from experience.
Read → careerWhy Most AI Advice Is Terrible
Most AI advice falls into hype or fear. Neither helps. What actually matters: understanding the mechanics, building real skills, and thinking for yourself.
Read → ai codingThe AI Coding Workflow That Actually Works
The practical coding workflow with AI: what to hand the model, what to review line by line, and when to throw the output away.
Read →In-Depth Guides
Long-form references that go deep on a single topic. Read them standalone, alongside a learning path, or as a supplement to the book.
What Is an AI Engineer? The Role Reshaping Tech in 2026
AI engineers build production AI systems, not train models. Here's what the role involves, how it differs from ML engineers and data scientists, and what you need to break in.
How Large Language Models Work
A practical, math-free guide to how LLMs work. Tokenization, embeddings, transformer processing, and next-token prediction. Learn why prompts matter, context windows exist, and models hallucinate.
Getting Started with Prompting
A practical guide to writing prompts that get better results. Learn the fundamentals of prompt engineering.
AI Engineer Roadmap 2026: Skills, Tools, and Career Path
A complete roadmap for becoming an AI engineer in 2026. From Python fundamentals to production AI systems, here are the skills, tools, and frameworks you need at each stage.