Neo Kim
System design educator; posts actionable breakdowns on scaling, load balancing, deployment, and platform/architecture strategy for leaders.
Essential Books to Become a 10x AI Engineer
10 Books that will make you a 10x AI engineer: 1 Building LLMs for Production 2 AI Engineering 3 Designing Machine Learning Systems 4 Build a Large Language Model 5 Designing Data-Intensive Applications 6 LLM Engineer's Handbook 7 Deep Learning 8 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 9 Prompt Engineering for LLMs 10 Introduction to Statistical Learning What else should make this list?
Master AI Engineering in 3 Weeks: 15 Essential Concepts
If you want to become good at AI engineering (in 3 weeks), then learn these 15 concepts:
12 Must-Read Books to Become a World-Class Engineer
If you want to become a world-class software engineer (in 2026), then read these 12 books:
Scale Gradually: Start Simple, Add Complexity When Needed
Step-1: Use a static web framework to save costs Step-2: Run entire website on a single virtual machine for simplicity Step-3: Split backend & database into separate virtual machines Step-4: Add more availability zones to improve resilience Step-5: Use serverless for infrequent workloads Step-6: Keep...
Read These 12 Must‑Read Books to Become Top Engineer
The software engineering community (HN, Reddit, ACM) recommends these 12 books for serious engineers. List includes Designing Data-Intensive Applications, Clean Code, Mythical Man-Month. You may be a top 1% engineer if you've read & implemented the ideas. What else would you add...
Precise Prompts, Better LLM Results: 12 Techniques
STOP GIVING VAGUE PROMPTS TO LLM. Bad prompts = Bad results. Use these 12 prompting techniques instead & see the magic:
Scale to 1M Users: Simplicity Over Over‑Engineering
If I had to scale an app from 0 to 1 million users, here's what I'd do (step by step): There are different ways to scale & this is just one of them. The best solution & numbers will depend on your needs. Keep...
LLMs: Smart Autocomplete Predicting Probabilities, Not Facts
How LLM works explained in 2 mins or less: Large Language Models (LLMs) are like smart autocomplete. They make predictions based on the massive data they got trained on. It doesn't know facts, but predicts probabilities. Here's how it works:
Master System Design with 15 Essential Case Studies
If you want to become good at system design, learn these 15 case studies (save this now):