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What You Need to Master (And Avoid) to Build Fast, Reliable, and Scalable APIs
#165: Nine Tips for High-Performance APIs
Jul 29
•
Neo Kim
28
5
I struggled with "microservices" until I learned these 22 patterns
#164: A field guide to splitting systems, keeping data correct, and surviving failure in production
Jul 23
•
Neo Kim
83
12
What Happens When Your Coding Agent Actually Knows Your Architecture?
#163: How I turned NotebookLM into a grounded knowledge layer for PR reviews, design reviews, debugging, and onboarding
Jul 20
•
Neo Kim
and
Gencay
37
8
How to Build a Domain Expert AI
#162: Part 4 - Generative AI Masterclass
Jul 17
•
Louis-François Bouchard
and
Neo Kim
51
5
Kubernetes - A Deep Dive
#161: Part 3 - DevOps Mastermind
Jul 13
•
Neo Kim
and
Ayaan
82
12
How to use AI agents better than 99% of people
#160: A full guide to graph shaped memory for AI agents
Jul 7
•
Neo Kim
91
2
20
Content Delivery Network (CDN) - A Deep Dive
#159: A clear introduction to CDNs and their core concepts
Jul 2
•
Neo Kim
28
4
June 2026
A2A Protocol - Deep Dive
#158: How AI agents collaborate to solve complex tasks
Jun 26
•
Eric Roby
and
Neo Kim
71
13
You Won’t Use Claude The Same Way After Understanding This Folder
#157: A map of every file inside, and why it controls what Claude does before you type a word
Jun 24
•
Ilia Karelin
and
Neo Kim
69
1
11
mobile system design was HARD until I learned these 53 concepts
#156: Part 3 - Modular Architecture, Feature Flags, Staged Rollouts, and 11 others.
Jun 22
•
Shefali Jangid
and
Neo Kim
38
2
9
The Secret Architecture Behind AI Data Centers
#155: Why AI breakthroughs are really infrastructure breakthroughs
Jun 19
•
Neo Kim
and
Ashish
51
2
11
30 Core Agentic Engineering Concepts, Explained Simply
#154: What an agent is, how to configure one, when to use multiple, and how to keep them from doing damage.
Jun 17
•
Neo Kim
and
Paul Hoekstra
243
4
58
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