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API testing was “hard” until I learned these 53 techniques
#175: Part 2 - fuzz testing, penetration testing, injection attack testing, and 25 others.
Sep 7
•
Neo Kim
45
6
50 shades of system design
#174: tradeoffs behind designing scalable, reliable systems
Sep 3
•
Neo Kim
70
4
13
August 2026
I struggled with “API testing” until I learned these 53 techniques
#173: Part 1 - smoke testing, functional testing, unit testing, and 22 others.
Aug 31
•
Neo Kim
70
15
How CI/CD Works - A Deep Dive
#172: Part 4 - DevOps Mastermind
Aug 28
•
Ayaan
and
Neo Kim
127
21
Fine Tuning: A Deep Dive
#171: The Fine-Tuning Guide That Will Change How You Build With LLMs
Aug 24
•
Neo Kim
and
Dimple Sharma
25
3
How to Build AI Agents That Don’t Start Over When They Fail
#170: The Infrastructure AI Agents Actually Need
Aug 20
•
Neo Kim
58
3
8
Prompt Engineering - A Deep Dive
#169: From Tokens to Production-Ready AI Systems
Aug 14
•
Neo Kim
and
Tina Sharma
39
7
How to Build an AI Research Agent
#168: Part 5 - Generative AI Masterclass
Aug 10
•
Louis-François Bouchard
and
Neo Kim
47
12
10 System Design Solutions Explained in 15 Minutes
#167: A practical guide to common system design challenges
Aug 5
•
Neo Kim
60
10
Vertical Small LLMs: A Deep Dive
#166: How a fine-tuned 3-billion-parameter model beats today’s frontier models at one job, and how to build one this weekend
Aug 3
•
Neo Kim
and
KUKESHAJANTH KODESWARAN
43
4
July 2026
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
35
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
97
13
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