One thing I've noticed while working with AI tools is that they struggle with many of the same things...
AI tools expose technical debt—struggling with ambiguity and undocumented rules teams previously solved through conversation. For tech leaders, AI becomes the forcing function: clean code, explicit requirements, and documentation shift from optional to critical.
One thing I've noticed while working with AI tools is that they struggle with many of the same things junior engineers struggle with.
Not algorithms, and syntax, nor frameworks.
They struggle with ambiguity.
Give an AI vague requirements and you'll get vague results.
Point it at a codebase with inconsistent abstractions and it will make incorrect assumptions.
TL;DR — AI repeats your patterns badly, ignores existing services, and forgets every cross-session...
Over the past two decades, technical debt meant outdated architecture, messy code, and poorly maintained documentation. That…
I started noticing this while building a real frontend/backend system with AI assistance. The...
Introduction I want to tell you about a feeling I kept having at work. Our team was...
Every cleanup process you have was designed for human-speed mess-making. AI agents just have a “hit...
Stop shipping code you can't explain. TL;DR: Merging code you don't understand creates...
