As agentic AI systems gain the ability to autonomously plan, build, and deploy software, programming is fundamentally changing. The bottleneck is no longer implementation, it's specification. This article explores why documentation and specs are becoming more valuable than coding skills, how teams can adapt to orchestrating AI agents rather than writing code, and why the practices developers have traditionally avoided are now their path to remaining relevant.

Good software needs to be easy to maintain, easy to test and is easy to scale. I've collected a guidebook of principles and best practices for how we can accomplish this.

Increase productivity, save time and avoid losing work by following these simple Git workflows, principles and practical tips.

Too many work in progress items is bad for productivity. It delays delivery, feedback and return on investment.

What is an algorithm and which ones should you know about? What's a Big-O notation? This is the second step to writing better software and succeeding at technical interviews.

Solving engineering challenges efficiently require knowing your data needs. This is the first step to writing better software and succeeding at technical interviews.

How to improve your technical skills to be a better software developer and pass technical interviews.

This is a presentation I did on why (native) mobile development is important and what opportunitie and challenges it brings.

Writing is hard especially in a fast-moving industry.