Blog

Thoughts on AI-native Software Engineering, productivity, and building great products.

Where does your organization really stand on AI?

AI Adoption Maturity Assessment – eight dimensions, five maturity levels

Eight questions, two minutes, one honest answer: where does your organization stand on AI? The AI Maturity Assessment shows it, live, no marketing filter.

I don't trust any AI agent

STDD Loop: Spec first, OK Point (human and/or agent), tests first, Audit Trail, Guardrails – comic

I don't trust any AI agent. Yet one just built an entire feature set, almost without my hands on the keyboard, because every step leaves an audit trail.

20X – Why I'm So Insanely Productive with AI

20X – comic: Mischa on the bicycle, Technology Leap × Learning Leap × Acceleration

For fifteen years I didn't build software myself. Being 20X more productive isn't magic, it's a multiplication of Technology Leap, Learning Leap, Acceleration.

I am addicted

I am addicted – comic

Hi, my name is Mischa. And I'm addicted to AI-native software engineering. How to live with that addiction, and where it gets dangerous.

Agile is too rigid for AI-native

Agile was my second professional love – comic

Agile was my second professional love. Today I say goodbye. For over ten years I lived and taught Agile, but it no longer fits AI-native work.

AI ate Agile for Breakfast

AI eats Agile for Breakfast – talk comic

A decade after stepping back from the Agile community, I wanted to speak up with a bold thesis: AI eats Agile for Breakfast. Its cancellation proved the thesis.

The right entry into AI-native Software Engineering

Build one real system, then decide how to scale – the Beacon reference system

Whether the shift to AI-native software engineering succeeds depends on what developers and leadership conclude for roles, structures, and processes.

Why introducing AI fails

Why simple AI introductions fail – the rollout gap

The problem is the entry point: instead of building, organizations explain. AI introductions start on paper. AI only works where software is built.

AI makes coding easier. Software engineering gets harder.

AI makes coding easier – software engineering gets harder

AI lowers the barrier to writing code, yet software engineering gets harder: leadership becomes the real work. Being able to code well is no longer enough.

Stagnation doesn’t come from doubt, but from responsibility

Stagnation from responsibility – the safer way into AI-native software engineering

AI has arrived in software engineering. Yet little is happening in many organizations. Many leaders hesitate, not from skepticism, but responsibility.