A living book

AI-Native Engineering Organizations

Name: AI-Native Engineering Organizations
Author: Fiodar Ryzhykau

Designing teams, systems, leadership, and learning in the AI era.

Start reading Book at a glance

32 chapters · About 3 hours

Fiodar welcomes readers to an open book unfolding into a connected engineering campus of teams, libraries, and workshops.

From the author

This book did not begin as a book. It grew from a series of articles, practical experiments, and recurring questions about what changes when AI becomes part of the software development lifecycle. Over time, the ideas started connecting into something larger: an operating model for AI-native engineering organizations.

The industry is still developing its next generation of practices. Some approaches will mature into conventions. Others will need to be corrected, refined, or replaced as teams gain more evidence. That is why this is a living book rather than a finished declaration. Publication dates, update dates, and chapter versions make that evolution visible.

I will do my best to keep it current as the technology, evidence, and practice mature. My hope is that it helps people, startups, and enterprises adopt these changes more predictably, avoid some unnecessary friction, and reach the next level with a smoother path than they might otherwise have had.

Fiodar Ryzhykau Author and practitioner

Foundations

What actually changes when AI enters software engineering?

Communication

How do teams coordinate when execution outruns the calendar?

III

Knowledge

Where does organizational knowledge live, and who governs it?

Learning

How do engineers still learn when agents do the routine work?

Leadership

What does each leadership layer design in an AI-native org?

Execution

How does work actually get built with agents in the loop?

VII

Organizations

How do you design an organization that continuously learns?

VIII

Future

What is still unresolved, and where is this heading?