Room 3 

17:40 - 18:40 


Talk (60 min)

Tackling property data with readable code

A lot of our team’s day is spent reasoning about property data and municipal workflows. That’s why it is vital for us to present the real-world rules influencing our system as clearly as possible when writing code.


Our focus on readability has made it easier to maintain and extend our code base while modeling a complex domain.

This talk gives insight into how we have applied domain modeling with F# at Norkart, a Norwegian technology company specialized in spatial and property data. We’ll look at practical examples of how we’ve used Event Sourcing, pattern matching and different testing strategies to achieve correctness and readability in a complex, real world application with high quality standards.

Lars Furu Kjelsaas

Lars Furu Kjelsaas is a developer and manager at Norkart, working on logic related to spatial and property data.

Having coded in F# for his entire professional career in a company where many people don't, he has experience presenting functional concepts in a digestible manner and writing code that is readable to most.

He's an avid board gamer, and spends most of December trying to be a morning person for Advent of Code.