Wednesday
Room 3
17:40 - 18:40
(UTC+02)
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 is a dev lead and developer at Norkart. He likes expressive code that he can trust to work as expected, drawing inspiration from domain-driven design and functional programming. At work he gets to deep dive into tax calculations and geospatial problems while writing functional F# code for a living. He tries to be a morning person every December for the annual Advent of Code.