Extensible DSLs with Tagless Final

LambdaLounge

DSLs are extremely powerful. However, they’re easy to get wrong. This talk will show the most common pitfalls, and how to avoid them.

As our first talk of 2022 at Lambda Lounge, we have Nicolas Rinaudo, CTO of Besedo, discussing how best to apply Scala when creating a domain-specific language.---Working with domain experts can be frustrating for all parties involved - it’s very hard for them to get the subtle nuances of their craft across, and aggravating for developers to constantly tweak and refine code to reflect ever evolving specifications.There is, fortunately, a solution: Domain Specific Languages, small, highly specialised languages that allow experts to write exactly what they mean, without needing to involve developers for each new tweak.These DSLs can be a lot of fun to use and write, but are also easy to get wrong. The purpose of this talk is to walk through a slightly simplified version of a language currently used in production to process millions of documents, show the most common problems that need to be solved, and offer reasonable, easy to understand solutions.At the end of the talk, attendants will have a solid understanding of how to design their own DSLs, and of the strengths of weaknesses of their standard encoding.---The event will be streamed live on youtube here - https://www.youtube.com/watch?v=LWNXsKuDJxw

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

Extensible DSLs with Tagless Final

Still looking for the right event?

Explore all online events to browse and filter by date, category, and more.

Extensible DSLs with Tagless Final

More Science & Tech events

Browse more Science & Tech events with different dates, prices, and formats to find your next great experience.

Still looking for the right event?

Explore all online events to browse and filter by date, category, and more.