Time to put another new #programming language - and its creator - under the spotlight, as we talk to Robin Heggelund Hansen, the creator of Gren. Gren is a Norwegian word meaning 'branch', which is appropriate for a language that started as a fork from its roots in Elm.

With Gren, Robin's trying to create a safe, sane, #fullstack language that puts the power and elegance of functional programming working seamlessly on the server and the browser. But how and why do you do that? What design choices to do make, how much time do you spend on adding new features vs. improving the developer's experience of the existing ones? And most importantly...how do you pronounce Gren correctly? 😅

Gren Website: https://gren-lang.org
Gren Zulip: https://gren.zulipchat.com/
Gren package site: https://packages.gren-lang.org/
Example projects written in Gren: https://github.com/gren-lang/example-projects
Gren on Mastodon: https://fosstodon.org/@gren_lang
Gren on Twitter: https://twitter.com/gren_lang
Gren language proposal on parameterized modules: https://github.com/gren-lang/compiler/issues/81
Elm Website: https://elm-lang.org/  

Robin on Mastodon: https://snabelen.no/@robinheghan
Kris on Twitter: https://twitter.com/krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
Kris on Mastodon: https://mastodon.social/@krisajenkins

What's going on with Postgres? Joining us for his perspective is Raouf Chebri, a Developer Advocate for PostgreSQL and the cloud service Neon. We catch up on what's new and important in recent versions of Postgres, what Neon have been doing to make Postgres work well in the Cloud, and what Raouf's life is like as a professional singer of Postgres's virtues.

Neon: https://neon.tech/
Neon’s architecture: https://neon.tech/docs/introduction/architecture-overview
That CEO quote: https://twitter.com/nikitabase/status/1563913187862335489
Raouf on Twitter: https://twitter.com/raoufdevrel
Kris on Twitter: https://twitter.com/krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Are you trying to build the community around your software? And what does “building a community” really mean? What are we building communities for?

Join us on Developer Voices as host Kris Jenkins sits down with Ale Murray, a seasoned community manager with nearly a decade of experience, to discuss her tips for building a thriving tech community. 

Ale shares her insights on why community building is essential, how to identify your target audience, and how to approach community building with the right mindset. She also offers practical advice on how to handle challenging situations, such as dealing with negative feedback and managing conflicts within the community. 

Whether you're just starting out or looking to improve your existing community, this conversation offers valuable insights and actionable tips to help you succeed.

Ale on Twitter: https://twitter.com/ale_amurray
Kris on Twitter: https://twitter.com/krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins
Kris on Mastodon: https://mastodon.social/@krisajenkins

As a developer, it's crucial to understand the various types of databases available so you can choose the right tool for the job. In this episode, we're shining a spotlight on bitemporal databases with James Henderson, lead developer of of a new bitemporal database called XTDB.

You may have already created an ad-hoc bitemporal database without realizing it, but James and his team have been hard at work building a custom database that's tailor-made for situations where having two notions of time are essential. Join us to learn about the what and why of bitemporality and explore the process of designing and building a database in Clojure.

Ready to get started with XTDB? Visit https://www.xtdb.com/v2 to learn more.
Want to get involved with the XTDB community? Head over to https://discuss.xtdb.com.
Follow XTDB on Twitter at https://twitter.com/xtdb_com
 and Kris Jenkins at https://twitter.com/krisajenkins.
Connect with Kris on LinkedIn at https://www.linkedin.com/in/krisjenkins/.

Every business deals in data, but the internet age has ushered in an explosion of the number of different data formats we have to process from a number of different databases to get the job done. Ask any Data Scientist, and they’ll tell you a huge part of their job isn’t data science - it’s data engineering. Acquiring, processing and shipping data, and above all, understanding it. We’ve always had that task in the IT world, but these days it’s a whole discipline.

Today’s podcast sits down with the author of “The Fundamentals Of Data Engineering” to survey the landscape. To understand what data engineering is, and go deep into what a data engineer needs to understand to succeed.

In this episode we're exploring the Kotlin programming language with an expert from Google. What does Kotlin have to offer? Is it just a Java alternative, or has it turned into something much more ambitious? Along the way we manage to discuss Scala, Function Programming vs. Object Orientation, Editors, Higher Kinded Types, Elm, React, UI architectures and multiplatform programming. A very full episode!

Happy Path Programming - Haskell is not as scary as you think: https://pod.link/1531666706/episode/710a605d605fda251f2e83b8858615b8
The Kotlin Programming Language: https://kotlinlang.org/
Android Studio: https://developer.android.com/studio
Kris on Twitter: https://twitter.com/krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

AI is the new hotness, but with new approaches come new problems of scale. How do you make raw data accessible to teams of data scientists and model-builders? How do build a repeatable deployment pipeline? And how do you monitor your models once they're in production? Today's episode goes through all these reality checks with author and expert Adi Polak, who's just released a new book on the subject.

Scaling Machine Learning With Spark (book): https://www.oreilly.com/library/view/scaling-machine-learning/9781098106812/
Kris on Twitter: https://twitter.com/krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Louis Pilfold joins us to talk about Gleam, a new language that runs on Erlang's BEAM. In creating Gleam, Louis has tried to bring a new level of developer-friendliness to Erlang's famously fault-tolerant platform.

If you're interested in building reliable distributed systems, exploring functional programming, learning new languages or finding out what it takes to design your own language, Louis is here to talk us through it all.

The Gleam language: https://gleam.run/
Gleam’s package repo: https://packages.gleam.run/
Gleam on Twitter: https://twitter.com/gleamlang
Kris on Twitter: https://twitter.com/krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/