Beyond Coding

The Metaverse. You might have heard of it, but what does it entail exactly? Jieke Pan explains that no one knows exactly, because we’re right at the forefront of it all. It will be a new digital experience and not really tangible. But within that digital space, we’ll be able to experience and deliver value in ways we couldn’t before. One example he gives is virtual concerts, which are already happening in the Metaverse. With that however come numerous amounts of technical challenges, some of which we discuss as well. More of the topics we cover this episode, in order 💬 ☑️ What is the metaverse, where did it come from? ☑️ Virtual concerts and business value ☑️ Data privacy and anonymity ☑️ How can there be one decentralised Metaverse? ☑️ Decoupled infrastructure and content layers More on Jieke Pan: https://linkedin.com/in/panjieke https://twitter.com/panjieke #metaverse #web3 #podcast

To delivery value through software, we’re solving complex problems. But getting a shared understanding of the problem space and the potential solutions can be very tricky. Marco Heimeshoff explains that’s where collaborative modelling can help. More of the topics we cover this episode, in order 💬 ☑️ Pros and cons of collaborative modelling remotely ☑️ The importance of psychological safety ☑️ Why do we model in the first place? ☑️ Approaching a problem through heuristics ☑️ Not just sharing, but collaborating Mentioned during the episode: https://DDDheuristics.com https://kandddinsky.de More on Marco Heimeshoff: https://www.heimeshoff.de https://twitter.com/heimeshoff https://linkedin.com/in/heimeshoff #collaborativemodelling #heuristics #podcast

Product development is challenging. Even more challenging when those responsible for the user experience barely talk to those responsible for the implementation, and vice-versa… That’s not how we create the best products. We do so by communicating continuously, having diverse teams and co-creating! I invited Thamar Swart and Simone de Gijt on to share their experience when it comes to collaboration and co-creation. More of the topics we cover this episode, in order 💬 ☑️ The challenges of keeping UX and Software Development separate ☑️ What is UX actually, what are the different facets? ☑️ Happy flows and edge cases ☑️ Fixing your customer issues ☑️ Leadership and team autonomy More on Thamar Swart: https://thamarswart.nl/ https://www.linkedin.com/in/thamarswart https://twitter.com/thamarswart More on Simone de Gijt: https://www.linkedin.com/in/simonedegijt https://mobile.twitter.com/de_gijt

I invited Michael Feathers on to discuss what makes a great and effective team in tech. We cover lots of the social systems you’ll see, as well as the impact that remote working has had on those. More of the topics we cover this episode, in order 💬 ☑️ Remote working and team autonomy ☑️ Treating software like biology ☑️ Finding common grounds of communication ☑️ Genuine curiosity ☑️ Team goals vs. Individual goals More on Michael Feathers: https://michaelfeathers.silvrback.com https://twitter.com/mfeathers https://www.linkedin.com/in/michaelfeathers

I invited Hannes de Jager, Kevin van den broek and Goos van den Bekerom on to discuss the ins and outs when it comes to the Go programming language. All you need to know with regards to why and how Go would be embraced within a team, or within an organisation. Sounds interesting? Check it out! Some of the topics we cover this episode, in order 👇 ☑️ The pros and cons of Go ☑️ How does Go get adopted within organisations? ☑️ The way Generics was introduced in Go ☑️ Hire good engineers instead of “language” engineers More on Hannes: https://www.linkedin.com/in/hannesdejager https://github.com/hannesdejager More on Kevin: https://kevinvandenbroek.nl https://www.linkedin.com/in/kevin-van-den-broek https://github.com/Kevintjeb More on Goos: https://www.linkedin.com/in/goosvandenbekerom https://github.com/GoosvandenBekerom

Diana Montalion shares how we think of, and design, sources of information to accommodate for what we want as users, depending on the context we’re in. It requires a way of thinking we’re not used to: systems thinking, or non-linear thinking. But doing so and adapting the software we create, can open up opportunities that weren’t there before. Some of the topics we cover this episode, in order 👇 ☑️ Systems thinking vs. Linear thinking ☑️ Designing for sources of information ☑️ Do you know why your tasks matter? ☑️ Changing the skills we value when hiring ☑️ Learning from each other, and growing as a team More on Diana:   https://www.montalion.com https://twitter.com/dianamontalion https://www.linkedin.com/in/dianamontalion  #systemsthinking #software #podcast

Whether you know it or not, we’re all benefitting from open source software. The innovation and collaboration that has come from it is incredible. But it’s not without flaws… Very Interesting ones actually, so I invited Paulo Lopes and Maarten Mulders on to discuss the good, bad, and ugly when it comes to open source. Some of the topics we cover this episode, in order 👇 ☑️ Disputes and social problems that occur in open source projects ☑️ Contributing to open source, and how to make it easier ☑️ What would make open source better? ☑️ The not invented here syndrome in open source projects Enjoy! Check out Paulo Lopes: https://www.linkedin.com/in/pmlopes https://twitter.com/pml0p35 Check out Maarten Mulders: https://www.linkedin.com/in/mthmulders https://twitter.com/mthmulders https://maarten.mulders.it #podcast #tech #opensource

Maarten shares how the city of Amsterdam is creating and leveraging AI solutions to help society and improve the city. It was surprising to hear how there are lots of experiments being done involving more state of the art technologies when it comes to AI. And I really enjoyed learning what projects are being worked on right now. What projects are those? Listen in to find out! Some of the topics we cover this episode, in order 👇 ☑️ Using AI to make the city better, or to prevent it from becoming worse ☑️ The Algorithm Register ☑️ Amsterdam for all: increasing accessibility in the city ☑️ Current ways of working and the challenge of moving to the cloud ☑️ Using established methods, but also experimenting with state of the art tech More on Maarten: https://www.linkedin.com/in/maartensukel https://twitter.com/maartensukel Check out Amsterdam Intelligence: https://www.amsterdamintelligence.com

“Doing the right thing is not equal to doing things right”. This really stuck with me after discussing how to create effective data science solutions with Deena Gergis. It would be easy to create a solution ‘just’ from the technical side, but more often than not, your solution might not get used at all that way. Partnering with your stakeholders, and building this solution together is the right way to do it. And it starts by having an equal level conversation with each other. Some of the topics we cover this episode, in order 👇 ☑️ The differences between data science academically, and data science professionally ☑️ Doing things right vs doing the right things ☑️ Buy-in from your most important stakeholders and partners ☑️ The right balance of focus and flexibility in creating data science solutions ☑️ Hiring for emotional intelligence and leadership skills, as well as technical expertise More on Deena: https://linkedin.com/in/deena-gergis https://www.youtube.com/c/deenagergis

Cloud technology has made things a lot easier, but it has also introduced new challenges for developers. Together with friend and returning guest Léon Rodenburg we discuss what cloud native software development entails, and share how to be effective. Some of the topics we cover this episode, in order 👇 ☑️ What is cloud native software development? ☑️ Team responsibility in handling the cloud ☑️ The problem with cloud courses and trainings ☑️ Iterating on your cloud infrastructure ☑️ Start by understanding your current project in terms of cloud infrastructure More on Léon: https://linkedin.com/in/leon-rodenburg https://twitter.com/lrodenburg