Hanselminutes - Fresh Talk and Tech for Developers

Matt Phillips didn't just creating a brand-new Sega Megadrive/Genesis Game in 2018 called Tanglewood. He did it using the original dev kit, computers, and software from 1995. You can experience Tanglewood today and buy it with a proper cartridge, box, and manual!

Scott digs into the SAFE Stack with Krzysztof Cielak. SAFE is an end-to-end, functional-first stack for cloud-ready web development that emphasizes type-safe programming. Is this your next programming paradigm?

Scott talks to Cecil Phillip about how cloud architecture is changing everything. But what's IaaS, PaaS, then FaaS, and now serverless? How will being billed for usage affect software architecture?

Marc Durdin has been working on the same open source project more or less since he was 14! Today Keyman is a thriving open source project that supports over 1000 languages and works on Windows, Mac, Phones, and the Web!

Sarah Squire is a Senior Technical Architect at Ping Identity. So much has happened since "Identity 2.0" so Sarah catches Scott up to date. OpenID, OAuth and beyond, what's new and what direction is the web heading?

Scott teams up with Pursuit Podcast's Jessica Rose for a collaboration. Jessica asked her audience "What's the worst advice you've ever received?" We took their audio clips and turned it into a two-part discussion! You can check out Part 2 at The Pursuit Podcast https://twitter.com/pursuitpod http://hyperurl.co/zukdmh

Ryan Kazanciyan is the Chief Security Architect at Tanium, and in his spare time worked as Technical Consultant for Mr. Robot alongside writer and producer Kor Adana. Why is Mr. Robot so unique in the quality of its on-screen hacks? How does one make a hack both real AND entertaining a technical and non-technical audience? Is there a lot of pressure knowing that Reddit will screenshot every frame and analyze it? All this and, how afraid should we be of our compromised computers?

What is Quantum Computing and will it change everything? Scott talks to Dr. Krysta Svore about why the future is Quantum and why YOU should be thinking about how Quantum Computing can help your applications today.

Sarah Kunst is a long-time technologist, angel investor, talent scout, and now CEO and Founder of Proday.co. A member of the Forbes 30 under 30, Sarah's experience is broad and deep. She attributes much of that to empathy and specifically empathy in technical product development. In this episode she talks to Scott about the importance of truly understanding your customer and market and why empathy in design is just the start.

Fable is an F# to JavaScript compiler powered by Babel, designed to produce readable and standard code. Alfonso chats with Scott about how Fable and F# fit into the larger JavaScript ecosystem and how you can experience the best of .NET with the best of node and JavaScript.

In 2012, Elvis Chidera wrote his first app on a Nokia feature (J2ME) phone. He wrote the Java App ON the phone (literally writing the Java code with T9 text on a numeric keypad.) Today, he's an Android developer at dotlearn.io who has worked on over 50 apps and currently works for an MIT startup. He chats with Scott about the Nigerian mobile market, how feature phones work, and where Android is headed.

Troy Hunt runs HaveIBeenPwned.com as a service to us all, but it's also a massive learning playground for him. He schools Scott on all things security and privacy. Is your password known? Let's ask Troy.

Scott checks in with Alena (Lena) Hall about her thoughts around F#, functional programming, microservices, Kubernetes and containers in the cloud. Where are we heading and are we moving too fast? Is F# well-positioned for the cloud-based future?

Scott talks to Docker Captain and Open Source programmer Alex Ellis about the rise of Kubernetes, Serverless, and his project "OpenFaas." Alex also shares details on the obsession (and usefulness) of Raspberry Pi clusters for learning large systems development.

This week on the show Scott talks to Data Scientist and AI expert Paige Bailey. What's the difference between machine learning and deep learning? Do I need to learn R and Python to use machine learning models? Do models need to deploy regularly or can I use them forever? All these questions and more, this week!