A podcast about interesting programming topics for the curious software engineer. You will learn about programming languages, tools, libraries, and combinations thereof, from the best in the field.

Rock the Code
Claim This Podcastby Daniel Ciocirlan
Podcast Overview
A podcast about interesting programming topics for the curious software engineer. You will learn about programming languages, tools, libraries, and combinations thereof, from the best in the field.
Language
🇺🇲
Publishing Since
3/18/2025
1 verified contact email on file for Rock the Code
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes

June 24, 2026
Magnus Madsen on Flix, Scala Inspiration, AI, and the Relevance of Programming Languages
Magnus Madsen is an associate computer science professor at Aarhus University and the creator of the Flix programming language. --- 0:00 Intro 1:37 Flix fundamentals and design philosophy 3:57 Effect systems in the language vs. as a library 6:30 Effects as checked exceptions 10:57 Type inference and effect propagation 15:53 LLMs and Flix code generation 22:47 Datalog inside Flix 32:13 Research language vs. industry needs 37:03 Compiler tooling and VS Code integration 49:02 No warnings, only errors 51:03 Effect-aware package manager and supply chain attacks 54:59 Why the JVM, and WebAssembly futures 58:04 Flix-generated code outperforming Java 1:01:31 Java interop and effect system boundaries 1:07:48 Is programming language design still relevant in the AI age 1:09:35 Design regrets in Flix 1:13:09 Maintaining motivation across a decade of work

June 5, 2026
16 - Richard Eisenberg on OCaml, Effective AI, Teaching FP and Hiring for Fundamentals
Richard Eisenberg is a language designer and compiler engineer for OCaml at Jane Street and a core contributor to the Haskell language. He focuses on static type systems and functional programming to make software more reliable, while maintaining ease of use and runtime efficiency. Richard has also taught various computer science topics to both university and high school students, and he holds a PhD from the University of Pennsylvania. You can find Richard's work at https://richarde.dev/ --- 0:00 Intro 0:56 Teaching CS to high school students 3:20 Turning down Microsoft for a teaching career 8:26 PhD, faculty life, and joining Jane Street 12:32 Algorithms and FP for high schoolers in the age of AI 17:08 How Richard uses LLMs day-to-day 22:29 Jane Street's internal AI experimentation 23:08 OCaml in the age of AI: open sourcing and error messages 29:31 Making illegal states unrepresentable: how far is too far 38:11 Formal verification and LLMs 42:08 Effect handlers in OCaml 44:03 Rust-style ownership and data race freedom in OxCaml 51:06 Why Jane Street chose OCaml 57:54 OCaml vs Haskell: purity, mutability, and physical equality 58:47 Onboarding engineers to OCaml at Jane Street 1:00:01 Hiring for fundamentals, not OCaml experience 1:07:07 Screening for good programming taste 1:10:47 Training vs hiring: the chicken-and-egg problem 1:15:31 Why OCaml hasn't gone mainstream 1:25:08 Dynamic languages: Python, JavaScript, and their place 1:28:15 Rust, C++, Scala: languages Richard finds interesting 1:33:08 Research at Jane Street: papers, peer review, and process 1:36:17 Contributing back to open source ecosystems 1:37:46 Dependent types in Haskell: motivation and the long road

May 27, 2026
15 - Sam Newman on Microservices, Monoliths, and Building Resilient Distributed Systems
Sam Newman is an engineer and consultant, specialized in service architecture. He's the author of the books Building Microservices and Monolith to Microservices, and has helped many companies make informed choices about their service architecture. His forthcoming book is Building Resilient Distributed Systems. You can find Sam on his website https://samnewman.io/. --- 0:00 Intro 0:57 The distributed monolith trap 6:30 Structured programming fundamentals most devs skip 10:00 Why long-lived teams make better architecture decisions 13:33 Building Resilient Distributed Systems: the book 22:00 Three golden rules of distributed systems 22:11 The human side of resilience engineering 35:56 AI's impact on PR workflows and code verification 43:13 Why QAs are making a comeback 47:33 End-to-end testing in microservices architectures 58:21 Containerization, public cloud, and DevOps as microservices enablers 1:03:53 When Sam advises against microservices 1:09:38 Idempotency: retrofitting vs. designing upfront 1:15:21 Trunk-based development vs. the PR process
17 total episodes available
Similar Podcasts
Discover related shows you might enjoy
Deep-dive analytics for Rock the Code
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Rock the Code?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.





