Recent Episodes
SE Radio 598: Jonathan Crossland on the AMMERSE Framework
Jonathan Crossland, software architect, author, and business owner, joins host Jeff Doolittle for a conversation about the AMMERSE framework of design principles. They start by discussing the agile manifesto as a statement of values, and Jonathan shares his perspective based on his experience as a software developer and business owner. They then explore the three […]
SE Radio 597: Coral Calero Muñoz and Félix García on Green Software
Coral Calero Muñoz and Félix García, professors at the University of Castilla-La Mancha, speak with host Giovanni Asproni about green and sustainable software—an approach to software development aimed at creating software systems that consume less energy and produce less CO2 during their entire lifetimes with minimal impact on their functionality and other qualities. The episode starts […]
SE Radio 596: Maxim Fateev on Durable Execution with Temporal
Maxim Fateev, the CEO of Temporal, speaks with SE Radio’s Philip Winston about how Temporal implements durable execution. They explore concepts including workflows, activities, timers, event histories, signals, and queries. Maxim also compares deployment using self-hosted clusters or the Temporal Cloud. Show Notes Related Episodes SE Radio 502 – Omer Katz on Distributed Task Queues […]
SE Radio 595: Llewelyn Falco on Approval Testing
Llewelyn Falco, creator approval tests, talks with SE Radio host Sam Taggart about testing code in general and the various types of testing that developers perform. Llewelyn elaborates on how approval tests can help test code at a higher level than traditional unit tests. They also discuss using approval tests to help get legacy code […]
SE Radio 594: Sean Moriarity on Deep Learning with Elixir and Axon
Sean Moriarity, creator of the Axon deep learning framework, co-creator of the Nx library, and author of Machine Learning in Elixir and Genetic Algorithms in Elixir, published by the Pragmatic Bookshelf, speaks with SE Radio host Gavin Henry about what deep learning (neural networks) means today. Using a practical example with deep learning for fraud […]
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