• Software Engineering Radio - the podcast for professional software developers

  • By: se-radio@computer.org
  • Podcast
Software Engineering Radio - the podcast for professional software developers  By  cover art

Software Engineering Radio - the podcast for professional software developers

By: se-radio@computer.org
  • Summary

  • Software Engineering Radio is a podcast targeted at the professional software developer. The goal is to be a lasting educational resource, not a newscast. SE Radio covers all topics software engineering. Episodes are either tutorials on a specific topic, or an interview with a well-known character from the software engineering world. All SE Radio episodes are original content — we do not record conferences or talks given in other venues. Each episode comprises two speakers to ensure a lively listening experience. SE Radio is brought to you by the IEEE Computer Society and IEEE Software magazine.
    (c) IEEE. All content is licensed under the Creative Commons 2.5 license
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Episodes
  • SE Radio 612: Eyal Solomon on API Consumption Management
    Apr 16 2024

    Eyal Solomon, CEO and co-founder of Lunar.dev, joins SE Radio’s Kanchan Shringi for a discussion on tooling for API consumption management. The episode starts by examining why API consumption management is an increasingly important topic, and how existing tooling on the provider side can be inadequate for client-side issues. Eyal talks in detail about issues that are unique to API consumers, before taking a deep dive into the evolution of middleware built by teams and companies to address these issues and the gaps. Finally they consider how Lunar.dev seeks to solve these issues, as well as Eyal's vision of lunar.dev as a open source platform. This episode is sponsored by WorkOS.

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    54 mins
  • SE Radio 611: Ines Montani on Natural Language Processing
    Apr 9 2024

    Ines Montani, co-founder and CEO of Explosion, speaks with host Jeremy Jung about solving problems using natural language processing (NLP). They cover generative vs predictive tasks, creating a pipeline and breaking down problems, labeling examples for training, fine-tuning models, using LLMs to label data and build prototypes, and the spaCy NLP library.

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    1 hr and 12 mins
  • SE Radio 610: Phillip Carter on Observability for Large Language Models
    Apr 3 2024

    Phillip Carter, Principal Product Manager at Honeycomb and open source software developer, talks with host Giovanni Asproni about observability for large language models (LLMs). The episode explores similarities and differences for observability with LLMs versus more conventional systems. Key topics include: how observability helps in testing parts of LLMs that aren't amenable to automated unit or integration testing; using observability to develop and refine the functionality provided by the LLM (observability-driven development); using observability to debug LLMs; and the importance of incremental development and delivery for LLMs and how observability facilitates both. Phillip also offers suggestions on how to get started with implementing observability for LLMs, as well as an overview of some of the technology's current limitations. This episode is sponsored by WorkOS.

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    1 hr and 5 mins

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