Software Engineering Radio - the podcast for professional software developers se-radio@computer.org

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.

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.

Rishi Singh, founder and CEO at Sapient.ai, speaks with SE radio’s Kanchan Shringi about using generative AI to help developers automate test code generation. They start by identifying key problems that developers are looking for in an automated test-generation solution. The discussion explores the capabilities and limitations of today’s large language models in achieving that goal, and then delves into how Sapient.ai has built wrappers around LLMs in an effort to improve the quality of the generated tests. Rishi also suggests how to validate the generated tests and outlines his vision of the future for this rapidly evolving area. Brought to you by IEEE Computer Society and IEEE Software magazine. This episode is sponsored by WorkOS.

Hyrum Wright, Senior Staff Engineer at Google, discusses the book he co-edited, “Software Engineering at Google,” with host Gregory M. Kapfhammer. Wright describes the professional and technical best practices adopted by the software engineers at Google. The wide-ranging conversation investigates an array of topics, including measuring engineering productivity and writing effective test cases. This episode is sponsored by the Algorand Foundation.

Lane Wagner of Boot.dev speaks with host Philip Winston about Go, the programming language that's popular for web, cloud, devops, networking, and other types of development. In addition to discussing existing features such as structs, interfaces, concurrency, and error handling, Lane and Philip take a deep look at generics, a recent addition to the language. They also explore the developer experience with Go.

John Frandsen, Chief Product officer for Elebase, joins host Jeff Doolittle for an exploration of geospatial technologies. The conversation begins with a discussion of the history of mapping and global information systems (GIS) technologies. John describes the underlying technologies used in location-aware applications and the ways that developers can incorporate maps in their own applications. The conversation also highlights recent changes and innovations in the space, as well as the challenges and opportunities of incorporating your own data into existing base map providers. This episode is sponsored by WorkOS.