The Stack Overflow Podcast

For more than a dozen years, the Stack Overflow Podcast has been exploring what it means to be a developer and how the art and practice of software programming is changing our world. From Rails to React, from Java to Node.js, we host important conversations and fascinating guests that will help you understand how technology is made and where it’s headed. Hosted by Ben Popper, Cassidy Williams, and Ceora Ford, the Stack Overflow Podcast is your home for all things code.

https://stackoverflow.blog/podcast/

Eine durchschnittliche Folge dieses Podcasts dauert 28m. Bisher sind 695 Folge(n) erschienen. Alle 3 Tage erscheint eine Folge dieses Podcasts.

Gesamtlänge aller Episoden: 17 days 9 hours 2 minutes

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episode 696: Supporting the world’s most-used database engine through 2050


Dr. Richard Hipp, creator of SQLite, shares how he taught himself to program, the challenges he faced in creating SQLite, and the importance of testing and maintaining the software for long-term support.


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   28m
 
 

episode 695: Is GenAI the next dot-com bubble?


The home team talks about the current state of the software job market, the changing sentiments around AI job opportunities, the impact of big players like Facebook and OpenAI on the space, and the challenges for startups. Plus: The philosophical implications of LLMs and the friendship potential of corvids.


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   24m
 
 

episode 694: Why configuration is so complicated


Ben and Ryan explore why configuration is so complicated, the right to repair, the best programming languages for beginners, how AI is grading exams in Texas, Automattic’s $125M acquisition of Beeper, and why a major US city’s train system still relies on floppy disks. Plus: The unique challenge of keeping up with a field that’s changing as rapidly as GenAI.


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   17m
 
 

episode 693: If everyone is building AI, why aren't more projects in production?


SPONSORED BY MONGODB Ben talks with Shane McAllister, lead developer advocate at MongoDB, Stanimira Vlaeva, senior developer advocate at MongoDB, and Miku Jha, director, AI/ML and generative AI at Google Cloud, about the challenges and opportunities of operationalizing and scaling generative AI models in enterprise organizations...


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   41m
 
 

episode 692: How do you evaluate an LLM? Try an LLM.


On this episode: Stack Overflow senior data scientist Michael Geden tells Ryan and Ben about how data scientists evaluate large language models (LLMs) and their output. They cover the challenges involved in evaluating LLMs, how LLMs are being used to evaluate other LLMs, the importance of data validating, the need for human raters, and more needs and tradeoffs involved in selecting and fine-tuning LLMs.


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   32m
 
 

episode 691: Diverting more backdoor disasters


In the wake of the XZ backdoor, Ben and Ryan unpack the security implications of relying on open-source software projects maintained by small teams. They also discuss the open-source nature of Linux, the high cost of education in the US, the value of open-source contributions for job seekers, and what Apple is up to AI-wise.


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   18m
 
 

episode 690: Climbing the GenAI decision tree


SPONSORED BY INTEL In this episode, Ben and Ryan are joined by Ria Cheruvu, an AI evangelist at Intel, to discuss the different approaches to incorporating AI models into organizations. They explore the decision tree for choosing between building your own model, delve into the ongoing challenges of maintenance and sustainability, and highlight the importance of optimizing and directing workloads.


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   25m
 
 

episode 689: Want to be a great software engineer? Don’t be a jerk.


The home team convenes to discuss the XZ backdoor attack, what great software engineers have in common, how GenAI is changing the face of drug development, and the rise of managed service providers for AI.


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   19m
 
 

episode 688: What a year building AI has taught Stack Overflow


We sit down with Jessica Clark, a senior data scientist at Stack Overflow, to discuss how our company approaches generative AI and data quality. She discusses how we deal with risk mitigation when deploying non-deterministic systems that can produce different varying outputs to identical queries.


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   22m
 
 

episode 687: Are long context windows the end of RAG?


The home team is joined by Michael Foree, Stack Overflow’s director of data science and data platform, and occasional cohost Cassidy Williams, CTO at Contenda, for a conversation about long context windows, retrieval-augmented generation, and how Databricks’ new open LLM could change the game for developers. Plus: How will FTX co-founder Sam Bankman-Fried’s sentence of 25 years in prison reverberate in the blockchain and crypto spaces?


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   28m