The Stack Overflow Podcast
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.
Episodes
Mentioned books
Apr 17, 2024 • 42min
If everyone is building AI, why aren't more projects in production?
Exploring the challenges of AI development and production, from scaling projects to model selection. Insights on AI adoption in enterprises, managing AI models, and future trends. Highlights the launch of Stack Overflow's Overflow AI and teases upcoming episodes with MongoDB and Google Cloud Gen AI partner.
Apr 16, 2024 • 33min
How do you evaluate an LLM? Try an LLM.
Explore the challenges of evaluating Large Language Models (LLMs) in data science, emphasizing validation against a 'source of truth'. Discover techniques for improving evaluation, including custom benchmarks and prompt engineering. Delve into the risks of LLM self-evaluation and the importance of diverse synthetic data. Dive into the factors influencing model deployment decisions and maintenance considerations.
Apr 12, 2024 • 19min
Diverting more backdoor disasters
Topics include risks of using open-source software maintained by small teams, Apple's new LLM Ferret enhancing Siri's capabilities, and a user earning a Great Question badge on Stack Overflow. The podcast explores the XZ vulnerability in Linux, potential origins of cyber hacks, rising education costs in the U.S., Stack Overflow's impact on the software community, and tips for boosting reputation through open source contributions and interviewing techniques.
Apr 10, 2024 • 26min
Climbing the GenAI decision tree
Exploring AI decision-making processes, fine-tuning models, challenges in hosting generative AI, optimizing compute workloads, advantages of OpenVINO notebooks in AI technology, discussing Python errors and Stack Overflow integration with Generative AI.
Apr 9, 2024 • 20min
Want to be a great software engineer? Don’t be a jerk.
Topics include a backdoor in XZ compression utility, attributes of great software engineers, AI's impact on drug development, and audience engagement with AI trends on Stack Overflow.
Apr 5, 2024 • 23min
What a year building AI has taught Stack Overflow
Jessica, AI ethics and data platform building expert, discusses AI implementation, GPT and Transformer Architecture, community engagement, and challenges of implementing LLM's and Gennai on Stack Overflow with insights into data-driven decision making.
Apr 2, 2024 • 29min
Are long context windows the end of RAG?
Exploring the power of DBRX in AI, Sam Bankman-Fried's legal troubles, and a user earning a Lifeboat badge. Topics include LLMs' retrieval mechanisms, Bankman-Fried's sentence, and the impact of long context windows on AI models.
Mar 29, 2024 • 19min
Will antitrust suits benefit developers?
The podcast discusses how small nations profit from domain names, the US government's antitrust case against Apple, Reddit's IPO despite lack of profitability, challenges of a four-day work week, feedback on PRs, potential of AI tools in development, and the impact of AI on jobs and projects.
Mar 27, 2024 • 27min
Controlling cloud costs: Where to start, and where to go from there
Learn about cloud cost optimization, FinOps, surprise costs, and dealing with unexpected expenses. Explore the future of cloud cost optimization and the importance of good architecture in controlling costs. Discover strategies for optimizing cloud expenses through statelessness, spot instances, and commitment strategies.
Mar 26, 2024 • 27min
Data, data everywhere and not a stop to think
Discussing the challenges of data storage and security, measures of data quality for generative AI, and the role of Cribl in the data and observability space. Touching on the pros and cons of richer observability monitoring and closing remarks on the evolving data landscape.
