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
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.
6 snips
Mar 22, 2024 • 28min
Is AI making your code worse?
The podcast delves into how AI-generated code impacts code quality, with topics like copy-pasted code, code readability, auto-completion suggestions, and the need for improving AI generation. It explores the challenges and benefits of AI in code generation, managing technical debt, and enhancing code adaptability.
Mar 19, 2024 • 32min
Why the creator of Node.js® created a new JavaScript runtime
The podcast discusses the creation of Node.js, the transition to Dino JavaScript Runtime, challenges in the JS ecosystem, the JSR registry, the future of JavaScript, and a shoutout to a Stack Overflow user for a great question.
Mar 15, 2024 • 19min
Your whole repo fits in the context window
AI shops optimizing LLMs for RAG, turning repos into prompts. Good news: Apple keeping PWA support in EU. Discussion on AI research, OpenGPU platforms, and innovations in AI models. Reflections on AI evolution, Apple's updates, and debates on AI autonomy and Perplexity search engine.
Mar 12, 2024 • 25min
How Stack Overflow is partnering with Google to encourage socially responsible AI
Stack Overflow and Google Cloud have teamed up to develop an API - Overflow API, for Gemini, Google's AI model. The podcast discusses how the team is working towards socially responsible AI. Topics include empowering developers through community interaction, AI collaboration between Stack Overflow and Google, and advancements in code writing and AI integration in Stack Overflow for Teams.
Mar 8, 2024 • 31min
A leading ML educator on what you need to know about LLMs
Explore the foundations of Large Language Models (LLMs) with Maxime Labone as he discusses AI development. Learn about integrating Gen AI into organizations, the capabilities and limitations of language models for AI, and advancements in model architecture for LLMs.
Mar 7, 2024 • 20min
Building GenAI features in practice with Intuit Mailchimp
Exploring the significance of GenAI in various industries, discussing the decision-making process of building or purchasing it, how Intuit and MailChimp leverage generative AI for enhancing email content creation and personalized campaigns, qualities of a great prompt engineer, customer comfort with AI-generated content, and customer feedback on Gennai feature.
Mar 5, 2024 • 19min
Chunking express: An expert breaks down how to build your RAG system
Learn about building GenAI applications with vector databases, understanding RAG systems, advanced techniques to enhance RAG, and integrating traditional AI with newer AI models for querying databases on this episode.
