How to succeed as a data engineer without the burnout
The key strategies for building a headache-free data platform
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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.
Climbing the GenAI decision tree
In this sponsored 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.
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.
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.
How do mixture-of-experts layers affect transformer models?
This new LLM technique has started improving the results of models without additional training.
Developers with AI assistants need to follow the pair programming model
CodeGen is fast, but you need to be good.
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?
Will antitrust suits benefit developers?
Ben and Ryan talk about how tiny nations are making huge money from their domain names, the US government’s antitrust case against Apple, the implications of a four-day work week, Reddit’s IPO, and more.
Controlling cloud costs: Where to start, and where to go from there
In this episode, Ben and Ryan are joined by Joshua Fox, a senior cloud architect at DoiT, to discuss cloud cost optimization. They explore the importance of controlling and understanding cloud costs, the role of good architecture in cost optimization, and strategies for dealing with surprise costs.
Community products: Reflections and looking ahead
This past year, we’ve explored and learned how AI can support the community on Stack Overflow and across the Stack Exchange network. Read more to see our reflections and learn more about the initiatives our product team is prioritizing this year.
Data, data everywhere and not a stop to think
Ben and Ryan are joined by Nick Heudecker, Senior Director of Market Strategy and Competitive Intelligence at Cribl, to discuss the state of data and analytics. They cover GenAI, the role of incumbents vs. startups, challenges of data storage and security, data quality and ETL pipelines, measures of data quality for GenAI, and Cribl’s role in the data and observability space.
Is AI making your code worse?
Ben and Ryan are joined by Bill Harding, CEO of GitClear, for a discussion of AI-generated code quality and its impact on productivity. GitClear’s research has highlighted the fact that while AI can suggest valid code, it can’t necessarily reuse and modify existing code—a recipe for long-term challenges in maintainability and test coverage if devs are too dependent on AI code-gen tools.
Why the creator of Node.js® created a new JavaScript runtime
Ryan Dahl, creator of Node.js and Deno, tells us about his journey into software development and the creation of Node.js. He explains why he started Deno, a new JavaScript runtime. Ryan also introduces JSR, an alternative to NPM, and emphasizes the importance of security in the JavaScript ecosystem. Plus: Thoughts on the future of JavaScript, including the role of TypeScript and bridging the gap between server-side and browser JavaScript.
Exploring what inspired folks to start coding
Users have been sharing the spark that started them on their journey as computer programmers. From IRC to Minecraft, users found a passion that became a career.
Your whole repo fits in the context window
The home team discusses the challenges (hardware and otherwise) of building AI models at scale, why major players like Meta are open-sourcing their AI projects, what Apple’s recent changes mean for developers in the EU, and Perplexity AI’s new approach to search.
How Stack Overflow is partnering with Google to encourage socially responsible AI
Ben talks with Ryan Polk, Chief Product Officer at Stack Overflow, about our strategic partnership with Google Cloud, the importance of collaboration between AI companies and the Stack Overflow community, and why Stack Overflow’s Q&A format is so suitable for training AI models.
A leading ML educator on what you need to know about LLMs
Machine learning scientist, author, and LLM developer Maxime Labonne talks with Ben and Ryan about his role as lead machine learning scientist, his contributions to the open-source community, the value of retrieval-augmented generation (RAG), and the process of fine-tuning and unfreezing layers in LLMs. The team talks through various challenges and considerations in implementing GenAI, from data quality to integration.
Building GenAI features in practice with Intuit Mailchimp
Ryan and Ben chat with Shivang Shah, Chief Architect, and Jon Fasoli, Chief Design & Product Officer, both of Intuit Mailchimp, about implementing GenAI and how all the pieces came together to make a better end user experience.
Chunking express: An expert breaks down how to build your RAG system
This is part two of our conversation with Roie Schwaber-Cohen, Staff Developer Advocate at Pinecone, about retrieval-augmented generation (RAG) and why it’s crucial for the success of your AI initiatives.
In Rust we trust? White House Office urges memory safety
Is your preferred programming language a matter of national security?
It’s RAG time for LLMs that need a source of truth
On this episode: Roie Schwaber-Cohen, Staff Developer Advocate at Pinecone, joins Ben and Ryan to break down what retrieval-augmented generation (RAG) is and why the concept is central to the AI conversation. This is part one of our conversation, so tune in next time for the thrilling conclusion.
Defining socially responsible AI: How we select partners
Stack Overflow is on a journey to build a new era in the practice of AI: the era of social responsibility. All products based on models that consume public Stack Overflow data are required to provide attribution back to the highest relevance posts that influenced the summary given by the model.
Optimizing both hardware and software for GenAI
Ryan and Ben chat with Raymond Lo, AI software evangelist at Intel, about the AI PC, the software that powers AI breakthroughs, and optimizing hardware and software in unison to improve generative AI performance.