Visually orchestrating data diagnostics but platform agnostic
Ryan chats with Dataiku CEO and cofounder Florian Douetteau about the complexities of the genAI data stack and how his company is orchestrating it.
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generative AI
Engineering teams need to adapt to AI’s scaling challenges
AI is not a linear process. To scale effectively, engineering leaders must account for varied edge cases, presenting a new set of challenges.
How AI can prevent clinician burnout
In today’s episode, Ryan sits down with Richard “Spencer” Schaefer, cofounder and CTO of Lunar Analytics and a federal AI officer, and Caroline Zhang, cofounder and CTO of Knowtex, which provides AI-powered voice technology to automate workflows. They talk about safeguarding patient privacy, how AI changes doctor-patient interactions and healthcare delivery, the challenges inherent in rolling out AI technology, and the importance of quality data to fuel AI initiatives. Also included: a chat with Jeff Berkowitz, cofounder and CEO of Delve Deep Learning.
How do you fact-check an AI?
Ryan chats with Amr Awadallah, founder and CEO of GenAI platform Vectara about how retrieval-augmented generation (RAG) has advanced, why fact-checking and accurate data are essential in building AI applications, and how Vectara’s Mockingbird model seeks to minimize hallucinations.
“There is a real cost to moving fast”: Using AI to accelerate drug discovery
On this episode of Leaders of Code, Maureen Makes, VP of Engineering at Recursion, discusses AI's role in drug discovery, scaling and integration challenges, and the importance of innovation in achieving the high standards desired.
Bottom of the first: A veteran VC’s take on the AI landscape
Ryan welcomes Tomasz Tunguz of Theory Ventures back to the podcast to talk about the intersection of AI and venture capital, the implications of AI on the labor market, and the future of AI applications.
Using GenAI as a learning tool, not a crutch
AI is changing how we think about coding. While tools evolve, critical thinking, problem-solving, and creativity remain the essential skills for top developers.
Is AI a bubble or a revolution? The answer is yes.
At HumanX 2025, Ryan sat down with HumanX CEO Stefan Weitz and Crunchbase CEO Jager McConnell to talk about where the money is in the AI space, where most enterprise AI strategies fall short, how companies can build business models when AI tech is evolving so quickly, and why this is AI’s microservices moment.
From training to inference: The new role of web data in LLMs
Data has always been key to LLM success, but it's becoming key to inference-time performance as well.
Boots on the ground: Holistic AI and Audioshake at HumanX
Two interviews for the price of one, direct from HumanX 2025! Ryan sits down with Raj Patel, AI transformation lead at Holistic AI, and then chats with Audioshake cofounder and CEO Jessica Powell.
“Are AI agents ready for the enterprise?”
Deepak Singh, VP of Developer Agents and Experiences at AWS, helps Ryan break down the hype around agentic AI in software development. They cover the definition and real-world functionality of AI agents, how developers can integrate them into existing workflows, and the importance of establishing guardrails to ensure trust and security in agentic AI.
AI is shifting focus from syntax to critical thinking
In this episode of Leaders of Code, host Ben Popper, Stack Overflow CEO Prashanth Chandrasekar, and GitLab Field CTO Lee Faus explore how GenAI is reshaping software development practices.
“The power of the humble embedding”
Ryan speaks with Edo Liberty, Founder and CEO of Pinecone, about building vector databases, the power of embeddings, the evolution of RAG, and fine-tuning AI models.
An AI future free of slop
Stack Overflow CEO Prashanth Chandrasekar sat down with Ryan at HumanX 2025 to talk about how Stack is integrating AI into its public platform, the enormous importance of a high-quality knowledge base in your AI journey, how AI tools are empowering junior developers to build better software, and much more.
Improving error monitoring with AI
Tillman Elser, AI/ML lead at Sentry, joins Ryan for a conversation about improving error monitoring with AI and ML. They talk through the challenges of analyzing stack traces, the innovative use of embeddings to improve error grouping, the trial-and-error process of developing algorithms, and where Sentry’s AI capabilities are headed next.
To get ahead with AI, fine-tune your data strategy
In the first episode of our new podcast series, Leaders of Code, we sat down with Don Woodlock, Head of Global Healthcare Solutions at InterSystems, and Stack Overflow CEO Prashanth Chandrasekar to discuss data strategy's critical role in AI development.
What we learned at TDX 2025
Some high-level takeaways, with more to come.
Can climate tech startups address the current crisis?
Lisbeth Kaufman, Head of Climate Tech at AWS, sits down with Ryan to talk about her work helping climate tech startups get off the ground and the role startups can play in addressing the climate change crisis. She highlights a few projects to get excited about, including ones focused on fusion energy and sustainable agriculture.
Junky data is like an out-of-tune guitar—it prevents AI harmony
In our very first episode, Stack Overflow CEO Prashanth Chandrasekar talks to Don Woodlock, Head of Global Healthcare Solutions at InterSystems, about the challenges in their AI journey and the critical role of a robust data strategy in any successful AI initiative.
Sharing the power of the command line
Ryan welcomes Zach Lloyd, founder and CEO of Warp, to the show to talk about reimagining the terminal. They also discuss why Warp was built in Rust (“it’s definitely harder”), how AI is transforming developer tools, and what Zach (formerly a principal engineer at Google) learned building Docs and Sheets.
Is Postgres the best database for GenAI?
Jeremy “Jezz” Kellway, VP of Engineering for Analytics and Data & AI at EDB (Enterprise Database), joins Ryan for a conversation about Postgres and AI. They unpack how Postgres is becoming the standard database for AI applications, the importance of managing unstructured data, and the implications of data sovereignty and governance in AI.
“Translation is the tip of the iceberg”: A deep dive into specialty models
Olga Beregovaya, VP of AI at Smartling, joins Ryan and Ben to explore the evolution and specialization of language models in AI.
Writing tests with AI, but not LLMs
How Diffblue leverages machine learning techniques to write effective unit tests.
Solving the data doom loop
Ken Stott, Field CTO of API platform Hasura, tells Ryan about the data doom loop: the concept that organizations are spending lots of money on data systems without seeing improvements in data quality or efficiency.