What an MCP implementation looks like at a CRM company
Ryan chats with Karen Ng, EVP of Product at HubSpot, to chat about Model Context Protocol (MCP) and how they implemented it for their server for their CRM product.
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Planning to Arm mobile devices with chips that handle AI
Ryan welcomes Geraint North, AI and developer platforms fellow at Arm, to dive into the impact of GenAI on chip design.
How AI is reshaping developer teams and the future of software development
Whether you're leading an engineering team today or preparing for an AI-integrated future, this conversation provides practical insights into where AI can have the greatest impact on your software delivery process.
AI vs Gen Z: How AI has changed the career pathway for junior developers
For promising Gen Z students, a career as a software developer seemed like the golden ticket to career stability and success. But in the age of AI, the career promise for Gen Z software developers is gone.
We built stackoverflow.ai with the community and for the community
Ryan is joined by our very own Ash Zade, Staff Product Manager, and Alex Warren, Staff Software Engineer, to discuss our newly released stackoverflow.ai, how it’s enhancing user experience by combining human-validated answers with AI, and our future plans for deeper personalization and community integration.
Building AI for consumer applications isn’t all fun and games
Kylan Gibbs, CEO of Inworld, joins the show to discuss the technical challenges of creating interactive AI for virtual worlds and games, the significance of user experience, and the importance of accessibility and cost-efficiency in deploying AI models.
From punch cards to prompts: a history of how software got better
Ryan welcomes Darko Mesaroš, Principal Developer Advocate at AWS and all-around computer history buff, to chat about the history of software development improvements and how they made developers made more productive.
Robots in the skies (and they use Transformer models)
Ryan welcomes Nathan Michael, CTO at Shield AI, to discuss what AI looks like in defense technologies, both technically and ethically.
The server-side rendering equivalent for LLM inference workloads
Ryan is joined by Tuhin Srivastava, CEO and co-founder of Baseten, to explore the evolving landscape of AI infrastructure and inference workloads, how the shift from traditional machine learning models to large-scale neural networks has made GPU usage challenging, and the potential future of hardware-specific optimizations in AI.
AI isn’t stealing your job, it’s helping you find it
Wenjing Zhang, VP of Engineering, and Caleb Johnson, Principal Engineer at LinkedIn, sit down with Ryan to discuss how semantic search and AI have transformed LinkedIn’s job search feature. They explore the engineering efforts behind transitioning from keyword-based search and the impact of AI models on LinkedIn’s job seekers and employers.
Being unambiguous in what you want: the software engineer in a vibe coding world
Quinn Slack, CEO and co-founder of Sourcegraph, joins the show to dive into the implications of AI coding tools on the software engineering lifecycle. They explore how AI tools are transforming the work of developers from syntax-focused tasks to higher-level design and management roles and how AI will integrate into enterprise environments.
Diving into the results of the 2025 Developer Survey
Ryan and Eira welcome Erin Yepis, Senior Analyst at Stack Overflow, to the show to discuss the newly released 2025 Developer Survey results. They explore the decline in trust in AI tools, shifts in popular programming technologies, and the patterns Erin saw in salary growth among developers.
That custom gift for your mom takes more work than you think
Ryan welcomes Mahir Yavuz, Senior Director of Engineering at Etsy, to the show to explore the unique challenges that Etsy’s marketplace faces and how Etsy’s teams leverage machine learning and AI to manage product SKUs, enrich inventory metadata, and improve both buyer and seller experiences.
“AI has been the wild west”: Creating standards for agents with Sean Falconer
Ryan is joined on the podcast by Confluent’s AI Entrepreneur in Residence, Sean Falconer, to discuss the growing need for standards for AI agents, the emerging Model Context Protocol and agent-to-agent communication, and what we can learn from early web standards while AI continues to evolve.
Where we’re going, we don’t need fossil fuels
Ryan is joined by Kieran Furlong, CEO of Realta Fusion, to talk about the future of fusion as a safe and sustainable energy source, the computation and scientific advancements that have made fusion possible, and how fusion technology innovations will address data and AI’s rising energy demands.
How your favorite movie is changing language learning technology
Ryan sits down with CTO Aruna Srivastava and CPO Ruslan Mukhamedvaleev from Koel Labs to talk about how they’re innovating speech technology with the help of AI and classic movies. They also tell Ryan about their time in the Mozilla Builders Accelerator and their experiences as student co-founders in an ever-changing economic and technological landscape.
Attention isn’t all we need; we need ownership too
Ryan welcomes Illia Polosukhin, co-author of the original "Attention Is All You Need" Transformers paper and co-founder of NEAR, on the show to talk about the development and impact of the Transformers model, his perspective on modern AI and machine learning as an early innovator of the tech, and the importance of decentralized, user-owned AI utilizing the blockchain.
Why call one API when you can use GraphQL to call them all?
Ryan welcomes Matt DeBergalis, CTO at Apollo GraphQL, to discuss the evolution and future of API orchestration, the benefits of GraphQL in managing API complexity, its seamless integration with AI and modern development stacks, and how it enhances developer experience through better tooling and infrastructure.
Reliability for unreliable LLMs
Large language models are non-deterministic by design. Here's how you can inject a little bit of determinism into GenAI workflows.
Not an option, but a necessity: How organizations are adopting and implementing AI internally
AI is no longer just a luxury for the most tech savvy companies — it's now a necessity for organizational transformation. How are real teams successfully leveraging and innovating with these new tools?
You've vibe coded an app. Now what?
On this episode, Ryan chats with Vish Abrams, chief architect at Heroku, about all the work that needs to be done after you’ve vibe coded your dream app.
Learn like a lurker: Gen Z’s digital-first lifestyle and the future of knowledge
As a generation characterized as "digital natives," the way Gen Z interacts with and consumes knowledge is rooted in their desire for instant gratification and personalization. How will this affect the future of knowledge management and the technologies of tomorrow?
“We’re not worried about compute anymore”: The future of AI models
Ryan Donovan and Ben Popper sit down with Jamie de Guerre, SVP of Product at Together AI, to discuss the evolving landscape of AI and open-source models. They explore the significance of infrastructure in AI, the differences between open-source and closed-source models, and the ethical considerations surrounding AI technology. Jamie emphasized the importance of leveraging internal data for model training and the need for transparency in AI practices.