Last week in AWS re:Invent with Corey Quinn
Ryan sits down with Corey Quinn, Chief Cloud Economist at Duckbill, at AWS re:Invent to get Corey’s patented snarky take on all the happenings from the conference.
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Live from re:Invent…it’s Stack Overflow!
Ryan is joined by Stack Overflow’s CEO Prashanth Chandrasekar and Director of Data Science Michael Foree on the floor at re:Invent to discuss all they’ve seen and heard at the event, from the future of AI agents to the trust issues the enterprise has around AI and the impact of AI and robotics on the job market.
How Stack Overflow’s MCP Server is helping HP modernize the software development lifecycle
HP's Distinguished Technologist Evan Scheessele shares how better knowledge access is allowing HP to experiment and modernize their software development lifecycle with the help of the Stack Internal MCP Server.
The shift in enterprise AI—what we learned on the floor at Microsoft Ignite
There's a distinct shift in how enterprises are talking about their AI solutions. Speed and flashiness are giving way to steadier, slower, more focused AI strategies for companies, where market fit and proof points are more important than ever.
How to create agents that people actually want to use
Ryan welcomes Assaf Elovic, head of AI at monday.com, to discuss creating AI tools that users will actually adopt, how they created their Monday Sidekick agent with the user experience in mind, and the opportunities that AI creates for better productivity and more efficiency.
The fastest agent in the race has the best evals
Ryan welcomes Benjamin Klieger, lead engineer at Groq, to explore the infrastructure behind AI agents, how you can turn a one-minute agent into a ten-second agent, and how they used fast inference and effective evals to build their efficient and reliable Compound agent.
Craft and quality through speed and scale (and agents)
Ryan welcomes Tom Moor, head of engineering at Linear, to discuss AI agents’ mixed results for productivity in the development lifecycle, the importance of context for maximizing agents’ effectiveness, and the role that junior developers need to take in a world increasingly driven by AI.
Your runbooks are obsolete in the age of agents
Ryan is joined by Spiros Xanthos, CEO and founder of Resolve AI, to talk about the future of AI agents in incident management and troubleshooting, the challenges of maintaining complex software systems with traditional runbooks, and the changing role of developers in an AI-driven world.
Open source is giving you choices with your agent systems
Ryan welcomes John Dickerson, CEO of Mozilla.ai, to talk about the evolving landscape of AI agents, the role of open source in keeping the tech ecosystem healthy, the challenges OS communities have faced with the rise of AI, and the implications of data privacy and user choice in the age of multi-agent AI systems.
AI agents for your digital chores
Ryan welcomes Dhruv Batra, co-founder and chief scientist at Yutori, to explore the future of AI agents, how AI usage is changing the way people interact with advertisements and the web as a whole, and the challenges that proactive AI agents may face when being integrated into workflows and personal internet use.
One is not the loneliest number for API calls
Gil Feig, co-founder and CTO of Merge, joins the show to explore Merge’s approach for reducing third-party APIs to a single call, the complexities of and need for data normalization, and the role that AI and MCP plays in the future of API functionality.
As your AI gets smarter, so must your API
Ryan sits down with Marco Palladino, CTO of Kong, to talk about the rise of AI agents and their impact on API consumption, the MCP protocol as a new standard for agents, the importance of observability and security in AI systems, and the importance for businesses and entrepreneurs to leverage opportunities in the agentic AI space now.
Democratizing your data access with AI agents
Jeff Hollan, director of product at Snowflake, joins Ryan to discuss the role that data plays in making AI and AI agents better. Along the way, they discuss how a database leads to an AI platform, Snowflake’s new data marketplace, and the role data will play in AI agents.
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.
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.
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.
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.
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?
Integrating AI agents: Navigating challenges, ensuring security, and driving adoption
Positioned at the intersection of automation, decision intelligence, and data orchestration, AI agents are quickly emerging as essential tools for aligning business outcomes with technical workflows.
Understanding the limitations of AI is crucial for enterprise success
What challenges do organizations face when adopting AI, and why is understanding its limitations key to success?
“The future is agents”: Building a platform for RAG agents
Douwe Kiela, CEO and cofounder of Contextual AI, joins Ryan and Ben to explore the intricacies of retrieval-augmented generation (RAG). They discuss the early research Douwe did at Meta that jump started the whole thing, the challenges of hallucinations, and the significance of context windows in AI applications.
Salesforce wants to do for agentic AI what they did for SaaS
Christophe Coenraets, SVP of Developer Relations at Salesforce, tells Eira and Ben about building the new Salesforce Developer Edition, which includes access to the company’s agentic AI platform, Agentforce. Christophe explains how they solicited and incorporated feedback from the developer community in building the developer edition, what types of AI agents people are building, and the critical importance of guardrails and prompt engineering.