AI agents
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Every ecommerce hero needs a Sidekick
Ryan is joined by Vanessa Lee, VP of Product at Shopify, to discuss how AI is a tech renaissance and how these new technologies are affecting the ecommerce world. They cover the development of Sidekick, along with the general challenges of building AI tools, the importance of maintaining human oversight in AI, and what the future holds for personalized user experiences in ecommerce.
Treating your agents like microservices
Ryan is joined by Outshift by Cisco’s VP of Engineering Guillaume De Saint Marc to discuss the future of multi-agent architectures as microservices, the challenges and limitations of the infrastructure for these multi-agent systems, and the importance of communication protocols and interoperability in order to build decentralized and scalable architectures.
Only you can stop AI database drops
Ryan is joined by David Hsu, CEO and founder of Retool, to explore how AI is transforming the role of a software developer into a software architect, the increasing accessibility of coding for non-engineers, and the importance of placing guardrails and higher-level programming primitives on AI coding assistants.
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.
Vibe coding needs a spec, too
Ryan talks with Deepak Singh, VP of Developer Agents and Experiences at AWS and lead at Kiro, about spec-driven development in a vibe coding world. They explore how AI tools have evolved from autocomplete to sophisticated agents that can write code based off of just specs, and how AWS has pioneered spec-driven development through their Kiro 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.
AI agents will succeed because one tool is better than ten
AI agents can chat, use tools, and write new code all from one interface. That's why they'll last.
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.
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.
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.
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?
A deep dive into building an agent framework for Salesforce
We’re always trying to make it easy for users to pick out the information they need and gain insights into their processes, so a natural language interface seemed like a dream.
Mastering microservices with a former Uber and Netflix architect
Ryan welcomes Jeu George, cofounder and CEO of Orkes, to the show for a conversation about microservices orchestration. They talk through the evolution of microservices, the role of orchestration tools, and the importance of reliability in distributed systems. Their discussion also touches on the transition from open-source solutions to managed services, integration opportunities for AI agents, and the future of microservices in cloud computing.
