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.
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AI
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.
Why you need diverse third-party data to deliver trusted AI solutions
Diverse, high-quality data is a prerequisite for reliable, effective, and ethical AI solutions.
Better vibes and vibe coding with Gemini 2.5
Ryan and Ben welcome Tulsee Doshi and Logan Kilpatrick from Google's DeepMind to discuss the advanced capabilities of the new Gemini 2.5.
Banking on a serverless world
Kathleen Vignos, VP of Software Engineering at Capital One, sits down with Ryan to explore shifting to 100% serverless architecture in enterprise, deploying talent for better customer experience, and fostering AI innovation and tech advancements in a regulated banking environment.
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.
Getting rid of the pain for developers on Shopify
Ryan welcomes Glen Coates, VP of Product at Shopify, to dive into the intricacies of managing a developer-focused product, the challenges of backwards compatibility, and the implications of AI and LLMs in Shopify's development environment.
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.
“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.
Can a dev environment spark joy? The Android team thinks so.
Matthew McCullough, VP of Product for Android Developer Experience, sits down with Ryan to talk advancements in Android development, enhancing developer efficiency and reducing routine toil, and the application of Gemini AI models to improve software toolchains.
Durable execution: autosave for your microservices
Ryan is joined by Jeremy Edberg, CEO of DBOS, and Qian Li, co-founder of DBOS, to discuss durable execution and its use cases, its implementation using technologies like PostgreSQL, and its applications in machine learning pipelines and AI systems for reliability, debugging, and observability.
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.
Whether AI is a bubble or revolution, how does software survive?
Money is pouring into the AI industry. Will software survive the disruption it causes?
Is the enterprise (actually) ready for AI?
Maryam Ashoori, Head of Product for watsonx.ai at IBM, joins Ryan and Eira to talk about the complexity of enterprise AI, the role of governance, the AI skill gap among developers, how AI coding tools impact developer productivity, what chain-of-thought reasoning entails, and what observability and monitoring look like for AI.
Using AI to find patient zero in marketing campaigns
Ben Popper chats with CTO Abby Kearns about how Alembic is using composite AI and lessons learned from contract tracing and epidemiology to help companies map customer journeys and understand the ROI of their marketing spend. Ben and Abby also talk about where open-source models have the edge and the challenges startups face in building trust with big companies and securing the resources they need to grow.
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.
Improving on a 30-year-old hardware architecture
At HumanX 2025, Ryan chatted with Rodrigo Liang, cofounder and CEO of SambaNova, about reimagining 30-year-old hardware architecture for the AI era.
Without foundational governance, every AI deployment is a liability in disguise: Q&A with Jack Berkowitz of Securiti
Avoiding bad data is just as important in AI; it can open you to fines, lawsuits, and lost customers.
“We’re not replacing you; we’re with you”: Where AI meets infrastructure
Ryan talks with Greg Fallon, CEO of Geminus, about the intersection of AI and physical infrastructure, the evolution of simulation technology, the role of synthetic data in machine learning, and the importance of building trust in AI systems. Their conversation also touches on automation, security concerns inherent in AI-driven infrastructure, and AI’s potential to revolutionize how complex infrastructure systems are managed.
How self-supervised learning revolutionized natural language processing and gen AI
Self-supervised learning is a key advancement that revolutionized natural language processing and generative AI. Here’s how it works and two examples of how it is used to train language models.
Grab bag! On the floor at HumanX
Today’s episode is a roundup of spontaneous, on-the-ground conversations from HumanX 2025, featuring guests from CodeConductor, DDN, Cloudflare, and Galileo.