Creating Checkpoints by Gaslighting a Postgres Database
In this episode, Ryan Donovan talks with Brian Clark, Director of Product for LakeBase at Databricks, about the challenges of managing PostgreSQL databases when AI agents are the primary creators and users. Clark explains how AI-driven “fan‑out” strategies spawn many short‑lived database instances, leading to costly token spend and infrastructure overhead, and how LakeBase’s branching architecture—using copy‑on‑write and a custom file system that writes to a virtual WAL—makes creating, cloning, and tearing down databases instant and cheap. He draws parallels between this branching model and Git, emphasizing how it restores developer speed that traditional database provisioning has lost. The discussion highlights the shift from manual scripts to AI automation and the need for platforms that can handle massive, transient database workloads efficiently.
What It Takes to Be a Player in the International AI Game
In this episode, Stack Overflow’s host chats with Song Yi Yun, Managing Partner at PVP Ventures, about the global AI landscape and how AI development differs outside the United States. Yun explains that while building a full AI stack requires massive capital,...
Breaking Your AI Storage Bottlenecks
In this episode, MinIO co‑CEOs Garima Kapoor and Anand Babu Paryasamy discuss NVIDIA's new STX reference architecture, a purpose‑built DPU‑based storage system designed to feed GPUs at ultra‑high speeds. They explain how traditional commodity servers hit bottlenecks in PCIe lanes,...
Your Fridge Could Be a Threat to National Security
In this episode, Adam Myers, Senior Vice President of Counter Adversary Operations at CrowdStrike, breaks down the evolving global software threat landscape, highlighting how adversaries have shifted from exploiting technical vulnerabilities to targeting identities through phishing, voice‑based social engineering, and...
Observability and Human Intuition in an AI World
In this live Stack Overflow episode, Honeycomb CEO Christine Yen and Resolve.ai CEO Spiros Zantos explore how observability must evolve as AI-driven code generation compresses the software development lifecycle. They argue that telemetry remains the same—raw data from applications—but its...
What (Un)exactly Do You Mean by Semantic Search?
In this episode, Ryan Donovan and Quadrant’s Brian O'Grady compare traditional Lucene‑based text search engines (like Elasticsearch) with modern vector databases for semantic search, outlining when each is appropriate. They explain that exact term matching excels in log analytics and...
Your LLM Issues Are Really Data Issues
In this episode, Ryan Donovan talks with Harsha Chintalapani, co‑founder and CTO of Collate, about why the biggest challenges facing LLMs in production are actually data problems. Harsha explains how issues like schema drift, ambiguous business definitions, data discovery, lineage,...
Who Needs VCs when You Have Friends Like These?
In this episode, Zen Liu, co‑founder and CEO of RunPod, explains how his team bypassed traditional venture‑capital funding and built a GPU‑focused cloud platform directly from community feedback. Starting with basement‑hosted servers, they launched a free, Reddit‑promoted dev‑environment product that...
The Messy Truth of Your AI Strategies
In this episode, host Ryan Donovan and guest Hima Raghavan, co‑founder and head of engineering at Kumo.ai, dissect the chaotic realities of deploying AI in profit‑driven enterprises, covering issues like pipeline sprawl, shadow AI, and data governance. Hima explains how...
Seizing the Means of Messenger Production
In this episode, host Ryan Donovan talks with Galen Wolf‑Pauly, CEO of Tlan, about building a decentralized, user‑owned messaging platform built on the Urbit virtual‑machine architecture. Wolf‑Pauly explains how early internet ideals of personal control gave way to cloud services,...
Prevent Agentic Identity Theft
In this episode, Stack Overflow host Ryan Donovan talks with Nancy Wang, CTO of 1Password, about the emerging security challenges of local AI agents. Wang explains how agents like ClaudeBot (now MoldBot) can access a device’s full execution context—files, terminals,...
After All the Hype, Was 2025 Really the Year of AI Agents?
In this episode, host Ryan Donovan and HumanX Conference CEO Stefan Weitz examine why 2025 didn’t live up to the hype of being the "year of AI agents." They explain that while agents generated a lot of buzz, practical deployment...
Building a Global Engineering Team (Plus AI Agents) with Netlify
In this brief episode, the host discusses the rapid democratization of software development and how Netlify is building a global engineering team to harness this momentum, including the use of AI agents to streamline workflows. They highlight the shift away...
Keeping the Lights on for Open Source
In this episode, host Ryan Donovan talks with Dan Lurink, CEO of ChainGuard, about the sustainability challenges facing open‑source projects, especially maintainer burnout and funding gaps. Lurink explains ChainGuard’s “Keeping the Lights On” program, which adopts archived or “done” repositories,...
Open Source for Awkward Robots
In this episode, host Ryan Donovan chats with Jan Lipart, CEO and co‑founder of OpenMind, about their open‑source robotics platform OM1 that lets humanoid robots communicate internally via natural language and be governed by immutable, blockchain‑stored rules like Asimov's laws....