Zero Prime Podcast

Data Council

The Zero Prime Podcast with Pete Soderling explores the early stories of top startups as seen through the eyes of their engineer-founders. In each episode we uncover insights on what it takes to start a company as an engineer in the words of the founders themselves. From the most cutting edge infrastructure companies to the newest trends in developer tooling, we introduce you to the engineer-founder personalities behind the up and coming software startups that you can’t afford to ignore.

  1. 3D AGO

    Ep 37: Everyone wants bigger context windows. Linus Lee thinks that's the wrong instinct

    Linus Lee, Head of AI at Thrive Capital, sits down with Pete Soderling to talk context engineering, monolithic agents, and the failure mode most teams aren't measuring yet. Most teams building AI agents right now are reaching for bigger context windows. Linus thinks that's the wrong instinct. He runs AI at Thrive and ships an internal research agent called Puck that's processed billions of tokens in production — which means he's seen the failure modes most of us are still pretending don't exist. In this conversation, we get into: – Why context engineering is really a search problem – Why monolithic agents get brittle the second you try to change anything – The observability gap nobody's talking about — when your dashboards are green but your agent isn't actually doing what the user asked – Why he's pulling 50-year-old IBM diagrams into modern AI work Linus is speaking at AI Council SF, May 12–14, 2026. 🎟️ Grab your ticket: https://aicouncil.com/sf-2026 📖 Read the full Q&A: https://petesoder.substack.com/p/linus-lee-says-your-agent-is-too Chapters: 00:00 Why a product person ends up at a VC firm 02:31 What working in investing taught him about data 08:49 The trap most engineers fall into with context windows 12:19 Context engineering as a search problem 15:37 The failure mode at scale nobody's talking about 17:31 What he's most excited about at AI Council Subscribe for more conversations with the engineers and founders building the future of AI. #AICouncil #ContextEngineering #AIAgents #LLMs #AIEngineering -- Mark your calendars for May 12-14, 2026 and join us for AI Council, the technical conference built by engineers for engineers. It's the only event where you'll be able to connect with 1,500+ practitioners for 3  days of technical deep dives, battle-tested architectures and production insights in San Francisco, the heart of the AI world. Visit us at https://aicouncil.com/sf-2026 for the latest updates or subscribe to the newsletter as we release more details about most exclusive AI conference in San Francisco!

    17 min
  2. 4D AGO

    Ep 36: The end of the pointer era: Chang She on rebuilding data infrastructure for AI

    For 50 years, the pattern has been the same: store the data in the database, keep the big files somewhere else, link them with a pointer. It's powered most production systems we've ever built. Chang She thinks AI is about to break it. In this episode, Pete Soderling sits down with Chang She ahead of AI Council SF 2026 to talk about why the old data stack wasn't built for what's coming, what agents are doing to database throughput, and why anyone with a serious background in performance "starts to shake in their boots a little" when they think about agentic data access at scale. About Chang Chang She is CEO and co-founder of LanceDB, building modern data infrastructure for AI. Previously, he architected the ML and experimentation stack at TubiTV as VP of Engineering. In the mythical pre-pandemic epoch, Chang was the second major contributor to pandas, CTO/co-founder of DataPad, and a recovering financial quant. Timestamps 00:00 — Storing blobs inline vs. as pointers: the trade-offs02:34 — When you've blown past the bandwidth limit on object storage04:03 — Six months trying to make Spark on Parquet work, and why it didn't06:04 — The moment Chang decided to build something new from scratch07:35 — Why Chang wasn't worried about adding another tool to the AI ecosystem11:34 — Agents are firing 100,000 QPS, and most stacks weren't built for it13:32 — Latency, scale, and the new ceiling for production AI workloads14:54 — Pipelines written by agents, not humans16:12 — From co-authoring pandas to rebuilding the stack on top of it17:27 — Why Chang predicts "multimodal by default" within three to five years19:48 — What Chang is most looking forward to at AI Council Mentioned in this episode LanceDB Blob V2 API and multi-base featureApache Arrow and the future of database integrationThe "hodgepodge tax" — what happens when one customer takes 24+ hours to process a single day of dataClaude Code, Codex, and agent-driven data pipelines-- Mark your calendars for May 12-14, 2026 and join us for AI Council, the technical conference built by engineers for engineers. It's the only event where you'll be able to connect with 1,500+ practitioners for 3  days of technical deep dives, battle-tested architectures and production insights in San Francisco, the heart of the AI world. Visit us at https://aicouncil.com/sf-2026 for the latest updates or subscribe to the newsletter as we release more details about most exclusive AI conference in San Francisco!

    21 min
  3. APR 28

    Ep 34: Q&A with Eno Reyes, Factory: AI agents are shipping your code. Who's checking their work?

    On this episode of the Zero Prime podcast, Pete Soderling sits down with Eno Reyes, Co-founder & CTO of Factory — a software development agent platform that has run missions lasting 14 days straight, with hundreds of agents executing continuously. In this conversation Pete covers: Can you scale AI coding agents without things quietly breaking?Is there an equivalent of a PR for specs?What does developer trust actually require?What will happen to the product manager role?How does the quality story change for data pipelines and infrastructure, where failure modes can be silent?Eno answers all of it from the ground up and shares a few takes: Agent readiness is as much a process investment as a tooling oneThe spec matters, but only as a starting pointWinning developer trust is a UX problem as much as a technical oneThe PM role isn't dying — it's unbundlingData infrastructure is where most teams will get caught off guard firstIf you're building with agents and want a practical, ground-level view of what quality and trust look like at scale — this one's worth your time. -- Mark your calendars for May 12-14, 2026 and join us for AI Council, the technical conference built by engineers for engineers. It's the only event where you'll be able to connect with 1,500+ practitioners for 3  days of technical deep dives, battle-tested architectures and production insights in San Francisco, the heart of the AI world. Visit us at https://aicouncil.com/sf-2026 for the latest updates or subscribe to the newsletter as we release more details about most exclusive AI conference in San Francisco!

    19 min

Ratings & Reviews

5
out of 5
7 Ratings

About

The Zero Prime Podcast with Pete Soderling explores the early stories of top startups as seen through the eyes of their engineer-founders. In each episode we uncover insights on what it takes to start a company as an engineer in the words of the founders themselves. From the most cutting edge infrastructure companies to the newest trends in developer tooling, we introduce you to the engineer-founder personalities behind the up and coming software startups that you can’t afford to ignore.

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