Zach Lloyd is the co-founder and CEO of Warp, an AI-powered terminal and software factory platform used by tens of thousands of engineers. Before Warp, he spent nearly a decade at Google, including time as a principal engineer on Google Sheets. He built Warp from the ground up as a modern, AI-native alternative to legacy terminals, and the team has since expanded into software factories: a full cloud-based system that takes an idea in Slack all the way through to a merged PR.
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In this episode:
- Why a software factory is more than a coding agent
- The public Slack → Linear → GitHub → QA workflow
- Human interactions per PR as a signal of automation and throughput
- Why human review is still the bottleneck
- Scoring agent runs, finding failure modes, and self-improving agent workflows
- Replaying real tasks to choose model cost and quality tradeoffs
- CEO workflows with Figma MCP, Granola, and research agents
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In this episode, we cover:
([00:00](https://www.youtube.com/watch?v=4_SHhSMHzNo)) Intro
([02:35](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=155s)) Warp’s AI software factory, Wilson
([09:23](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=563s&pp=0gcJCWMAwfN6Pr3D)) Automatic factory triggers
([11:12](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=672s)) The engineering leader dashboard Zach wishes he’d had
([15:18](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=918s)) How code review is changing in an AI factory
([17:08](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=1028s)) Tracking cost per PR across model configs
([18:47](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=1127s)) Using LLM-as-a-judge to score every agent run
([20:02](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=1202s)) Catching redundant tests
([22:19](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=1339s)) How the factory self-improves from failed runs
([26:03](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=1563s)) Quick recap
([28:33](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=1713s&pp=0gcJCWMAwfN6Pr3D)) Building a cost-quality Pareto chart for model selection
([31:35](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=1895s)) How Zach uses AI for non-technical CEO work
([32:10](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=1930s)) Figma MCP demo
([35:43](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=2143s)) Granola MCP demo
([36:41](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=2201s)) GOG CLI demo
([38:20](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=2300s)) Thinking in parallel tasks instead of sequential ones
([40:42](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=2442s)) Zach’s prompting strategy for factory tasks
([44:48](https://www.youtube.com/watch?v=4_SHhSMHzNo&t=2688s)) Where to find Zach
Tools referenced:
• Warp (AI terminal and software factories): [https://warp.dev](https://warp.dev)
• Warp Factories: [https://warp.dev/factories](https://warp.dev/factories)
• Linear (project and issue tracking): [https://linear.app](https://linear.app)
• GitHub (version control and PR management): [https://github.com](https://github.com)
• Slack (team communication and factory input layer): [https://slack.com](https://slack.com)
• Sentry (crash reporting and automated issue triggers): [https://sentry.io](https://sentry.io)
• Figma (design, used via Figma MCP): [https://figma.com](https://figma.com)
• Granola (AI meeting notes and MCP integration): [https://granola.so](https://granola.so)
• Grok Bot (fast inference, cost/quality trade-off): [https://x.ai/bot/guides/grok-bot-101](https://x.ai/bot/guides/grok-bot-101)
Where to find Zach:
X: https://x.com/ZachLloydTweets
Where to find Claire:
ChatPRD: [https://www.chatprd.ai/](https://www.chatprd.ai/)
Website: [https://clairevo.com/](https://clairevo.com/)
LinkedIn: [https://www.linkedin.com/in/clairevo/](https://www.linkedin.com/in/clairevo/)
Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].