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Introducing Skein and Beaker Stack: Using AI Agent Engineers to Ship SaaS Faster

June 30, 2026 · 50 min

Show notes

In this special episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub discuss Brad's experiment proving that AI can dramatically boost output for teams with strong engineering practices. Brad shares an MIT-licensed open-source SaaS template called Beaker Stack, which includes web and mobile scaffolding, CI/CD for preview/staging/production, automated setup, observability, email tooling, and Stripe-based tiered billing with feature gating. He then uses it to build Skein, a cloud-hosted shared "memory backplane" served via an MCP endpoint that lets multiple AI tools and agents read/write memories with strong security controls and auditing. Brad describes hiring four AI agent "engineers" (Diego, Mei, Rahul, Sarah) with persona "soul files," running them in Nanocloud/Nanoclaw containers for security, coordinating work via Telegram and GitHub, and applying spec-driven, test-heavy guardrails to ship Skein in about 10 days of part-time work. Scott asks questions about Brad's process, and the two hosts debate how different perspectives effect an engineer's process, be they AI agent or human coworker. A video version of this episode can be found on the How Many CTOs YouTube channel!

00:00 Cold Open 01:05 AI Velocity Thesis 02:16 Shipping SaaS Every Six Weeks 04:37 Beaker Stack Tour 08:11 Meet The AI Engineers 09:52 Agent Workflow And Reviews 12:11 Building Skein Shared Memory 14:45 10 Day Build And Metrics 18:51 How Skein Uses Beaker Stack 24:20 Under The Hood Supabase Vectors 25:50 Admin UI Walkthrough 26:27 Managing Agent Workforce 26:49 Nanoclaw Security Containers 28:59 Telegram Agent Ops 30:32 Agent Personas Backstories 33:31 Thinking Hats Perspectives 37:25 Human Loop Guardrails 41:47 Marketing Distribution Channels 47:18 Factory Vision Rapid Launch 48:46 Wrap Up Credits

Resources

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