Dex Horthy on Ralph, RPI, and escaping the "Dumb Zone"
No se pudo agregar al carrito
Solo puedes tener X títulos en el carrito para realizar el pago.
Add to Cart failed.
Por favor prueba de nuevo más tarde
Error al Agregar a Lista de Deseos.
Por favor prueba de nuevo más tarde
Error al eliminar de la lista de deseos.
Por favor prueba de nuevo más tarde
Error al añadir a tu biblioteca
Por favor intenta de nuevo
Error al seguir el podcast
Intenta nuevamente
Error al dejar de seguir el podcast
Intenta nuevamente
-
Narrado por:
-
De:
When the Ralph autonomous loop was born, Dex Horthy was "in the garden," witnessing the spark that set the AI engineering community on fire. Andrew sits down with the HumanLayer founder to discuss how to escape the "Dumb Zone" by applying his strict RPI (Research, Plan, Implement) methodology - a process that forces agents to generate intermediate design artifacts and align on architectural decisions before writing a single line of code. They also break down the brutal economics of agentic coding, recounting how Dex’s team used autonomous loops to clone six sponsor products overnight at a hackathon.
Follow the show:
- Subscribe to our Substack
- Follow us on LinkedIn
- Subscribe to our YouTube Channel
- Leave us a Review
Follow the hosts:
- Follow Andrew
- Follow Ben
- Follow Dan
Articles & Talks:
- No Vibes Allowed: Solving Hard Problems in Complex Codebases: Dex’s viral talk from the AI Engineer World’s Fair that introduced the "Dumb Zone" concept.
- The AI Vampire: Steve Yegge’s reflection on burnout and agentic economics.
- 12-Factor Agents: Human Layer’s methodology for building reliable agentic systems.
Follow today's guest:
- Website: humanlayer.dev
- Twitter: @dexhorthy
- LinkedIn: Dexter Horthy
OFFERS
- Start Free Trial: Get started with LinearB's AI productivity platform for free.
- Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.
LEARN ABOUT LINEARB
- AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
- AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
- AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
- MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
Todavía no hay opiniones