Dev Interrupted

How leaders win over their team’s biggest AI skeptics | Superhuman’s Loic Houssier


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Forget top-down mandates. How do you foster organic AI adoption on a skeptical, high-performing engineering team? Loic Houssier, Head of Engineering at Superhuman, joins us to share how he did just that. He explains his strategy for overcoming cynicism, which involved leveraging a highly respected internal champion, the Chief Architect, to re-evaluate the tools and prove their potential was no longer just buzz.

Discover his team's biggest, unexpected productivity gains: dramatically faster ramp-up times on new codebases and the rapid creation of valuable internal tools, rather than just raw code generation speed. Loic details Superhuman's pragmatic, high-trust approach to measurement, blending qualitative feedback with simple signals like PR labels. He explains how they fostered this adoption with a bottom-up "AI Guild," empowering engineers of all seniorities without a heavy-handed mandate. He also reveals a stunning real-world example where AI turned a potentially days-long compliance task into a 90-minute win. This episode is a practical playbook for building genuine, bottom-up AI adoption.

Get the guide: AI productivity guide for engineering leaders

Follow the hosts:

  • Follow Ben
  • Follow Andrew

Follow today's guest(s):

  • Connect with Loïc Houssier
  • Learn more about Superhuman: superhuman.com
  • Superhuman was acquired by Grammarly: Read about the acquisition

Referenced in today's show:

  • Amazon brain drain finally caught up with AWS
  • Claude Skills are awesome, maybe a bigger deal than MCP 
  • How to Say No
  • The Field Guide to AI Slop

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  • 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.
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