AI Summary
→ WHAT IT COVERS Alex Lieberman and Arman Hezarkhani explain how Tenex pays AI engineers million-dollar salaries by compensating for output rather than hours worked. → KEY INSIGHTS - **Compensation Model:** Pay engineers for story points delivered rather than hours worked to incentivize AI tool adoption and faster output generation without perverse time-based incentives. - **Quality Control:** Use technical strategists incentivized by client retention to review all engineering plans before sprints begin, creating healthy tension against potential story point gaming. - **Hiring Process:** Implement extremely difficult take-home interviews that 50% of candidates abandon, but allow successful candidates to complete the entire interview process within one week. - **Technology Stack:** Use TypeScript front-end and back-end with shared types to enable AI coding agents to iterate autonomously longer through structured error message feedback loops. → NOTABLE MOMENT One engineer rebuilt an entire computer vision system running multiple models on Raspberry Pi devices for retail analytics in just two weeks of prototyping. 💼 SPONSORS None detected 🏷️ AI Engineering, Compensation Models, Software Consulting, Coding Agents