Today Quincy Larson interviews Rachel An Fernandez. She’s a computer science student at Stanford and the youngest instructor at the entire university. She recently helped organize TreeHacks, Stanford’s annual hackathon, which narrowed 15,000 applicants down to just 1,000 participants. They built projects over a single weekend and competed for a million dollars in prizes. Rachel […]
Daily Archives: May 2, 2026
Every product experimentation team running causal inference on LLM-based features eventually hits the same wall: when users click “Try our AI assistant,” the volunteers aren’t a random sample. Your product shipped a new agent mode last quarter. Users have to tap the “Try agent mode” toggle to enable it. The dashboard numbers look stunning: agent-mode […]
Building a single AI agent that answers questions or runs searches is a solved problem. A handful of tutorials and a few hours of work will get you there. What most tutorials skip is the engineering layer that comes next: the part that makes a multi-agent system reliable enough to run in production. How do […]
You’ve completed three AWS courses. You have notes from a dozen Docker tutorials. You know what Kubernetes is, what CI/CD means, and you can explain Infrastructure as Code without hesitating. And yet the applications go out, and nothing comes back. This is one of the most frustrating experiences in tech. You’re genuinely learning, genuinely putting […]
In today’s digital world, spam is no longer just an annoyance – it’s a growing security threat. To combat this, developers often turn to machine learning to build intelligent filters that can distinguish legitimate emails from malicious ones. While building a machine learning model in a notebook is relatively straightforward, the real challenge lies in […]