Causal inference for LLM-based features starts with one question editors ask before they ship anything: Did the change actually move the metric, or did the metric just move? Let’s say that your team built a routing layer that splits incoming queries between two models: queries with a confidence score below 0.85 go to a premium […]
Author Archives: admin @ SiBM
Live options analytics change constantly. Implied volatility shifts, Greeks drift, and the shape of the surface can look different even a few minutes later. But a lot of teams still treat these numbers like something you glance at once. A screenshot in a deck. A one-off notebook cell. A quick check in a UI before […]
If you’ve been running Terraform on AWS for any length of time, you know the setup: an S3 bucket for state storage, a DynamoDB table for state locking, and a handful of IAM policies tying them together. It works. It has worked for years. But it has always carried a cost that rarely gets discussed […]
If you’ve ever wrestled with Makefile syntax, fought tab-versus-spaces bugs, or tried to make a build system work across Linux, macOS, and Windows, SCons is worth your attention. It replaces Make, autoconf, and automake with a single tool where every build file is a real Python script. This handbook walks through SCons from first principles. […]
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 […]
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 […]
Every year, National Supply Chain Day highlights the invisible engine that powers the global economy. From raw materials to finished products, supply chains move trillions of dollars in goods across continents, industries, and infrastructures. Yet despite its scale, the supply chain has historically suffered from one persistent challenge: lack of visibility. Powered by WPeMatico