Engineering Insights

The Data Canary: How Netflix Validates Catalog Metadata

Data Projects: Managing Data Assets at Netflix Scale

Predicting Risk in Content Launches: How Data-Driven Insights can Transform Launch Planning

The Evolution of Cassandra Data Movement at Netflix

Thinking Fast & Slow for a Personalized Notification System

A Human-Augmenting Agentic Workflow for Causal Inference

One command for 13 AI coding-assistant context files

Every AI coding tool wants a file describing your project. Claude Code reads CLAUDE.md. Cursor reads .cursor/rules. Then there's AGENTS.md, GEMINI.md, Copilot instructions, Aider's CONVENTIONS.md, Windsurf, Cline, Continue, Kilo Code, Trae, Junie, Warp... Same content, a dozen names and formats. Maintaining them by hand is busywork, and the second your stack changes they're stale. npx @horiastanxd/claude-init It analyzes the repo once - language, framework, package manager, scripts, file tree,

Kubernetes Observability

Originally published on lavkesh.com I've found that Kubernetes observability is a unique beast, different from monitoring your application, you're dealing with infrastructure, workloads, and the cluster itself, but fortunately the tooling has come a long way so you don't have to start from scratch Prometheus is the de facto standard for Kubernetes, its pull model fits naturally with Kubernetes service discovery, you add annotations and Prometheus automatically finds your pods, no manual configur