
Research
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More to Go: Clean Code & Core Concepts
A hands-on walkthrough of Go’s core building blocks — arrays, slices, loops, functions, structs, and maps — explained with performance in mind. No fluff, just clarity. -
Why Go? A Hacker’s First Dive into Golang
Ever wondered why Go keeps popping up in modern toolchains and cloud-native stacks? Here’s a hands-on dive into the syntax, philosophy, and quirks of Golang — written from a hacker’s point of view. -
Data Engineering With Dagster – Part Four: Resources, DRY Pipelines, and ETL in Practice
A deeper look at how Dagster handles reusable components like API clients and cloud connectors through resources - with best practices and cookie metaphors baked in. -
Data Engineering With Dagster - Part Three: Definitions and Code Locations
How Dagster uses Definitions and Code Locations to scale cleanly across teams, assets, and environments. -
Data Engineering With Dagster - Part Two: Dependencies, DuckDB, and Geo Heatmaps
Learning to wire assets together, load data into DuckDB, and build heatmaps with real NYC taxi data. -
Data Engineering With Dagster - Part One: A Fresh Take on Orchestration
A student-hacker’s perspective on learning data engineering with Dagster: asset-centric thinking, orchestrator basics, and setting up the mental model.