Research

From ancient myths of automatons to the Transformer age, this is the story of how we taught machines to think. We’ll dive deep into the key breakthroughs - the Perceptron, Backpropagation, and the Attention mechanism—with clear, intuitive explanations of the math that powers them. A critical look at where AI came from, how it really works, on it’s dangers from Prompt Injection to Vibe Coding and where it’s headed next.

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.

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.

Dig into materialization metadata, inline visualizations, and best practices for asset observability using Dagster.

In this post, we build asset runs that respond to new data - using sensors, config-driven logic, and DuckDB-powered ad hoc reports.

Learn how to make your pipelines smarter by slicing them into manageable, date-based partitions and handling backfills like a pro.

Dagster finally earns its “orchestrator” title - this part dives into jobs, asset selection, cron expressions, and how to wire everything into automated schedules.

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.

How Dagster uses Definitions and Code Locations to scale cleanly across teams, assets, and environments.

Learning to wire assets together, load data into DuckDB, and build heatmaps with real NYC taxi data.