Engineering

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Product

August 22, 2025

dbt Fusion Support Comes to Dagster

Learn how to use the beta dbt Fusion engine in your Dagster pipelines, and the technical details of how support was added

Colton Padden

August 20, 2025

What CoPilot Won’t Teach You About Python (Part 2)

Explore another set of powerful yet overlooked Python features—from overload and cached_property to contextvars and ExitStack

Dennis Hume

August 8, 2025

Dagster’s MCP Server

We are announcing the release of our MCP server, enabling AI assistants like Cursor to seamlessly integrate with Dagster projects through Model Context Protocol, unlocking composable workflows across your entire data stack.

Colton Padden

August 7, 2025

Untangling Python Packages Part 2

A deep dive into how Dagster leverages pyproject.toml for modern Python packaging, from project metadata and dependencies to build systems and development tooling.

Dennis Hume

July 31, 2025

Untangling Python Packages Part 1

Python's clean syntax makes it easy to jump into unfamiliar codebases, but this simplicity often masks the intricate world of packaging that confuses many developers.

Dennis Hume

July 23, 2025

What CoPilot Won’t Teach You About Python (Part 1)

Advanced Python features that AI agents may miss

Dennis Hume

March 4, 2025

Building with Dagster vs Airflow

Rebuilding Airflow's tutorial in Dagster

Dennis Hume

January 24, 2025

AI Reference Architectures

Guide to the some common AI Architectures patterns with Dagster

Dennis Hume

January 24, 2025

From Prototype to Production: Building AI Products That Scale with Dagster

Modern AI development requires different patterns than traditional software. By combining familiar engineering practices with new approaches for handling the probabilistic nature of AI, teams can successfully scale their AI products into production.