Introduces Dagster skills, partitioned asset checks, state backed components, virtual assets, and stronger integrations.
We built a lightweight evaluation framework to quantitatively measure the effectiveness of the Dagster Skills, and these are our findings.
We set out to explain Dagster assets in the simplest possible way: as living characters that wait, react, and change with their dependencies. By designing a children's book with warmth, visuals, and motion, we rediscovered what makes assets compelling in the first place.
Detection isn't the bottleneck anymore. Understanding is. Compass closes the loop by turning Dagster+ operational data into a conversation.
When agents write tests, intent matters as much as correctness. By defining clear testing levels, preferred patterns, and explicit anti-patterns, we give agents the structure they need to produce fast, reliable Pytest suites that scale with automation.
Snowflake handles AI compute while Dagster handles orchestration, observability, and the operational patterns that turn AI experiments into reliable production pipelines.
Learn how Metaxy can be used to build multimodal data pipelines with sample-level granularity on Dagster.