+18 more pipelines, moved one at a time
dltHub platform
Schema evolution, observability, and a runtime that ships to production, with a context layer your agent reads and writes.
Dashboards
Your existing dashboards and warehouse, fed by pipelines you now own.
Airbyte → dltHub is a vendor migration: it moves you off managed connectors that break when a column changes, without giving up coverage. Whether you run Airbyte hosted or self-host the OSS version, the pipelines become code you own on a runtime that ships to production.
LLM-native tooling does the work that used to require senior engineers. Reading the old pipelines, mapping the schemas, rebuilding the logic, and validating the output are codified into skills an agent runs, overseen by the engineers you already have. A senior-only, multi-month project becomes weeks of work at a fraction of the cost.
dlt is the match between standardization and customization: the standardization of a managed tool with the customization of code you own. It has standardized 90% of data engineering tasks in Python code, in a way LLMs can understand and humans can still maintain.
You land on dltHub: a persistent context layer that captures schemas, lineage, traces, and runtime state in one place your coding agent can read from and write to. It ships with agent configs for Claude, Codex, and Cursor.