Consulting is becoming software.

dltHub launches four Migration Blueprints to help data teams move their pipelines to dltHub from Python scripts, dlt, Fivetran, and Airbyte. The pitch is that LLM-native tooling (Claude, Codex, Cursor) combined with dltHub's persistent context layer reduces what used to be multi-month, senior-engineer-heavy migration projects to weeks of work at a fraction of the cost. The post argues that ETL vendors like Fivetran are pricing renewals as if migration is too expensive, and that dlt sits between raw Python flexibility and managed-connector standardization. dltHub adds a persistent context layer capturing schemas, lineage, traces, and runtime state so AI agents can reason about pipelines more effectively than with ad-hoc prompting.