dltHub: dlt made agents good at building pipelines. Now they're safe enough to run for your whole team.
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dltHub is an AI-native data engineering platform that extends the open-source dlt library with managed infrastructure, team workspaces, and agentic tooling. Key features include an AI Harness giving coding agents (Claude, Cursor, Codex) skills to build, deploy, fix, and maintain data pipelines; agentic alerts that diagnose and surface fixes for pipeline failures as reviewable PRs; team workspaces with staging/production separation, Git-based deployments via GitHub/GitLab Actions, and workspace-scoped API keys; and managed infrastructure with instance sizing declared in Python code, no Airflow or Kubernetes required. The platform targets data teams of 2–10 engineers serving 10+ analysts in regulated industries like pharma and financial services, pricing by pipeline usage rather than per seat.
