GoDaddy uses AI Agent to generate data pipelines from Slack messages
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The GoDaddy data platform team built the Pipeline Build Agent at the 2026 Hackathon, which can automatically generate PySpark transformations, Airflow DAGs, and dev/stage/prod policy files from a single Slack message, and submit a PR. The team says tasks that originally took 2–4 hours are thus shortened to a few minutes. The team shared the design and usage practices of this Agent; the core change is to turn data pipeline setup from manual multi-step operations into conversational requests that automatically produce and submit code.
AI overview based on source reports · Updated 13 hr ago
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- Hacker News AIAn AI agent for generating data pipelines from Slack requests
GoDaddy's domain data platform team built Pipeline Build Agent, a conversational AI agent on their go-agent-python SDK deployed via Katana that turns a single Slack message into a complete data pipeline, reducing a task that took 2–4 hours to minutes. A manager agent routes intent to a Pipeline Creation Agent (checks S3 schemas, generates PySpark jobs, DAGs, and policy files, opens a PR) or a Column Addition Agent (finds the pipeline, propagates changes downstream, opens a PR), with both querying the Lake Naming Standards knowledge base before generating code. The team enforces one PR per run with update_pr_files as the only correction path, and plans to add Redshift and S3 CSV export destinations plus pre-PR syntax validation.
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