{"schema_version":"onlylabs.public_signal.v1","title":"Snowflake (Arctic) Writing: How Snowflake Built an Agent to Fix Broken Data Pipelines","description":"Snowflake (Arctic) writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/3c923c86-f367-45c5-9663-6e96ff26aa01","json_url":"https://onlylabs.fyi/signals/3c923c86-f367-45c5-9663-6e96ff26aa01/signal.json","generated_at":"2026-10-25T01:34:14.920Z","evidence_latest_fetched_at":"2026-10-19T20:02:57.657332+00:00","signal_first_seen_at":"2026-10-19T20:00:49.141932+00:00","org":{"slug":"snowflake","name":"Snowflake (Arctic)","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/snowflake","dossier_json_url":"https://onlylabs.fyi/labs/snowflake/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/3c923c86-f367-45c5-9663-6e96ff26aa01","signal_json":"https://onlylabs.fyi/signals/3c923c86-f367-45c5-9663-6e96ff26aa01/signal.json","source":"https://www.snowflake.com/content/snowflake-site/global/en/blog/ai-agent-fixes-data-pipeline-failures","lab_dossier":"https://onlylabs.fyi/labs/snowflake","lab_dossier_json":"https://onlylabs.fyi/labs/snowflake/dossier.json","analysis":"https://onlylabs.fyi/analysis/snowflake","analysis_json":"https://onlylabs.fyi/analysis/snowflake/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/snowflake/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Snowflake (Arctic) published How Snowflake Built an Agent to Fix Broken Data Pipelines. 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They dug through logs, traced the root cause, wrote a fix, tested it and opened a pull request (PR). Then they did it all again the next night. Today, an agent runs that script for us. It investigates every monitored pipeline failure we have and goes from incident detection to a ready-to-review PR in under 16 minutes on average. Here's how we built it and what it changed for our team. The problem that kept getting worse I'm a data scientist on Snowflake's internal data team, and I've watched our pipeline count grow from something one person could reason about to something genuinely overwhelming. More pipelines sounds like a good problem: more data, more value. 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