DATA OPS
AI Schema-Drift Impact Analysis to Linear Issue
When a Snowflake schema change is detected, an agent traces which dbt models and downstream queries reference the affected columns, writes a plain-English impact summary.
How it runs
The automated pipeline, trigger to output.
- TriggerSchedule triggers drift check
- ActionQuery Snowflake schema and diff against contractSnowflake
- ActionPull referencing SQL and model files from GitHubGitHub
- LogicAgent reasons over diff and dependencies for impact
- OutputOpen prioritized Linear issue with impact summaryLinear
What it does
Goes beyond detecting drift to explaining its blast radius. When a tracked Snowflake table changes, an agent gathers the column diff plus the repository's model and query definitions, reasons about which downstream assets reference the changed columns, and produces a written impact assessment. It then files a Linear issue with a suggested priority so the migration gets scheduled, not forgotten.
When to use it
Use it when raw "column X changed" alerts aren't actionable on their own and someone has to manually grep the codebase to figure out what breaks. The agent does that triage and hands engineers a ready-to-scope issue.
How it works
- 1A schedule triggers the drift check.
- 2Snowflake is queried for the current schema of tracked tables and diffed against the contract.
- 3If drift exists, the agent pulls referencing SQL and model files from GitHub for context.
- 4The agent reasons over the diff and dependencies to write an impact summary and severity.
- 5It opens a Linear issue with the summary, affected assets, and proposed priority.
Set it up
What you configure once, before turning it on.
- 1Connect SnowflakeWarehouses, queries, shares.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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