DEVOPS
Track weekly bundle-size drift on main and alert on creep
On a weekly schedule, measures the production bundle on the main branch, appends the data point to a BigQuery trend table.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionBuild main and measure bundle sizeShell
- ActionAppend measurement to BigQuery trend tableBigQuery
- LogicCompute creep vs rolling 8-week average
- OutputPost trend report to SlackSlack
What it does
Merge gates catch big jumps but miss the slow leak: dozens of PRs each adding a few kilobytes. This flow records the main-branch bundle size every week into a time-series table and reports the trend, so a 30% creep over a quarter becomes visible long before it hurts.
When to use it
Use it alongside a per-PR gate when you want a longitudinal view of bundle health. It's the dashboard-feeding companion that answers "are we getting heavier over time?" without anyone manually checking.
How it works
- 1A weekly schedule trigger fires (for example, Monday morning).
- 2A shell step checks out main, builds, and captures the gzipped bundle size plus the per-chunk breakdown.
- 3An action appends the measurement as a row in a BigQuery trend table keyed by date and commit SHA.
- 4A logic step compares this week against the rolling 8-week average to compute creep percentage.
- 5A Slack message posts the trend, the week-over-week delta, and a callout if creep exceeds the warning band.
Set it up
What you configure once, before turning it on.
- 1Connect ShellRun sandboxed commands inside the workspace.
- 2Connect BigQueryDatasets, queries, schemas.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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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