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His team let the AI handle Sentry alerts in Slack for three months

An engineer at Sumasate writes that his team connected the AI Tag to GitHub, Sentry, their database, log tools and Notion, and let it do the first look at every alert in Slack. After three months, fixes finished inside alert handling went from about 2 of 38 alerts a month (5.3 percent) to about 7 of 44 (15.9 percent).

How it works

  1. Connected the AI Tag in Slack to GitHub, Sentry, the database, log and monitoring tools, and Notion, Wrote skills for alert handling, database work, log checks and filing backlog tickets, Duty engineer mentions the AI on the alert thread and asks it to investigate, Engineer checks the report, then has the AI raise a fix pull request or file the backlog ticket

Why it’s worth knowing

The agent does not just sum up alerts. It pulls the data, judges urgency, and the team lets it raise the fix, so three times as many alerts end in a finished fix.

Where it’s from

Summarized from a public post on zenn.dev. See the original ↗

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