StackPilot - AI On-Call Copilot That Turns Alerts Into Merged Bug-Fix PRs

StackPilot is an AI on-call copilot for software engineering teams that automatically investigates production incidents and drafts a merge-ready pull request with the proposed code fix. The vendor reports that more than 100 engineers use it and that it has auto-fixed over 1,000 bugs at about a 15-minute mean time to resolution.

Core Features

  • Code-aware root cause analysis that cross-references the alert with recent commits and stack traces to pinpoint the faulty code.
  • Auto-generated timeline tracking logs, alerts, deploys, and engineer actions during an incident.
  • Autofix with PR generation: drafts a pull request containing the proposed fix; engineers review and merge.
  • Log query autocomplete suggesting relevant queries from the alert context.
  • Playbook capture that turns investigative steps into reusable runbooks.
  • Two-minute setup connecting GitHub, GitLab, or Bitbucket plus monitoring tools like Datadog, Sentry, and PagerDuty.

Use Cases

  • On-call engineers resolving production bugs far faster than manual triage.
  • Teams wanting automatic, reviewable fixes instead of alert fatigue.
  • Organizations standardizing incident response across Slack, Jira, and PagerDuty.
  • Platforms where every alert should produce a traced, auditable change.

Pricing

StackPilot uses per-seat pricing. A Free plan covers one developer with 10 investigations per month and GitHub integration. The Team plan is $99 per month for up to 10 developers with 1,000 investigations and auto-generated PRs. Enterprise is custom-priced with unlimited users, priority one-hour support, and advanced security and compliance.

Our Take

Best for on-call and platform teams who want incidents to land as reviewed pull requests rather than Slack noise. The trade-off is that you still must review every fix, and deep customization lives in the Enterprise plan. Explore more AI programming tools.

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