IncidentPilot detects Sentry alerts, investigates root causes, creates GitHub PRs, and posts updates in Slack — automatically, while your team keeps shipping.
NullPointerException
checkout-service · prod
Commit a4f2c91 introduced null return in CartService
2h ago · @mikek
fix: null check in CartService
#1247 · awaiting review
No new tools to learn. IncidentPilot plugs into the tools your team already uses.
Sentry
Incident Detection
IncidentPilot listens to your Sentry webhooks in real time. The moment an error threshold is crossed, investigation begins automatically — no manual intervention needed.
GitHub
Code Intelligence & PR Creation
IncidentPilot correlates incidents with recent commits, pull requests, and deploy history. It creates a fix PR with full context — ready for your team to review and merge.
Slack
Team Notifications
Your team gets a rich Slack message with incident context, root cause summary, and a link to the generated PR — no inbox noise, just the signal that matters.
A fully automated pipeline that handles the investigation so your engineers don't have to.
A production error crosses your alert threshold. Sentry fires a webhook to IncidentPilot with full event context, stack trace, and affected release.
The AI agent parses the stack trace, queries the Sentry API for event history, fetches recent commits and pull requests from GitHub, and correlates the incident with code changes.
Using the gathered context, the AI produces a structured root cause analysis — identifying the responsible commit, code path, author, and suggested remediation.
A fix PR is opened on GitHub with the RCA as the description. Your team receives a Slack message with incident summary, root cause, and a direct link to review and merge.
Built for high-velocity engineering teams that can't afford to lose hours to manual investigation.
IncidentPilot evaluates every incoming Sentry alert, deduplicates noisy events, and prioritizes incidents by severity — no engineer attention needed until it matters.
AI-generated analysis that connects stack traces to recent code changes, identifies the responsible commit, and explains the failure in plain English.
IncidentPilot automatically creates a pull request with the suggested fix, a full RCA description, and links to the related Sentry issue and investigation log.
Rich Slack messages with incident context, root cause summary, PR link, and @mentions for the responsible team — delivered the moment investigation completes.
Smart deduplication and alert grouping means your team only sees unique incidents. Repeated errors are tracked silently and surfaced only when frequency spikes.
IncidentPilot prepares the fix but never merges autonomously. Engineers review the analysis, validate the PR, and approve — keeping humans accountable for every change.
IncidentPilot identifies who owns the affected code using Git blame and CODEOWNERS, then routes the investigation and PR review to the right team automatically.
By automating investigation and fix preparation, IncidentPilot cuts mean time to resolution from hours to minutes — even for complex multi-service incidents.
IncidentPilot isn't just an alert forwarder. It's a full autonomous investigation agent that turns raw Sentry noise into actionable GitHub PRs — before your engineers even open Slack.
<60min
Time to first PR
87%
MTTR reduction
0
Manual triage steps
∞
Incidents handled in parallel
Traditional incident response requires an engineer to context-switch, read stack traces, check recent changes, and form a hypothesis. IncidentPilot does this in seconds.
IncidentPilot handles first response automatically. Engineers are only paged when human judgment is genuinely required — review and approve, don't investigate.
Incidents no longer interrupt sprint cycles. Your engineers stay in flow, shipping planned work while IncidentPilot handles investigation in the background.
Every incident gets a structured root cause analysis stored automatically. Build an institutional knowledge base of failure patterns without any manual effort.
From alert to merged fix: IncidentPilot compresses the entire response loop. No context gathering, no manual RCA writing, no waiting for the right person to be online.
IncidentPilot sits between your observability and code tools — connecting the dots automatically.
Sentry
Error monitoring
IncidentPilot
AI Agent
GitHub
Code & PRs
Slack
Team alerts
Detects exceptions, threshold breaches, and regressions in production.
Orchestrates the full investigation pipeline using AI and API calls.
Receives commit queries and gets a generated PR for the identified fix.
Receives rich incident summaries and PR review links for the team.
Join the teams already using IncidentPilot to cut MTTR, protect feature delivery, and eliminate the on-call nightmare of manual incident investigation.