Incident Response with AI: Vercel + GitHub + Slack

Deployment fails. Claude reads the Vercel logs, creates a GitHub issue with the error details, and notifies #engineering. All three steps happen in sequence — and only the Slack post needs your approval.

When a deployment fails, the first 10 minutes matter most — reading logs, identifying the error, filing a ticket, and notifying the team. Claude can run the first three steps autonomously. The Slack notification — the one that goes to your whole team — is the one that needs your eye before it sends.

The Incident Response Pipeline

Vercel logsGitHub issueYou approveSlack alert

Permission Configuration

Vercel

View deployment logsAllowed

Check deployment statusAllowed

Trigger buildsOff

Incident response is read-only on Vercel

Modify env vars or settingsOff

GitHub

Read existing issuesAllowed

Create issuesAllowed

Core of the workflow — file the ticket immediately

Merge PRs or trigger ActionsOff

Slack

Read #engineering channelAllowed

Post to #engineering or #incidentsApproval Required

Team-visible — review before it goes out

DM to youAllowed

Private status updates can flow freely

The Incident Response Prompt

"The latest Vercel deployment just failed. Read the deployment logs, identify the error, and do the following: 1) Create a GitHub issue titled 'Production deployment failure — [date]' with the error details and relevant log lines. 2) Draft a Slack message for #engineering summarizing the incident and linking the GitHub issue. Present the draft for my approval before posting."

What Claude Does at Each Step

Read Vercel logs

Executes immediately. Claude parses the build output, identifies the failing step, and extracts the relevant error message.

Create GitHub issue

Executes immediately. Files a structured issue with: error summary, failing log lines, deployment ID, timestamp, and suggested next steps.

Draft Slack message

Creates a clear, concise incident alert: what failed, when, link to the GitHub issue, current status.

Present for approval

You see the draft Slack message before it goes anywhere. Edit the wording, add context, or deny if it's not ready.

Post to Slack

Only after your approval. The team gets one clear message, not a stream of half-formed alerts.

What to Do If Claude Misreads the Error

AI can misidentify root causes — it reads the log output, not the deployment infrastructure. Two things to keep in mind:

GitHub issue creation is low-risk to get wrong. If Claude's diagnosis is off, edit the issue directly — it's just a ticket. The error log lines it included are still accurate even if the root cause summary isn't.
The approval gate on Slack is exactly for this. Before the team sees the incident summary, you read it. If Claude's diagnosis looks wrong, edit the Slack draft to note "investigating root cause" rather than stating a specific cause.

Extending the Workflow

Once the basic pipeline is working, common extensions:

Add Neon

If the failure involves database errors, Claude can also check Neon branch status and connection health

Add PagerDuty/Notion

Log the incident to Notion for post-mortem tracking alongside the GitHub issue

Logs Read. Issue Filed. Team Notified.

AI-assisted incident response that gets the first 10 minutes right — without sending anything to the team before you've reviewed it.

Stow Security Team

April 19, 2026