Incident Pit Stop

An F1-inspired Rovo Agent & Jira app that turns incident chaos into a synchronized pit stop, automating Sev-1 protocols in seconds

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What it does

In Formula 1, a pit stop takes 1.82 seconds. Twenty people move in perfect synchronization to change tires and adjust wings because they know that speed wins races.

In Software Engineering, when a Sev-1 Incident occurs, the opposite happens. It is chaos. Engineers are scrambling to find the right Zoom link, creating manual Jira tickets, digging through Bitbucket for recent commits, and asking "Who is on call?"

We asked ourselves: Why can't incident management be as fast and synchronized as an F1 pit stop?

That question inspired Incident Pit Stop, an AI-powered Rovo Agent that acts as your Race Engineer, automating the entire incident protocol in seconds so developers can focus on driving the fix.

What it does

Incident Pit Stop is a specialized Atlassian Rovo Agent that lives inside your IDE and Jira. When a critical bug is reported, developers simply hit the "Panic Button," and the Agent executes a synchronized "Pit Stop":

  1. Detects the Crash: Analyzes the error logs or user report to understand the severity.
  2. Assembles the Crew: Automatically identifies who pushed the recent code changes in Bitbucket that likely caused the issue.
  3. Opens the Garage: Instantly creates a Jira Incident ticket with the correct "High Priority" labels and assigns it to the relevant engineer.
  4. Prepares the Debrief: Generates a Confluence Post-Mortem template pre-filled with the incident details, ensuring documentation isn't forgotten in the heat of the moment.
  5. Guides the Driver: Offers AI-suggested fixes and roll-back strategies based on the commit history.

How we built it

We built Incident Pit Stop using the Atlassian Forge platform, leveraging the power of Rovo Agents.

  • The Engine: We used JavaScript/Node.js on Atlassian Forge to handle the backend logic.
  • The Brain: We configured a Rovo Agent with specialized system prompts to understand DevOps terminology and the "Race Engineer" persona.
  • The Integration: We utilized the Jira REST API to create and manage tickets, the Confluence API to spawn documentation pages, and the Bitbucket API to scan commit history for recent changes.
  • The UI: We used UI Kit 2 to build a clean, accessible interface that fits natively within the Atlassian ecosystem.

Challenges we ran into

  • Context Overload: Teaching Rovo to understand which Bitbucket repo was relevant to the current Jira ticket was difficult. We had to refine our prompt engineering to ensure the Agent could "connect the dots" between code commits and issue tickets.
  • Permission Scopes: Managing the OAuth scopes for three different products (Jira, Confluence, Bitbucket) simultaneously in the manifest.yml was a tricky balancing act.
  • The "Human in the Loop": We wanted automation, but not blind automation. Designing the UX so that the human engineer still presses the final "Confirm" button (like a driver acknowledging a radio call) was a key design challenge.

Accomplishments that we're proud of

  • End-to-End Automation: We successfully connected the "Holy Trinity" of Atlassian tools (Jira, Confluence, Bitbucket) into a single, fluid workflow triggered by one click.
  • The Persona: We successfully gave the Agent a personality. It doesn't just "process tasks"; it acts as a supportive Race Engineer, which reduces stress during high-pressure incidents.
  • Deployment: We managed to deploy a fully functioning Forge app to Production in under 48 hours.

What we learned

  • Agents > Chatbots: We learned that Rovo Agents are far more powerful than standard chatbots because they have context. They know your codebase, your tickets, and your documentation.
  • Process is Product: The best tools don't just write code; they fix processes. We learned that saving 10 minutes of administrative work during an outage is worth gold to a business.

What's next for Incident Pit Stop

  • Slack/Teams Integration: We want the Agent to automatically spin up a "War Room" channel and invite the relevant engineers.
  • Predictive Telemetry: Using AI to predict an incident before it happens based on "wobbly" code commits (just like F1 telemetry predicts tire failure).
  • Mobile Pit Wall: A mobile version of the app for Engineering Managers to monitor incident status on the go.
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