The AI-Accelerated Incident
Incident Management in the Age of AI
As we lean into AI-assisted coding, the speed of delivery increases alongside the potential for new and complex errors. This 90-minute workshop explores the intersection of Incident Management (IM) and AI-Assisted Development, designed to bridge the knowledge gap and unify the team around maintaining a high bar for reliability.
What might happen when we tackle incidents as we introduce more AI into our software lifecycle?
What are the most important things we can focus on in terms of reliability to increase the chance of success and limiting potential live incidents?
We will move beyond standard process basics to scrutinise how AI can introduce non-deterministic errors, identify specific risks (like "AI-Induced Debt"), and practice high-stakes triage using a real-world-inspired scenario. Through this, the team will build a shared vocabulary and confidence when live incidents happen.
Who is this workshop for?
- Junior & Mid-level Engineers: to learn the "why" behind incident protocols and how to scrutinise AI-generated output.
- Engineering Managers: to understand the trade-offs between delivery velocity and system stability.
- Senior & Staff Engineers: to share mental models of system architecture and calibrate their "smell tests" for AI-coded features.
What you'll learn
Course content
1. Introduction
2. The incident management lifecycle
3. AI: a double edged-sword
4. AI: a double edged-sword
5. Interactive exercise
6. Closing and next steps
Course format
- Workshop can be delivered in person or online via Zoom
- Workshop duration is 90-120 minutes (main difference is the time allowed for the interactive exercise, allowing participants to go deeper)
- Can be delivered to engineering teams
