Webinar

How to Build an AI Technical Lead

Platform and engineering teams are drowning in signals: logs, alerts, incidents, and half-formed Slack threads that never quite turn into action. What if your technical lead could work 24/7, spot issues early, help troubleshoot, and automatically create Jira tickets with real context?

In this webinar, we’ll walk through how to build an AI-powered technical lead agent that acts as a force multiplier for engineering teams. You’ll see how the agent identifies problems, assists with root-cause analysis, and turns findings into actionable Jira tickets without human babysitting:

Design an AI technical lead agent that continuously monitors systems and signals
Detect and prioritize issues using alerts and real context
Assist engineers with troubleshooting and root-cause analysis
Automatically generate high-quality Jira (or other apps?) tickets with the right details and ownership
Integrate the agent into existing workflows without disrupting uptime or teams

By the end, you’ll have a concrete blueprint for turning AI agents into trusted technical leaders on your team.

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How to Build an AI Technical Lead

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