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.
Watch now
Watch now
How to Build an AI Technical Lead
How to Build an AI Technical Lead
Webinar
Speakers
Sebastian Maniak
Principal Solutions Architect & Token Billionaire
Sebastian Maniak is an AI Architect at Solo.io, where he focuses on go-to-market for AI connectivity — agent gateways, LLM security, and the infrastructure that makes agentic systems deliverable, secure, and operable in the enterprise. He is also a professor of network and cybersecurity at Sheridan College, teaching Applied Network Security and Infrastructure as Code. He brings more than two decades of experience in application delivery, security, and automation — from F5, Fortinet, and HashiCorp through cloud-native service mesh and API platforms — and now applies that same delivery-and-control mindset to Enterprise AI. Over his career he has worked across architecture, consulting, product, education, and content, which gives him a broad generalist’s view of how technical platforms actually get adopted.
