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Many organizations are exploring how AI can improve incident response, but turning a promising pilot into a reliable production workflow requires more than technology alone. Engineering leaders must identify the right use cases, integrate AI into existing processes, build trust with on call teams, and demonstrate measurable operational value. Sponsored by Everbridge xMatters, this webinar will feature Sean Rousseau, Director of Product Management, who will explore how organizations can move beyond experimentation and apply AI to real incident response workflows without introducing unnecessary complexity or risk. Discussion topics will include: - Choosing the incident response use cases where AI can deliver the greatest value - Moving from isolated pilots to reliable, repeatable production workflows - Building trust and encouraging adoption among on call teams - Measuring impact through response time, alert fatigue, responder workload, and operational efficiency - Determining when to scale, adjust, or stop an AI initiative
# Roundtable
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In this episode, Pooja Brown (Founder @ Inventry.ai) shares her insights on balancing being a founder & technologist, especially within the mid-market manufacturing industry. We cover why founders need to lead with curiosity as they seek out customer problems to solve, strategies for solving complex problems related to supply chain, and strategies for selling your products. Pooja also dissects important fundraising tactics, how to identify areas that AI tooling can enhance within your business, reading customer signals, and bolstering your engineering skills by leveling up business capabilities.  
Many engineering teams know their incident management processes need to evolve—but replacing everything at once isn’t realistic. In this session, we’ll explore practical ways to modernize your incident response without disrupting the tools and workflows your teams rely on today. Join us as we discuss the warning signs that your current process is limiting growth, how to balance standardization with flexibility, and the first improvements successful engineering organizations make as they scale from startup operations to enterprise-grade resilience. Discussion topics: - Signs your incident process is holding you back - Standardization vs. Flexibility - Scaling from startup processes to enterprise operations - What successful engineering orgs modernize first
# Roundtable
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# Roundtable
# Engineering Leadership
# AI
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AI features don't behave like static software. The prompt, model, or threshold that works today may not work tomorrow, and most teams have no way to change it without a full redeploy. Join us for a live demo of AI Configs, Harness's answer to controlling AI behavior with the same discipline you apply to feature releases: progressive rollout, experimentation, and kill switches, all governed by the same pipeline as the rest of your delivery process. What you'll take away: - Why hardcoded prompts and models create hidden release risk, and why AI behavior needs the same governance as any other production change - How to adjust AI behavior at runtime (prompts, models, routing) without a redeploy, and propagate that change globally in under a minute - How progressive rollout and experimentation let you validate AI behavior with real users before committing to it broadly - How kill switches and rollbacks give you an instant safety net when AI behavior drifts - How to close the governance gap between the code your teams ship and the AI they run, all through one pipeline
# Webinar
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In this episode, Sergiy Nesterenko (CEO @ Quilter) joins the pod to share how he turned a personal technical challenge into his own company, even before the market caught up. He shares his unique journey from SpaceX to Quilter and addresses common eng leader / founder challenges, including taking critical feedback to solve tough technical problems, knowing when your most important role is educating the market / customers, and choosing the right customers. Sergiy and Jerry also dissect insights into principles around building circuit boards, and common misconceptions around hiring top-tier talent, finding investors, and procuring customers as an early-stage company. 
Tomas Reimers, Co-Founder & CPO @ Graphite, reveals his journey to becoming a founder and some of the major moments from Graphite’s product development story. He dissects frameworks for determining when it’s time to quit your full-time job to pursue becoming a founder and analyzing the costs vs. benefits of that decision. We cover how to decide what customer problems to solve, understanding how software development trends impact what you’re building, and product market fit and selling considerations. Lastly, Tomas shares valuable strategies when it comes to selling to developers. 
A quarterly signal map of what engineering leaders are noticing, questioning, and practicing - including both AI-driven change and the enduring organization, culture, and leadership work underneath it.
# Leadership
# AI
# Trust
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