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

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. 

Vivek Raghunathan, SVP of Engineering @ Snowflake, joins the Engineering Leadership Community Podcast to discuss all things AI – most importantly, how Snowflake is utilizing AI internally to iterate faster with smaller, focused teams. Vivek shares how AI and lower coding costs ultimately help Snowflake implement tighter feedback loops between customer & eng teams to speed up product development rollout and how Snowflake empowers their orgs to upskill when it comes to AI. Jerry & Vivek also break down what quality leadership looks like across the board and the role of AI in shaping today’s eng leaders. 

Artificial intelligence is transforming how organizations prepare for, respond to, and recover from critical events. As AI capabilities continue to evolve, leaders are exploring how to harness its potential while maintaining the human oversight essential for effective decision making. This session will examine the practical role of AI in modern incident response, separating hype from reality. Attendees will learn where AI can provide meaningful value, including decision support, threat analysis, and reducing alert fatigue, as well as where human expertise remains indispensable. We will discuss the balance between machine generated recommendations and human judgment, explore real world use cases, and highlight best practices for integrating AI into critical event management workflows. Join us to discover how organizations can leverage AI to improve situational awareness, accelerate response times, and make more informed decisions during high pressure incidents while keeping people at the center of the process. Key Topics: - What AI can and cannot do during critical events - AI assisted decision support - Reducing alert fatigue - Human judgment vs. machine recommendations If you're interested in exploring moderizing your incident response, you can try xMatters https://www.xmatters.com/

Russ d’Sa (CEO & Co-founder @ LiveKit) joins the show to deconstruct the "Product Paradigm Shift" toward voice-driven interfaces and agent-centric UX . We dive into LiveKit’s high-stakes scaling lessons: from powering OpenAI and Character AI’s voice mode, how they navigated real time bottlenecks to hit the next level of scale, the architectural necessity of a multi-cloud strategy, and the foundations of a co-founder relationships that can effectively blend engineering & business strategy.

As AI agents move past the “works on my machine” stage, the true challenge is equipping them with reliable, structured access to complex enterprise systems. Without it, AI agents are certain to be ineffective at enterprise scale. This session walks through how to evolve a data platform into a robust, agent-ready platform. We will focus on practical design patterns that make agents truly usable in real production environments. Key Takeaways: - Discover the architecture behind this transformation, including the use of a semantic layer, knowledge graph principles, and MCP-based tool abstractions. - Learn why structure, not just models, is the essential component for enabling reliable reasoning, robust governance, and seamless cross-system workflows. This webinar is designed for engineers and engineering leaders ready to move AI agent proofs-of-concept into secure, enterprise-scale production.