Learn how progressive delivery enhances software release safety

Are you truly measuring the impact of your AI investments in software development? While AI coding assistants are a game-changer for productivity and code quality, many organizations struggle to quantify their true value. Without a clear measurement framework, you can't optimize your AI strategy or justify the return on investment. Join Nathen and PB for a practical, data-driven webinar on how to measure and maximize the benefits of AI in your development pipeline. Drawing on real-world insights, you'll learn how to go beyond basic adoption metrics and measure what truly matters. In this webinar, you will discover how to: Establish a baseline: Understand your team's current performance before you implement AI. Track what matters: Identify and measure key metrics like development velocity, code quality, and developer satisfaction. Compare and analyze: Use a proven cohort-based methodology to compare AI-assisted teams with traditional workflows. Get a holistic view: Balance quantitative data with qualitative insights to build a complete picture of AI's impact. Learn how Harness Software Engineering Insights—built in collaboration with Google Cloud—provides the comprehensive framework you need to make informed, data-driven decisions and drive lasting improvements in your software delivery.

In this information-packed Tech Talk, veteran technology journalist John K. Waters talks with AI innovation leader Pranav Rastogi about how teams are moving beyond code generation to smarter testing, streamlined deployment, and continuous security—all while staying within enterprise guardrails.

In this practical session, you'll learn how Infrastructure-as-Code (IaC) can do more than automate deployments—it can help embed cost-efficiency into your architecture from day one.

A roadmap to modernize infrastructure delivery so your systems are as fast, consistent, and intelligent as the software they support.