CEO’s Guide to Building a Culture of Experimentation | eBook | Harness Resources

In this webinar, we explore how you can empower all of your engineers to build reliability and security into their CI/CD processes earlier and more often.

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.

Learn how AI and ML automate CI/CD processes, enhancing deployment verification, reducing manual checks, and improving efficiency.

This session explores why rapid code creation is amplifying downstream bottlenecks and increasing operational strain. We’ll examine how fragmented toolchains and manual handoffs turn AI speed into a liability.