Create an Exceptional Developer Experience | eBook | Harness Resources

In this webinar, you will learn how to secure your CI/CD pipelines within your software delivery lifecycle. We will discuss topics such as secrets sprawl, rotation, obfuscation as well as secret injection.

In this webinar, Rohit Reddy from Harness shares patterns, design lessons, and insights from building a GitOps-first IaC platform using OpenTofu—the open-source Terraform fork backed by the Linux Foundation. Learn how teams can evolve from ad hoc scripts to policy-driven workflows integrated into the delivery lifecycle.

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.

Feature flags are a powerful tool for managing releases, experimenting with new functionality, and enabling continuous delivery. However, when misused, they can introduce complexity, hidden risks, and even technical debt that undermine your software delivery goals.