Feature Management & Experimentation Done Right | Datasheet | Harness Resources

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.

Every organization needs to deliver new software features faster. One of the keys to increasing reliability is adopting Site Reliability Engineering practices, including Service Level Objective (SLO)-driven software delivery.

A guide exposing the risks of DIY feature flagging and advocating for enterprise solutions to ensure scalability, security, and operational efficiency.

This guide shows how the most common solutions stack up by product features, pricing, and support.