Blogs by Steve Zegalia | LaunchDarkly

Stories by Steve Zegalia

Introducing new insights, integrations, and ways to manage releases at scale with LaunchDarkly

Today we’re happy to announce several new features that address these important issues that arise at enterprise scale, making it even easier to efficiently manage releases across your organization

Steve Zegalia

Developer productivity

Nov 08

Declutter your flags with automated flag archival checks in LaunchDarkly

We’re excited to introduce automated checks in LaunchDarkly to let you know when a flag is ready to be removed. That means that your team can more easily and proactively manage flag debt, contributing to a cleaner codebase and freeing up more time for building and shipping new products.

Steve Zegalia

Oct 25

Part 2: How Is GenAI Transforming the Software Development Lifecycle?

In this four-part blog series, we’ll cover how GenAI is transforming software delivery, the new challenges it introduces, and how LaunchDarkly can help teams build and deliver new GenAI features within a matter of hours, not weeks.

Steve Zegalia

Oct 08

Part 1: Keeping Up With The Pace Of GenAI Innovation

Steve Zegalia

Product Updates

Oct 02

Introducing A New Way To Quickly and Easily Do Progressive Rollouts In LaunchDarkly

While you can already configure Progressive Rollouts using workflows in LaunchDarkly today, we want to make it even easier for your team to de-risk your software releases. That's why we're excited to introduce a new way to add Progressive Rollouts to your releases.

Steve Zegalia

Risk mitigation

Sep 10

De-Risking Software Releases With Progressive Delivery

Steve Zegalia

Analyst Report

Sep 08

What’s New In The 2024 Agile & DevOps Gartner® Hype Cycle™: Feature Management, Experimentation, and AI

Every year, Gartner provides a graphic representation of the maturity and adoption of technologies and applications in the Agile and DevOps space, and how they are potentially relevant to solving real business problems and exploiting new opportunities. They call it a Hype Cycle. This methodology is designed to give a view of how a technology or application will evolve over time, providing a sound source of insight to manage its deployment within the context of your specific business goals. In this year’s report we see feature management, which has been steadily climbing the slope of enlightenment for years, further incorporating experimentation and starting to intersect technologies like GenAI and AI Code Assistants.

Steve Zegalia

Jun 13