Unleash

Diving into our industry

ai-imperative-feature-flags-ai
Industry Insights

The AI Imperative in Financial Services: Moving Fast Without Breaking Things

AI is transforming how financial institutions build, ship, and secure software. From better fraud detection, faster credit checks, or more targeted investment recommendations, development speed has surged, but so have the stakes. The DORA State of AI-Assisted Software Development Report puts it bluntly: AI increases productivity but erodes stability. A 25 percent rise in AI […]

Product

Feature flags are bigger than DevOps

DevOps has delivered on its promise to automate, streamline, and standardize software deployment. Teams today leverage CI/CD pipelines, infrastructure as code, and automated monitoring, resulting in an ability to ship code almost continuously. Yet failures still occur – sometimes catastrophically – because the focus of DevOps is internal: ensuring code gets to production. But customers […]

Product

Feature flag driven development: A guide

This article explores how feature flag driven development (FFDD) and FeatureOps practices enable engineering teams to deliver software with greater control, reduced risk, and continuous learning through runtime feature management and experimentation. The current gap in DevOps: Why are failures still happening? Despite years of investment in CI/CD pipelines, agile methodologies, and DevOps automation, many […]

Product

Feature flag vs feature toggle: Is there a difference?

Historically, “feature flag” and “feature toggle” have referred to the same fundamental concept: a runtime control mechanism used to enable or disable specific functionality within a software product without deploying new code. For the vast majority of teams and products, there is no functional difference between a feature flag and a feature toggle. Both refer […]

Product

How should I think about A/B testing?

At its core, A/B testing is a method of comparing two (or more) variants of a feature or experience to measure which one produces better outcomes. Traditionally, companies have used A/B tests to decide between different button colors, UI layouts, or call-to-action text—looking for statistically significant changes in conversion or engagement. But A/B testing’s real […]