There's nothing more frustrating than writing up a thoughtful, intentional feature request to your favorite service provider and then not getting a response or subsequent feedback.

At ConfigCat, we understand the importance of feature requests because we know that our service becomes more successful when our customers are happy and their needs are met.

As a result, we keep track of each of our customers' feature requests to help us make informed product decisions and implement the features that matter most.

To keep an app or website functioning, a business may choose to roll out new features or make updates. If these updates or features are somehow shipped with bugs and are not well received by users, this may cause a decline in user engagement and can lead to revenue losses.

Product managers are responsible for deciding what products to develop that align with the company's goals and also satisfy the needs of the customers. To be a successful product manager, you have to start by defining what a winning product looks like and iterate over it until it's right. To do so, you have to understand that at its core, a product is broken down into its features and quality of user experience.

However, when developing these features, even after thoroughly testing them in your development environment for potential bugs and issues that may negatively impact user experience, it may not always be sufficient to ensure a successful release to users.

Most companies believe they understand the customer, only to be shocked when their customers behave differently than what they expected, either intentionally or unintentionally. That's where A/B testing comes in to kick all these doubts and prevent the shock.

We’ll play around to see how A/B testing works with ConfigCat’s feature flag management service to take your experiments to the next level by giving you the ability to remotely control and configure your features without going back to the code.

Our job as developers often involves releasing new features regularly. However, how can we ensure that these features work properly in production before safely releasing them to all users? It's easy, by feature flagging!

Do you want to learn how to work with ConfigCat's feature toggles better and more efficiently? You've come to the right place! Let's take a look at the benefits of using some good practices when managing feature flags with ConfigCat.

This is a step-by-step guide on implementing an A/B testing scenario using ConfigCat and visualizing the results in a funnel with Amplitude. There is a working sample application on GitHub if you want to follow along.

Remix, the React-based full-stack framework for building server-rendered applications, has been generating a lot of buzz lately, especially since it was open-sourced. Remix is a dedicated Server-Side Rendering (SSR) framework for building web applications that are rendered on the server.

At Kantan, we're changing the lives of tradespeople by giving them the tools to excel in a competitive marketplace. Our product is a React Native app that helps them serve customers, manage operations and grow their business. We have thousands of tradespeople managing hundreds of thousands of jobs on our platform. And we are just getting started.

To enable us to grow and scale on the journey to become the number one application for tradespeople in the UK, we need to move quickly, pushing our product and features to market faster than our competitors whilst maintaining quality and ensuring we have complete control over our production environment.

Features can sometimes reach a high-enough level of complexity that simply cramming the entire thing behind a single feature flag and calling it a day becomes widely impractical.

More modular feature control needs to be thought of and implemented beforehand. Since such scenarios happen quite often all throughout development, a more advanced form of feature flag management is needed.

Understanding the Flag Hierarchy​

While the base concept of feature flagging remains untouched (in the sense that they still toggle stuff on and off), feature flags nowadays tend to act more like an interconnected web of toggles where they may or may not be dependent on each other to run. The main benefit of all this added complexity is the ability to use flags to control certain parts of a feature in a very modular and clean way.