5 posts tagged with "feature-flags"

As AI-powered software development rapidly proliferates, new challenges have emerged that traditional development and deployment processes cannot adequately address. The unpredictable nature of AI models, high costs, and potential risks necessitate more cautious and controllable release strategies.

In this context, OpenFeature, a standardization project for feature flags, is playing an increasingly important role in the safe and efficient deployment of AI products.

Are you a Quality Assurance (QA) engineer struggling with these daily challenges?

It works in development, but you can't test it in staging right away because there's no data.

The combination patterns for each feature are too complex to test everything.

In today's world, where development cycles are sped up by Generative AI, the role of QA is more important than ever. Yet, preparing test environments and testing complex feature combinations takes a lot of time and can slow down development.

What if you could freely switch specific features ON or OFF without changing any application code or environments?

This article will show you concrete ways to use Bucketeer, a feature flag and A/B testing platform, to solve the problems QA engineers face and drastically improve test quality and efficiency.

We're excited to announce Bucketeer 2.0, a major update to our feature flag management platform. This release is all about usability, speed, and flexibility — making it easier than ever to manage flags, collaborate with your team, and roll out changes with confidence.

Over the past months, we've listened closely to feedback from the community. Many of you wanted a smoother workflow, faster flag management, and more intuitive tools. With Bucketeer 2.0, we've reimagined the console from the ground up to deliver just that.

Bucketeer has always been a powerful open-source platform for feature flag management and A/B testing.
But until now, self-hosting Bucketeer required Google Cloud services like BigQuery and Pub/Sub. That meant local testing was difficult, and teams who preferred to host outside GCP had limited options.

With Bucketeer Lite, we're changing that.

Now you can run Bucketeer in just a few minutes using Docker Compose, with Redis Streams for pub/sub and MySQL for data storage.
No GCP required — just Docker, MySQL, and Redis.

Feature flags have revolutionized how we deploy and test software, but managing them often requires context switching between multiple tools and interfaces. Today, we're excited to announce the Bucketeer MCP Server, a Model Context Protocol implementation that brings comprehensive feature flag management directly into your AI-assisted development workflow.