2 posts tagged with "software release best practices"

The feature flagging and experimentation space is heating up fast. OpenAI’s acquisition of Statsig shows just how important feature flag management has become and signals that the industry is moving toward AI-assisted, data-driven systems that optimize every release automatically.

This isn’t just another headline in the AI news cycle. It’s a sign of where software delivery is heading: toward AI-assisted, data-heavy development workflows where every release is measured, analyzed, and optimized.

For some teams, that’s the dream. For others, it’s just another layer of complexity standing between them and shipping code.

Feature flagging is a powerful technique that allows remote teams to quickly and easily toggle features on and off in their codebase. With feature flags development, teams can deploy new code to production without immediately making it available to end users.

This can be especially useful for remote teams, as it allows them to deploy code safely and efficiently. That’s because remote teams may not have the same level of communication and coordination as they would in a co-located setting. By using feature flags, remote teams can deploy new features and updates more frequently, without the risk of disrupting the user experience.

Let’s discuss what feature flagging actually means and how to get started with it.