Thanks for the comment! Answering below: 1. At the moment, you'll have to manually type in which feature flags you'd like to remove when you set up the monitor

Thanks for the comment! Answering below: 1. At the moment, you'll have to manually type in which feature flags you'd like to remove when you set up the monitoring job. In the future, there will be integrations with popular "feature flag as a service" apps like LaunchDarkly, and they have an API that returns whether or not the flag is rolled out. The idea is to look at the last modified date and if it has been on 100% for a week or more, consider it as "stale" and remove it. 2. Which programming language(s) are you using? The AI model I'm using has been trained on many different code samples and it's generally able to support any programming language. This is similar to how GPT-3.5/4 works. RE: Using throughout the codebase with different programming languages - no problem. That use case is supported as you can specify file extensions to monitor. i.e. if you have one codebase with js, c#, and ts files you can enter all of those as extensions and RM Flags will clean up all references in those files. Let me know if this helps!