The adjustment module 206, in one embodiment, may decide which features to enable and/or disable using machine learning, artificial intelligence, or the like. For example, a feature adjustment module 104 may provide information identifying one or more capabilities of a mobile device as one or more inputs into machine learning, artificial intelligence, or the like, and receive a selection, prediction, and/or recommendation of one or more features to provide, features to limit, or the like as one or more outputs. In a further embodiment, the adjustment module 206 may use a decision tree, a predetermined ruleset, a look up table (LUT), or the like to determine one or more features of a mobile device to provide and/or to limit, based on a determined capability of the mobile device.
In one embodiment, an adjustment module 206 may be configured to monitor updates in a repository of computer executable code (e.g., a code repository hosting service, a version control and/or source code management system, a source code file, a directory, or the like). An adjustment module 206 may monitor a repository of computer executable code to detect a code commit, a code commit of a predefined type, a predefined number of code commits, a commit to a predefined or flagged portion of code, and/or another update to computer executable code of the repository.