Abstract: Extensions to add functionality to an extensible computing technology development tool are identified based at least in part on whether they support a media type that is associated with a file being opened in the development tool. The extensible tool may be a software development tool or a hardware development tool. Complex recommendation mechanisms in the form of collaborative filtering, user preference history content-based filtering, and demographic profile-based recommendations, are avoided, thereby making recommendation actions faster and less resource-intensive. Users have discretion as to how often a tool extension marketplace is searched, and discretion as to how much detail is shown in presenting the search results.

Abstract: Extensions to add functionality to an extensible computing technology development tool are identified and recommended to developers based at least in part on which tool extensions are being intensively used by developers working in the same or similar usage contexts. Usage contexts are specified in terms of projects, workspaces, repositories, and optionally their branches, forks, clones, or remotes, for example. Telemetry data voluntarily provided from developer systems is gathered and processed at a backend system to produce a data structure listing some top (in terms of use) tool extensions. This data structure is provided to developer systems, to serve as a basis for automatically recommending top tool extensions to developers, e.g., when they open a project or a workspace. This automatic recommendation relieves developers of the burden of researching extensions to try and choose the ones most likely to help them efficiently and effectively develop implementations of computing technology.

Abstract: Extensions to add functionality to an extensible computing technology development tool are identified based at least in part on whether they support a media type that is associated with a file being opened in the development tool. The extensible tool may be a software development tool or a hardware development tool. Complex recommendation mechanisms in the form of collaborative filtering, user preference history content-based filtering, and demographic profile-based recommendations, are avoided, thereby making recommendation actions faster and less resource-intensive. Users have discretion as to how often a tool extension marketplace is searched, and discretion as to how much detail is shown in presenting the search results.