Abstract: Embodiments automate surfacing of underutilized development tool features, thereby enhancing the discoverability of subtools, commands, shortcuts, settings, visualizers, and other tool features. After spotting an inefficiency in the user's interaction with one or more tools, the feature surfacing functionality offers the user an interaction optimization suggestion. A mapping structure correlates detected interaction patterns with objectively better interaction optimizations. Several examples of mappings are discussed. The user can accept a suggestion, have the suggested optimization applied by an enhanced tool, and thereby reduce the number of user gestures utilized to accomplish a desired result, reduce the number of tools utilized, increase security, reduce risk of error, or get to the desired result faster, for example. Interaction optimizations also help the user stay focused, by reducing or avoiding departures from the user's current primary workflow.

Abstract: Embodiments automate surfacing of underutilized development tool features, thereby enhancing the discoverability of subtools, commands, shortcuts, settings, visualizers, and other tool features. After spotting an inefficiency in the user’s interaction with one or more tools, the feature surfacing functionality offers the user an interaction optimization suggestion. A mapping structure correlates detected interaction patterns with objectively better interaction optimizations. Several examples of mappings are discussed. The user can accept a suggestion, have the suggested optimization applied by an enhanced tool, and thereby reduce the number of user gestures utilized to accomplish a desired result, reduce the number of tools utilized, increase security, reduce risk of error, or get to the desired result faster, for example. Interaction optimizations also help the user stay focused, by reducing or avoiding departures from the user’s current primary workflow.

Abstract: Embodiments automate several aspects of document copy-paste updates. An enhanced editor submits context, such as a copied section, pasted section, nearby text, or parser information, to an automatic suggestion generator. The editor gets back a suggestion for automatically changing the pasted section, thus helping users avoid tedium and errors. For instance, string substitutions begun by the user can be automatically and easily completed within the pasted section. Refactoring between variable declarations and parameter lists is detected and completed on request. Situation-specific transforms based on code synthesis, word associations, temporal edit patterns, anchor target lists, regular expressions, or autocompletion are offered. Suggestions are given inside the user's current workflow to avoid breaks in focus. Suggestions can be refined automatically in response to implicit or explicit user feedback. Users are warned of unedited pasted sections. Code review is aided by highlighting pasted sections.