Techniques regarding discovering configuration information for one or more computer applications are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a configuration component that can discover configuration information associated with a containerized computer application. The configuration information can be characterized by a set of environment attributes extracted by querying a source code of the containerized computer application.

A development engine may enable a developer to customize a user experience using an intuitive developer interface. A rules engine may provide constructs to a card engine in the form of card definitions, which the card engine may evaluate using facts obtained from a facts controller. The evaluated card definitions are cards that may be output for presentation via user equipment. Variants may be assigned weights which can be set or changed dynamically by the card engine substantively and in real time based on factors such as user behavior, account condition, promotions or offerings. The card engine may make content decisions proximate to events occurring to the user. The presentation of the cards may be changed substantively and in real time in accordance with the setting or changes in variants.

A development engine may enable a developer to customize a user experience using an intuitive developer interface. A rules engine may provide constructs to a card engine in the form of card definitions, which the card engine may evaluate using facts obtained from a facts controller. The evaluated card definitions are cards that may be output for presentation via user equipment. Variants may be assigned weights which can be set or changed dynamically by the card engine substantively and in real time based on factors such as user behavior, account condition, promotions or offerings. The card engine may make content decisions proximate to events occurring to the user. The presentation of the cards may be changed substantively and in real time in accordance with the setting or changes in variants.

An integrated development environment (IDE) system that may provide runtime validation, and incremental compilation and linking of multiple schema resources for a query language such as e.g., GraphQL. The runtime validation may be performed during the incremental compilation and linking process. If errors in the source code are detected during the runtime validation process, the compilation and linking process may be stopped without generating runtime objects.

An integrated development environment (IDE) system that may provide runtime validation, and incremental compilation and linking of multiple schema resources for a query language such as e.g., GraphQL. The runtime validation may be performed during the incremental compilation and linking process. If errors in the source code are detected during the runtime validation process, the compilation and linking process may be stopped without generating runtime objects.

A method for presenting an associated conflict block comprises obtaining a first conflict file comprising a plurality of first code blocks, wherein a second code block of the first code blocks comprises a first code snippet of a current version of the second code block, a second code snippet of a basic version of the second code block, and a third code snippet of a to-be-merged version of the second code block. A first instruction triggered on a user interface for activating a to-be-processed code block is received, wherein a first type of the to-be-processed code block is of an unresolved conflict block or a single-side change block. A fourth code snippet comprised in the to-be-processed code block and indexes of N associated code blocks of the to-be-processed code block is presented on the user interface.

Methods, apparatus, systems, and articles of manufacture are disclosed that implement an automatically evolving code recommendation engine. In one example, the apparatus collects a user code snippet. The apparatus then determines a structured representation of the user code snippet. Next, the apparatus generates a recommended code snippet using the structured representation of the user code snippet. Then the apparatus obtains user-determined code snippet feedback comparing the user code snippet to the recommended code snippet, the user-determined code snippet feedback indicating one of a match, no match, or uncertain. Finally, the apparatus stores a code snippet training pair in a training database, the code snippet training pair including the user code snippet and the recommended code snippet.

A code completion system for a CLI utilizes neural transformer models with attention to generate candidates to complete a line of CLI code. The code completion system uses a first deep learning model to predict at most k candidate command names to follow n immediately preceding lines of CLI code which are presented to a developer. Upon the developer accepting one of the candidate command names, the code completion system uses a second deep learning model to predict at most k parameter strings to complete the line of CLI code.

A method, computer program product, and computing system for enabling usage of a conversational application by a plurality of users; gathering usage data concerning usage of the conversational application by the plurality of users; defining a visual representation of the conversational application; and overlaying the usage data onto the visual representation of the conversational application to generate visual traffic flow data.

A method, computer program product, and computing system for enabling usage of a conversational application by a plurality of users; gathering usage data concerning usage of the conversational application by the plurality of users; defining a visual representation of the conversational application; and overlaying the usage data onto the visual representation of the conversational application to generate visual traffic flow data.