An intent broker component that is configured to facilitate the use of voice to develop code in a source code editor. This is accomplished by using intent parameters that are generated by a natural language processor in response to receiving verbal input from a developer operating with the source code editor. These intent parameters includes an action name and a parameter upon which to perform the named action. The intent parameters are then used to generate input to a code injection component that operates in the source code editor.

Embodiments relate to interactive graphical display. A request is processed by a generative system to generate multiple hypotheses of an output in response to the request, a primary hypothesis of the multiple hypotheses having a highest confidence for the output, multiple secondary hypotheses of the multiple hypotheses having a lower confidence than the highest confidence. At least one region of divergence is determined from the primary hypothesis by the multiple secondary hypotheses, the at least one region of divergence having alternatives in the multiple secondary hypotheses, the alternatives in the multiple secondary hypotheses differing from the primary hypothesis. A graphical user interface displays the at least one region of divergence in the primary hypothesis and alternatives in the multiple secondary hypotheses for the at least one region of divergence, the alternatives and primary hypothesis for the at least one region of divergence being displayed as selectable options for a user.

A data model metadata editor is described that may be integrated within a customer data platform. The editor enables a user to create and/or edit data model metadata by implementing a graphical user interface (GUI) that prompts the user to provide input and make selections in a manner that accords with rules concerning what information such metadata must include and how the contents of such metadata should be organized and formatted. Furthermore, the editor may perform syntax checking, validate such input and selections against the aforementioned rules, and flag any detected errors and/or potential problems to the user. Still further, the editor may apply the data model metadata (e.g., data schemas) to actual customer data and present the results to the user within the editor GUI so that the user can visually confirm that changes made to the data model metadata accord with the customer data.

Operations may include obtaining a plurality of posts from one or more web sites, each post including a respective buggy snippet of source code that includes a corresponding error. The operations may also include generating a plurality of bug patterns from the plurality of posts in which each respective bug pattern corresponds to a respective buggy snippet and indicates a corresponding bug scenario that leads to the corresponding error of the respective buggy snippet that corresponds to the respective bug pattern. The operations may also include determining similarities with respect to the respective bug patterns and selecting, based on the similarity determinations, a first bug pattern of the plurality of bug patterns for revision. In addition, the operations may include obtaining a revised bug pattern that is a revised version of the first bug pattern.

Provided methods and systems allow dynamic rendering of a reflexive questionnaire based on a modifiable spreadsheet for users with little to no programming experience and knowledge. Some methods comprise receiving a modifiable spreadsheet with multiple rows, each row comprising rendering instructions for a reflexive questionnaire from a first computer, such as a data type cell, statement cell, logic cell, and a field identifier; rendering a graphical user interface, on a second computer, comprising a label and an input element corresponding to the rendering instructions of a first row of the spreadsheet; receiving an input from the second computer; evaluating the input against the logic cell of the spreadsheet; in response to the input complying with the logic cell of the spreadsheet, dynamically rendering a second label and a second input element to be displayed on the graphical user interface based on the logic of the first row.

Computer processes are provided which can be executed without business or commercial context, independent of the kind of data or other content associated with the computer processes. In one embodiment, a computer process can be broken down into functional units, and the metadata associated with the functional units can be extracted. Each functional unit can then be represented by an interface and also coded with computer-readable instructions to use one or more configuration sets which have been defined by the metadata. The computer process can then be implemented by programming the functional units to execute based on a configuration set determined by predefined operating parameters. Artificially intelligent algorithms may be used to analyze and self-configure the processing flow or business rules aspects of different events associated with the computer process.

Computer processes are provided which can be executed without business or commercial context, independent of the kind of data or other content associated with the computer processes. In one embodiment, a computer process can be broken down into functional units, and the metadata associated with the functional units can be extracted. Each functional unit can then be represented by an interface and also coded with computer-readable instructions to use one or more configuration sets which have been defined by the metadata. The computer process can then be implemented by programming the functional units to execute based on a configuration set determined by predefined operating parameters. Artificially intelligent algorithms may be used to analyze and self-configure the processing flow or business rules aspects of different events associated with the computer process.

A method may include obtaining machine-readable source code. The method may include parsing the source code for one or more code descriptions and identifying a section of the source code corresponding to each of the code descriptions. The method may include determining a description-code pair including a first element representing the code description and a second element representing the section of the source code corresponding to the code description. The method may include generating an augmented programming language corpus based on the description-code pair, the one or more code descriptions, and the source code. The method may include receiving a natural language search query for source-code recommendations, identifying source code from the augmented programming language corpus responsive to the natural language search query, and responding to the natural language search query with the identified source code.

A method may include obtaining machine-readable source code. The method may include parsing the source code for one or more code descriptions and identifying a section of the source code corresponding to each of the code descriptions. The method may include determining a description-code pair including a first element representing the code description and a second element representing the section of the source code corresponding to the code description. The method may include generating an augmented programming language corpus based on the description-code pair, the one or more code descriptions, and the source code. The method may include receiving a natural language search query for source-code recommendations, identifying source code from the augmented programming language corpus responsive to the natural language search query, and responding to the natural language search query with the identified source code.

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.