Disclosed embodiments are directed at systems, methods, and architecture for providing auto-documentation to APIs. The auto documentation plugin is architecturally placed between an API and a client thereof and parses API requests and responses in order to generate auto-documentation. In some embodiments, the auto-documentation plugin is used to update preexisting documentation after updates. In some embodiments, the auto-documentation plugin accesses an on-line documentation repository. In some embodiments, the auto-documentation plugin makes use of a machine learning model to determine how and which portions of an existing documentation file to update.

Annotating programming code by receiving a first version of programming code, determining annotations for the code according to a first machine learning model, identifying a user, altering a generative model according a persona of the user, and generating altered annotations using the altered generative model.

Annotating programming code by receiving a first version of programming code, determining annotations for the code according to a first machine learning model, identifying a user, altering a generative model according a persona of the user, and generating altered annotations using the altered generative model.

In some aspects, a computing system can determine a set of attributes based on analyzing input data using attribute templates written in a production-ready programming language. The computing system can generate attribute definitions for the set of attributes using the attribute templates and deploy the attribute definitions for the set of attributes to a production environment of a software program. The software program is written in a programming language compatible with the production-ready programming language. The computing system can monitor the performance of the set of attributes in the production environment of the software program and cause the attribute definitions of the plurality of attributes to be modified based on the monitoring.

A non-transitory computer-readable medium includes a program causing one or more processors to execute disposing one or more program components and one or more comments on a screen of a visual programming editor based on acceptance of an operation, determining whether to associate a specific comment with a specific program component based on a positional relationship between the specific comment included in the one or more comments and the specific program component included in the one or more program components, and generating a text-based code in which a text of the specific comment and a text of the specific program component are disposed nearby based on determination that the specific comment is associated with the specific program component.

A non-transitory computer-readable medium includes a program causing one or more processors to execute disposing one or more program components and one or more comments on a screen of a visual programming editor based on acceptance of an operation, determining whether to associate a specific comment with a specific program component based on a positional relationship between the specific comment included in the one or more comments and the specific program component included in the one or more program components, and generating a text-based code in which a text of the specific comment and a text of the specific program component are disposed nearby based on determination that the specific comment is associated with the specific program component.

An industrial integrated development environment (IDE) supports collaborative tools that allow multiple designers and programmers to remotely submit design input to the same automation system project in parallel while maintaining project consistency. The industrial IDE also permits localized development of system projects, and provides an infrastructure for intelligently brokering between conflicting edits submitted to common portions of the system project. Project edits submitted to the IDE system, both applied and unapplied, are stored as edit records, allowing edits to be selectively undone or applied either manually or as part of a rollback to a milestone version.

Methods, computer systems, computer-storage media, and graphical user interfaces are provided for providing contextual profile data related to code. In embodiments, a contextual indicator indicating at least a portion of code accessed at a user device and/or a developer associated with the at least the portion of code is obtained. Based on the contextual indicator, contextual profile data related to the code and/or the developer is determined by communicating, via a network, with a remote server having a global repository including the at least the portion of code. Thereafter, the contextual profile data is provided for display in a profile card associated with the developer.

Methods, computer systems, computer-storage media, and graphical user interfaces are provided for providing contextual profile data related to code. In embodiments, a contextual indicator indicating at least a portion of code accessed at a user device and/or a developer associated with the at least the portion of code is obtained. Based on the contextual indicator, contextual profile data related to the code and/or the developer is determined by communicating, via a network, with a remote server having a global repository including the at least the portion of code. Thereafter, the contextual profile data is provided for display in a profile card associated with the developer.

One example method of operation may include determining one or more of a file type and a code segment accessed during a code access event, identifying code origin information appended to the code segment during previous code access events, appending an updated code access location to the code segment identifying the current code access event and a current code location, and applying one or more code access restrictions to the code segment based on the current code location.