Abstract: Systems and methods for identifying options for order fulfillment using an API are provided. The system receives, via the API, an order inquiry comprising customer information and item information about an item sold via a merchant website. The order inquiry can be received in response to a customer placing the item in an electronic shopping cart. The item information includes an item identifier and a quantity. The customer information includes a customer address. Using the item information and the customer information, the system identifies warehouse nodes and carriers via which the item can be delivered to the customer. The system confirms inventory of the item in the warehouse nodes. For each warehouse node with sufficient inventory, the system identifies shipping options for the item, including levels of service, cutoff order times, and prices. The system then generates fulfillment options for the item and provides the options to the merchant website.

Abstract: A system and method may provide assistance to programmers during programming to reduce the number of routine tasks that must be performed. In some aspects, the system may provide for searching a corpus of source code based on keyword or natural language search input. Search results including code entities and snippets of code that are described by the search input are then provided as search results. Some embodiments relate to using a neural network encoder to generate tensor embeddings of source code and related text in a joint tensor space. Relatedness between embeddings in this joint tensor space for text and associated source code is used in some embodiments to facilitate code search.

Abstract: A smart assistant is disclosed that provides for interfaces to capture requirements for a technical assistance request and then execute actions responsive to the technical assistance request. Example embodiments relate to parsing natural language input defining a technical assistance request to determine a series of instructions responsive to the technical assistance request. The smart assistant may also automatically detect a condition and generate a technical assistance request responsive to the condition. One or more driver applications may control or command one or more computing systems to respond to the technical assistance request.

Abstract: A system and method may provide assistance to programmers during programming to reduce the number of routine tasks that must be performed. In some aspects, the system may suggest one or more code snippets that comprise code completions. The code snippets may be single or multi-token. In some aspects, the system may provide predictive editing or predictive navigation, where the system may predict edits or navigation actions based on a programmer's actions. In some aspects, the system is based on machine learning methods and is trained on past actions of programmers in a code editor.

Abstract: A system and method may provide assistance to programmers related to the creation of documentation. In some aspects, the system may automatically generate documentation-related text in source code. In other aspects, the system may automatically detect the need for the programmer to edit long-from documentation when changes are detected in code. Moreover, the system may provide for the aggregation or creation of documentation content based on one or more data sources, such as by embedding links to those data sources into documentation. In some aspects, some components of the system are based on machine learning methods and are trained on collected data.

Abstract: Disclosed systems and methods relate to a knowledge sharing system for aggregating and disseminating knowledge related to programming. The knowledge system for aggregating and disseminating knowledge related to programming may organize or index knowledge according to topics. A topic may be any kind of transferrable piece of knowledge that may be shared. In some embodiments, knowledge organized under a topic may be comprised of a record of interactions with computing systems, and in some embodiments, knowledge organized under a topic may be comprised of text documents, code samples, documentation, web sites, records of discussions, or other kinds of reference materials.

Abstract: A system and method may be provided for performing code analysis on a system of remote computer nodes. Input data may be collected on a local computer system along with a request for code analysis. The input data and request may be transmitted to a network of remote nodes. The network of remote nodes may perform the code analysis task using the input data. The results of the analysis may be returned back to the local computer.

Abstract: A system and method may provide assistance to programmer during programming to detect and predict the existence of errors in code and, in some aspects, predict fixes for erroneous code. In some aspects, the system and method may use artificial intelligence to learn based on edits made by programmers, by observing code changes that cause errors and code changes that fix errors, or based on other data.

Abstract: A system and method may be provided for performing code analysis on a system of remote computer nodes. Input data may be collected on a local computer system along with a request for code analysis. The input data and request may be transmitted to a network of remote nodes. The network of remote nodes may perform the code analysis task using the input data. The results of the analysis may be returned back to the local computer.

Abstract: A smart assistant is disclosed that provides for interfaces to capture requirements for a technical assistance request and then execute actions responsive to the technical assistance request. Example embodiments relate to parsing natural language input defining a technical assistance request to determine a series of instructions responsive to the technical assistance request. The smart assistant may also automatically detect a condition and generate a technical assistance request responsive to the condition.

Abstract: A smart assistant is disclosed that provides for interfaces to capture requirements for a technical assistance request and then execute actions responsive to the technical assistance request. Example embodiments relate to parsing natural language input defining a technical assistance request to determine a series of instructions responsive to the technical assistance request. The smart assistant may also automatically detect a condition and generate a technical assistance request responsive to the condition. One or more driver applications may control or command one or more computing systems to respond to the technical assistance request.

Abstract: A system and method may provide assistance to programmers related to the creation of documentation. In some aspects, the system may automatically generate documentation-related text in source code. In other aspects, the system may automatically detect the need for the programmer to edit long-from documentation when changes are detected in code. Moreover, the system may provide for the aggregation or creation of documentation content based on one or more data sources, such as by embedding links to those data sources into documentation. In some aspects, some components of the system are based on machine learning methods and are trained on collected data.

Abstract: Disclosed systems and methods relate to a knowledge sharing system for aggregating and disseminating knowledge related to programming. The knowledge system for aggregating and disseminating knowledge related to programming may organize or index knowledge according to topics. A topic may be any kind of transferrable piece of knowledge that may be shared. In some embodiments, knowledge organized under a topic may be comprised of a record of interactions with computing systems, and in some embodiments, knowledge organized under a topic may be comprised of text documents, code samples, documentation, web sites, records of discussions, or other kinds of reference materials.

Abstract: A system and method may provide for identifying and executing code examples in displayed documents. In embodiments disclosed herein, a portion of executable code on a displayed page may be identified, modified, and executed. In one embodiment, a code example may be identified on a web page by a web browser extension, and a code example editing interface displayed to enable editing of the code example in the web browser. An execution environment for the code example may be generated, and the code example executed in a similar context as it was displayed in. For example, a code example may be executed in a web browser. Some embodiments disclosed relate to identifying parameters of a code execution environment, executing code examples remotely, and sharing code examples.

Abstract: A system and method may provide assistance to programmers during programming to reduce the number of routine tasks that must be performed. In some aspects, the system may provide for searching a corpus of source code based on keyword or natural language search input. Search results including code entities and snippets of code that are described by the search input are then provided as search results. Some embodiments relate to using a neural network encoder to generate tensor embeddings of source code and related text in a joint tensor space. Relatedness between embeddings in this joint tensor space for text and associated source code is used in some embodiments to facilitate code search.

Abstract: A system and method may provide assistance to programmers during programming to reduce the number of routine tasks that must be performed. In some aspects, the system may suggest one or more code snippets that comprise code completions. The code snippets may be single or multi-token. In some aspects, the system may provide predictive editing or predictive navigation, where the system may predict edits or navigation actions based on a programmer's actions. In some aspects, the system is based on machine learning methods and is trained on past actions of programmers in a code editor.

Abstract: A system and method may provide assistance to programmer during programming to detect and predict the existence of errors in code and, in some aspects, predict fixes for erroneous code. In some aspects, the system and method may use artificial intelligence to learn based on edits made by programmers, by observing code changes that cause errors and code changes that fix errors, or based on other data.

Abstract: The present invention relates to a virtual reality feedback system to measure trunk orientation of a low back pain patient, and then displaying the measurement information on a display device for the benefit of the patient.

Abstract: The present invention relates to a system and method for continually monitoring the spine of a user via device containing electromechanical transducer, processor, delay, transmitter, and a feedback component. Through the device and method of employing, the user will be able to learn and sustain a proper posture, thereby avoiding future back pain.

Abstract: The present invention relates to a system and method for continually monitoring the spine of a user via device containing electromechanical transducer, processor, delay, transmitter, and a feedback component. Through the device and method of employing, the user will be able to learn and sustain a proper posture, thereby avoiding future back pain.