A system may determine one or more data sources which the system is configured to access. The system may provide a set of application programming interfaces (APIs) for interacting with data stored in one or more data sources. The APIs may be accessible to one or more web applications which the system is configured to serve. The system may determine that a web application has requested an operation for interacting with the data through one or more APIs in the set of APIs. The system may determine one or more responses based at least in part on the operation requested by the web application. The system may provide the response(s) to the web application.

Embodiments described herein are directed to a programming language trigger mechanism. The trigger mechanism is a small piece of code that a software developer utilizes in a computer program. The trigger mechanism enables computing operations or tasks to be performed asynchronously and in a parallel fashion. In particular, logic (e.g., operations or tasks) associated with the trigger mechanism are provided to a plurality of resources for processing in parallel. Each resource asynchronously processes the task provided thereto and asynchronously provides the result. The results are asynchronously returned as an enumeration. The enumeration enables the software developer to enumerate through the returned elements as a simple stream of results as they are calculated.

An AI engine having an architect module to create a number of nodes and how the nodes are connected in a graph of concept nodes that make up a resulting AI model. The architect module also creates a first concept node by wrapping an external entity of code into a software container with an interface configured to exchange information in a protocol of a software language used by the external entity of code. The architect module also creates a second concept node derived from its description in a scripted file coded in a pedagogical programming language, and connects the second concept node into the graph of nodes in the resulting AI model.

At a managed control plane service, constituent services and operational requirements of an application are identified. In response to an end-user request directed to the application, contents of an inter-service request are generated at a resource selected by the managed control plane service for a first constituent service, and a response to the message is generated at another resource selected for a second constituent service. Tasks to be performed for the operational requirements are initiated by the managed control plane service.

Markup language documents including server side scripting code using PHP syntax are executed efficiently in response to requests received by a server. The processing of the markup language document results in generation of a transformed markup language document that is returned in response to the request. The server side script code is input to a compiler that generates C++ code (or code in any object-based language based on C language) implementing the functionality of the server side script code. The C++ code is compiled to generated object code which is executed in order to process the markup language document. The generated C++ code includes functionality supported by PHP language including redeclaration of functions, dynamic variables, global variables, and the like. The generated C++ code invokes memory allocation code that allocates and deallocates objects obtained by instantiating the generated C++ classes.

Aspects of the disclosure relate to generating a pseudo-code from a text summarization based on a convolutional neural network. A computing platform may receive, by a computing device, a first document comprising text in a natural language different from English. Subsequently, the computing platform may translate, based on a neural machine translation model, the first document to a second document comprising text in English. Then, the computing platform may generate an attention-based convolutional neural network (CNN) for the second document. Then, the computing platform may extract, by applying the attention-based CNN, an abstractive summary of the second document. Subsequently, the computing platform may generate, based on the abstractive summary, a flowchart. Then, the computing platform may generate, based on the flowchart, a pseudo-code. Subsequently, the computing platform may display, via an interactive graphical user interface, the flowchart, and the pseudo-code.

A bare metal server, or other computing device, may be represented as a JSON file (extending the concept to infrastructure as code) containing hardware, firmware and software versions with links to a kickstarter file depending on the needs of an application, SKU type or some other criteria. Rather than a management node in an L2 network which has a DHCP server to IP lease and facilitate OS installation, a workflow then generates a bootstrap kernel which initializes the bare metal server with an IP address, VLAN, and network gateway which is used to reach out to the network to download and install a kernel, upgrade firmware for various hardware components like BIOS, BMC, NIC, RAID, SSD, NVME, FPGA, etc. The bootstrap kernel may further configure RAID and JBOD, flash custom images on hardware components and may further instruct the server to incrementally download and install an operating system.

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.

Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving a first example including input provided in a first cell in a spreadsheet; automatically synthesizing a plurality of candidate programs including a first set of candidate programs consistent with the first example, wherein each candidate program in the first set of candidate programs comprises at least one function in a spreadsheet programming language and, when the candidate program is executed, the candidate program generates output that matches the first example; ranking the plurality of candidate programs; and storing a highest-ranked program of the plurality of candidate programs in association with the first cell in the spreadsheet.

Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving first user input in a first cell in a spreadsheet; automatically synthesizing a program using the first user input in the first cell as a first example, where the program includes at least one function in a spreadsheet programming language and, when the program is executed, the program generates output that matches the first example; determining at least one additional cell in the spreadsheet that is related to the first cell; determining that a display triggering condition is satisfied; and in response to the determining that the display triggering condition is satisfied, displaying, in each of the at least one additional cell, an output of the program corresponding to the additional cell.