242 results about "Code development" patented technology

The invention discloses a low-code development automatic generation method based on a large language model, which comprises the following steps: collecting natural language description information input by a user, and preprocessing; inputting the standardized demand corpus set into a large language model, and executing semantic understanding and context modeling; matching the low-code component library based on the structured semantic representation to generate component assembly description information; generating and verifying an engineering skeleton according to the assembly description information, and outputting an executable low-code application initial version; running the executable low-code application initial version, and monitoring and analyzing execution difference to generate an increment adjustment instruction; and inputting the increment adjustment instruction into the large language model, performing reconstruction and adaptive optimization, and outputting an executable low-code application final version. According to the method, large language model semantic understanding and adaptive optimization technologies are fused, automatic generation and continuous optimization of low-code applications are realized, and the method has the advantages of intelligence, high precision and engineering reliability.

The invention discloses an AI low-code development component automatic generation method based on a knowledge graph, and relates to the technical field of AI low-code development, and the method comprises the following specific steps: constructing an AI development knowledge graph: constructing a knowledge graph containing a five-layer structure, collecting and preprocessing multi-source data, and extracting various entities and association relationships, so as to obtain an AI development knowledge graph; constructing an ontology structure, importing the ontology structure into a database, and forming a final knowledge graph through manual auditing and machine reasoning optimization; according to the method, the multi-dimensional AI development knowledge graph is constructed, user requirements are analyzed in combination with the optimized natural language processing model, the component configuration scheme is generated by introducing the multi-level reasoning mechanism, and finally the standardized low-code component is automatically generated, so that full-automatic conversion from the user requirements to the low-code component is realized, and the user experience is improved. The defect that an existing low-code platform depends on manual component configuration is overcome, the development period is greatly shortened, and the development cost and the technical threshold are reduced.

Systems and methods described herein enable adaptive, threshold-based modification of node maps representing ontologies, knowledge graphs, or code development pipelines using generative artificial intelligence. The disclosed platform can retrieve a node map and generate one or more candidate perturbations that modify nodes or relationships within the node map. The disclosed platform can evaluate the effect of the perturbations by comparing respective outputs against ground-truth data. Perturbations can be automatically determined based on changes in external datasets, compliance policies, or operational requirements. The perturbations can be implemented when a computed perturbation quality value satisfies a threshold quality criterion. As such, the system enables efficient, policy-compliant evolution of relational system architectures in dynamic environments.

The invention discloses an intelligent file service system generation method based on a low-code development mode. The method comprises the following steps: constructing a file service core data model, defining file metadata fields, a storage structure and an association relationship, and forming a standardized data architecture. According to the method, the core data model, the visual page component library and the drag-and-drop workflow template are constructed, linkage binding of data-component-process is achieved in combination with a low-code engine, and the efficiency bottleneck of a traditional development mode is broken through; through a three-way real-time synchronization mechanism, real-time hot repair and dynamic branch judgment, page layout and flow rule adjustment can take effect immediately through visual configuration, and the problem of dynamic demand response lag is solved; through the intelligent resource scheduling logic compiled through environment adaptation, a differentiation scheme is generated for different deployment environments, the configuration difference influence under a private cloud and server mixed deployment scene is remarkably reduced, the deployment failure rate is greatly reduced, and the system online stability is improved.

The invention discloses a solution for intelligent low-code construction and automatic deployment of a multi-terminal application full stack, belongs to the technical field of software development, and solves the problems that an existing low-code development platform is high in use threshold, does not support customized development and is disjunction in application construction and application use. The invention provides an intelligent low-code construction platform. The intelligent low-code construction platform comprises a low-code construction platform, an application rendering unit, an application deployment unit and a display interaction unit, the low-code construction platform is used for constructing a plurality of application pages according to the developer personalized configuration information, and associating the plurality of application pages according to set association logic information among the plurality of application pages to obtain an application program; generating application data according to the application program, and storing the application data; the page cross-end rendering unit is used for performing Web end and App end rendering on the application program according to a defined page rendering protocol to obtain a Web end application and an App end application; and the display interaction unit is used for displaying the interaction function and the application logic of the Web end application and the App end application.

The invention belongs to the technical field of low-code development platforms, and particularly relates to a low-code platform model construction and dynamic execution method and system based on a hybrid DSL (Digital Subscriber Line), and the method comprises the steps: describing static model information in an application by using a structure DSL in a declarative grammar; defining a behavior DSL in a mounting mode under a corresponding element of the structure DSL; analyzing the structure DSL into a meta-model object tree in the platform, and converting the behavior DSL into an executable expression tree / intermediate representation; jointly driving the meta-model object tree and the expression tree / intermediate representation by utilizing a template engine, and automatically generating at least one application code in a front-end page, a back-end interface and a database script; a common structure DSL and a behavior DSL are combined and packaged into a scene template, and the scene template is stored in a template library so as to be reused by different service scenes, and modularization and templating of service modeling are realized. The complexity of the system is reduced, and the development efficiency and quality are improved.

The invention belongs to the technical field of code-free development, and particularly relates to a Web3D zero-code interactive design platform and method based on a unified model, and the platform comprises a unified business logic model UBLM and a platform-independent, self-described and structured data container which is used for completely defining all behavior logics in 3D interactive application, including events, conditions, actions, parameters, variables and flow relations; the dual-mode editor comprises a form-type editor and a blueprint-type editor, and the form-type editor and the blueprint-type editor can be used for completely creating, editing and visualizing the same UBLM and realizing real-time state synchronization; and the interpreted rule execution engine IREE is a lightweight engine running in a JavaScript environment of a browser and is responsible for analyzing the UBLM during running and converting the declarative logic into an executable instruction in a 3D scene through a rule matching and function registration mechanism. According to the invention, the development and cooperation efficiency can be improved, and the iterative maintenance process is simplified.

The invention relates to the technical field of code development, and provides an AI code effective proportion statistical method and device, a medium and equipment. The method comprises the steps of obtaining related information of codes submitted by a user; according to a user name in the related information, searching log information of an AI code generated by a corresponding user through adoption of a code generation tool; under the condition that the file name of the code submitted by the user is matched with the file name in the log information, searching a corresponding submitted code segment from the code submitted by the user according to the mark information in the log information; and calculating the similarity between the AI code and the submitted code segment, and counting the effective proportion corresponding to the AI code according to the similarity. Therefore, the calculation of the effective proportion considers the quality of the AI code, so that the effective proportion can accurately reflect the real contribution of the AI code, and the calculation process is automatically realized, thereby avoiding the tedious, time-consuming and labor-consuming conditions of manual labeling.

The invention relates to the technical field of computers, and discloses an application development method based on a large model technology, and the method comprises the steps: 1, carrying out the demand analysis, and converting a fuzzy business description into an executable technical scheme through natural language understanding and a structured modeling technology; 2, carrying out architecture design and planning, and constructing a code-free and low-code dual-mode collaborative architecture; 3, establishing a visual arrangement engine, and establishing a dual-mode development interface of a code-free development mode and a low-code development mode; step 4, aiming at different requirements of a code-free scene and a low-code scene, a dynamic adaptation strategy is adopted, and differentiated resource management of lightweight adaptation and elastic expansion is carried out; and step 5, performing field adaptation, and obtaining the industry exclusive capability according to the general model and the field knowledge through code-free rapid adaptation and low-code deep customization. By means of the scheme, the development threshold can be lowered, the efficiency can be improved, and the accuracy of cross-industry application is improved.

The invention discloses a low-code development system and method for multi-agent collaborative application, and the method comprises the steps: creating a plurality of agents in a management and scheduling engine, and configuring a special model, a knowledge base, a plug-in tool and other specific functions for each agent; dragging a front-end component to a graphical interface through a low-code front-end construction module, combining into a front-end page, and configuring component attributes; through a workflow arrangement module, target nodes are dragged in the graphical interface, an execution sequence and a data flow direction between the target nodes are established through connecting lines, and target workflow is generated; establishing an event response mechanism and a data rendering mechanism between a front-end page and a target workflow through a front-end and rear-end converged communication module; and binding the front-end page and the target workflow through an application management and deployment module, packaging the front-end page and the target workflow into an independent application, and issuing and managing the independent application. The full-process low-code development of multi-agent collaborative application is realized, and the development threshold and technical requirements of complex AI application are remarkably reduced.

The embodiment of the invention provides a production process configuration method, system and device, a storage medium and a program product, and relates to the field of artificial intelligence. The method comprises the following steps: after obtaining a service demand, analyzing the service demand based on an intelligent agent, and generating corresponding configuration information in combination with a configuration information management rule; in the code development process, the configuration information is adjusted based on the agent according to the change information of the code; and after code development is completed, packaging the latest code according to a preset version management rule based on the intelligent agent, generating a version package, and deploying the version package to a corresponding environment. According to the method, the configuration information is automatically generated according to the service requirements, the configuration information can be automatically adjusted according to needs in the development process, and after the codes are completed, the codes can be automatically packaged and deployed into the corresponding keys, so that developers only need to provide some key service requirements, and the development efficiency is improved. Manual operation links in the production process are reduced, the production efficiency is improved, and the error rate is reduced.

The present invention provides a large language model (LLM) based development application framework and a method for codeless development of one or more enterprise application. The invention includes a layered platform architecture for supporting and executing development of SCM applications. The development framework includes one or more LLM agents for executing various operations in the enterprise application.

The invention relates to a low-code development method and system based on a large language model and a medium, and relates to the technical field of software development. The method comprises the steps of obtaining a user input instruction, and extracting a natural language instruction in the user input instruction; based on a natural language processing engine, performing intention recognition and entity extraction on the natural language instruction to obtain structured query information; importing the structured query information into a trained large language model to obtain response information; according to the method provided by the embodiment of the invention, the large language model is deeply integrated into the low-code development process, so that the use threshold is remarkably reduced, the development efficiency is greatly improved, and the flexible customization capability is enhanced.

The invention provides an automatic software development system based on multi-agent cooperation, and the system comprises a demand analysis agent which is used for receiving a natural language demand input by a shared working area, generating a demand specification document containing an acceptance standard based on the natural language demand, and sending the demand specification document to the shared working area; the detailed design agent is used for receiving a demand specification document input by the shared working area, performing system design based on the demand specification document, generating a design specification document and sending the design specification document to the shared working area; the project development agent is used for receiving a design specification document input by the shared working area, performing code development based on the design specification document, generating an executable code and sending the executable code to the shared working area; and the shared working area is used for storing and forwarding the natural language demand input by the user and the output of the demand analysis intelligent agent, the detailed design intelligent agent and the project development intelligent agent. The development efficiency can be improved, the labor cost is reduced, and the software quality is improved.

The invention discloses a rule engine and low-code dual-drive power grid digital graph fusion treatment platform and method. The platform comprises an infrastructure layer, a data layer, an algorithm engine layer and a business application layer. And the data layer is used for accessing and managing multi-source power grid data. And the algorithm engine layer comprises a rule engine module for configuring and executing data verification, digital graph association and exception handling rules, a data quality diagnosis algorithm module for performing data quality diagnosis to identify exceptions, and a digital graph fusion driving engine module for realizing bidirectional linkage between data and graphs. And the business application layer comprises a low-code arrangement platform for customizing a governance scene page and a work order process, a digital graph integrated display module for displaying multi-source power grid data on the same screen, and a closed-loop work order management module for automatically generating and distributing governance work orders. The method constructs a depth digital graph fusion system, improves the anomaly positioning and treatment efficiency, achieves automatic management and control and whole-course tracing, does not need a large amount of code development, and shortens the response period of a new business scene.

The invention provides a fine configuration method and system based on a strategy mode, and the method comprises the steps: defining themes used for abstracting entrance traffic, order distribution and other events through a configuration system, and configuring a basic data source and a data processing rule for each theme, wherein the data processing rule supports a user to carry out code development implementation in a basic class of each service line according to service requirements; the system automatically stores theme data to middleware, matches a corresponding theme through a strategy mode after receiving a user request, performs secondary data processing according to a configuration rule and returns a result; the technical effects of flexible configuration mode, quasi-real-time index calculation, support of multi-source data access, high-concurrency scene adaptation and good expansibility in flow fine management are realized, and the service operation demand change can be quickly responded.

Systems and methods for uses and / or improvements to artificial intelligence applications, particularly in the realm of code development. As one example, systems are described herein for an artificial intelligence tool for software code development that estimates runtime processing efficiency of serverless applications as well as provide recommendations for more efficient code for the serverless applications.

The invention belongs to the technical field of power supply control, and particularly discloses a digital power supply graphical programming method based on flow driving, which comprises the following steps of: constructing a power supply control Flow component library which comprises a plurality of Flow nodes, and storing the nodes in a script file form, the script file comprises basic code snippets required by node function implementation and describes data terminals, logic terminals and node attribute parameters of input and output reserved by nodes; constructing a graphical programming module, and providing a graphical programming interface to receive a setting operation of a user so as to form a graphical program logic description file; generating a graphical program script file according to the description file and each Flow node script file; and generating a power supply control code based on the graphical program script file and the chip peripheral drive script file, and compiling and burning the power supply control code into an embedded controller of the digital power supply. According to the method, low-code / code-free development can be realized, and the development difficulty is effectively reduced.

The invention provides a sandbox scheduling method based on a code generation large model and a related device, and relates to the technical field of computers, in particular to the technical field of artificial intelligence such as large language models, sandboxes, human-computer interaction and low codes. The method comprises the following steps: determining personalized demand information according to a code development request initiated by a target user; in response to the existence of the reusable sandbox matched with the personalized demand information, the reusable sandbox matched with the personalized demand information is allocated to the target user, and the reusable sandbox is a sandbox in which data associated with the target user is retained; in response to the fact that the reusable sandbox matched with the personalized demand information does not exist, a to-be-activated sandbox corresponding to the personalized demand information is determined from a pre-constructed sandbox hot pool, the to-be-activated sandbox is distributed to the target user, and different sandboxes respectively provide the same code in different operation environments to generate a large model. According to the method, the resource utilization efficiency of sandbox scheduling is improved.

A WebIDE instance management method, apparatus, and system are provided. The system includes a web client and a WebIDE serving end. In the method, the web client receives a request triggered by a user in a first window of a WebIDE instance, where the request is used to request to display a specified object of the WebIDE instance on the web client. The web client sends the request to the WebIDE serving end. The WebIDE serving end sends a response message for the request to the web client. The web client displays a second window based on the response message, and displays the specified object in the second window. The first window and the second window are used to display a frontend page corresponding to the WebIDE instance. Accordingly, the user can collaboratively perform code development and debugging by using a plurality of windows of one WebIDE instance.

In some implementations, a fault diagnosis system may track information associated with a first execution of a code pipeline to deploy an updated version of software associated with the code pipeline. The fault diagnosis system may receive an indication of a failure in a second execution of the code pipeline, wherein the second execution of the code pipeline is triggered by a commit of source code to a source code repository. The fault diagnosis system may determine whether the updated version of the software associated with the code pipeline or the source code committed to the source code repository is a cause of the failure in the second execution of the code pipeline. The fault diagnosis system may send a request to plan code development to resolve the cause of the failure in the second execution of the code pipeline.

The present disclosure provides a method and apparatus for processing code, a method and apparatus for training a code model, and a device, which relates to the field of artificial intelligence, and in particular, to the technical fields of software development, data processing, large models and computer communication. The method for processing code includes: acquiring target pasted code in response to a code paste event being monitored; performing dependency analysis for the target pasted code to obtain context-dependent data corresponding to the target pasted code; performing, according to the context-dependent data, code optimization for the target pasted code to obtain optimized code corresponding to the target pasted code; and outputting the optimized code. The present disclosure can greatly improve development efficiency, seamlessly integrate optimized code into the current code development environment, and improve code quality.

This invention relates to an enterprise-level full-stack low-code development platform based on a model-driven and plug-in architecture, belonging to the field of computer technology. It addresses the problems of poor scalability, performance bottlenecks, high security risks, and inflexible deployment inherent in existing platforms. The invention includes: a visual development tool providing a form designer and workflow engine, supporting drag-and-drop development and real-time preview; a plug-in extension module, implemented based on the PF4J framework, supporting dynamic loading, unloading, and isolation of plug-ins; a data integration and management module providing an API gateway, multi-source data integration, and data model management; and an application deployment and maintenance module for one-click automated deployment and log auditing. This invention achieves dynamic functional expansion through a plug-in architecture, optimizes performance in high-concurrency scenarios through a workflow engine, enhances security, and provides more flexible deployment, improving the development and maintenance efficiency of enterprise-level applications. It is suitable for application scenarios such as government approvals.

The embodiment of the invention provides an auxiliary knowledge acquisition method and device in program code development and a program product. On the basis of obtaining the development assistance request, analyzing the development assistance request through a pre-trained request analysis model to obtain an MCP command; the method comprises the following steps: receiving an MCP instruction, analyzing the MCP instruction through an MCP service to generate a knowledge base query instruction, and sending the knowledge base query instruction to a corresponding target knowledge query service, so that the target knowledge query service performs knowledge query in a target knowledge base according to the knowledge base query instruction to generate development auxiliary knowledge; middle adaptation is carried out through the MCP service, so that the target knowledge base can generate development assistance knowledge without accessing the target knowledge base by the pre-trained request analysis model, development assistance demand information proposed by a user when program code development is carried out is accurately solved, and the user experience is improved. The problem that auxiliary knowledge replied based on a scheme in the prior art is poor in accuracy is solved.

The disclosure provides a low-code informatization system and method and an ARM server, relates to the field of cloud services, and particularly relates to the field of ARM chips. A specific implementation scheme is as follows: the ARM server comprises at least one ARM board card, each ARM board card is deployed with a cloud platform, a technical component, a business middle station and an application front desk; a firewall is connected with the ARM server and is deployed with at least one security service product; and a user equipment accesses the ARM server through the firewall and is deployed with a low-code development tool. The implementation manner not only meets the demand of informatization construction for server computing power, but also greatly reduces the use cost and saves storage space compared with a server based on an X86 architecture under the condition of the same effect, and one-stop delivery of a traditional industry informatization system is realized.

The invention provides a real-time verification and feedback method and device for a natural language low-code platform, relates to the field of natural language processing, and solves the technical problem that an existing low-code development platform generally lacks a real-time verification mechanism for generated codes. The method comprises the following steps: acquiring business demand data; converting the business demand data into structured data through a BERT model, wherein the structured data comprises an execution sequence, conditional constraints and a business logic mapping relation of each process node; generating a decision tree based on the structured data; based on the decision tree and the structured data, generating a corresponding low-code script through a generation model; submitting the low-code script to an execution engine, performing real-time execution verification in a containerized isolation environment, and outputting a verification result and a running log; and analyzing the verification result and the running log, generating natural language feedback information, and optimizing the generation model. The method and the device are used in the real-time verification and feedback process of the natural language low-code platform.

According to the Blockly-based sewing automatic machine visual programming system and method, the medium, the program product and the terminal provided by the invention, the code blocks are quickly established in a graphic block dragging manner, and automatic code conversion, encryption and burning integrated operation is provided, so that the secondary development process is simplified. Meanwhile, debugging message output, a drawing function and a plug-in system hot update mode are also considered, and advanced customization requirements of part of users are met. And a built-in interface can realize debugging and file transmission of automaton equipment and other equipment. Through function blocks designed by the system, code conversion, encryption and burning integration and a simulation function, the code error probability is reduced to the greatest extent, so that the code development efficiency and quality are improved. According to the plug-in system, the updating and upgrading process of an existing system is simplified, the secondary development threshold is lowered, and the reliability of codes is ensured.

The invention provides an airborne software heterogeneous reconstruction system, which belongs to the technical field of airborne software, and comprises an application construction module used for software source code development, software source code transplantation and software source code reconstruction; the container construction module is used for containerization packaging of software source codes; the mirror image construction deployment module is used for generating a container mirror image according to the function combination required by the system every time; the resource management module forms a data access interface of each module; the operation management module is used for monitoring and data collection; the resource library module is used for storing a software source file, a container source file, a container mirror image, a target system operation process and result data; the node management container module is used for computing node management, computing node network management and networking management of multiple computing nodes; the function container module is used for realizing system application functions; and the application management container module is used for operation scheduling and management of the functional container modules and data communication among the multifunctional container modules.

The present invention provides a platform architecture, a development application framework and a method for codeless development of one or more Supply chain management (SCM) enterprise application. The invention includes a layered platform architecture for supporting and executing development of SCM applications. The platform and method provide interaction of an SCM application user, a citizen developer user and a platform developer user with one or more layers of the platform architecture for codeless development of the SCM applications.

The invention relates to the field of software development, and discloses a code consistency detection method and device, computer equipment, a computer readable storage medium and a computer program product. The code consistency detection method comprises the steps of obtaining a target code and a comparison reference code in response to a consistency detection event for the target code; under the condition that a difference code exists between the target code and the comparison reference code, obtaining a plurality of difference dimensions for the target code; querying target information and comparison reference information associated with the difference code from code development information of the target code and the comparison reference code according to each difference dimension; determining a target difference dimension of the target code relative to the comparison reference code from the difference dimensions by comparing the target information with the comparison reference information; and generating a code consistency detection result of the target code based on the target information, the difference code and the target difference dimension. By adopting the method, the code consistency detection efficiency and accuracy can be improved.