8 results about "Development staff" patented technology

The invention discloses a large language model development method and device, equipment and a storage medium, and the method comprises the steps: obtaining an original model selected by a user and an original data set, carrying out the preprocessing of the original data set, obtaining a target data set, and building a large language model according to the original model; searching a training strategy matched with the large language model according to the target data set through an automatic parallel system deployed in the development platform; training the large language model according to the training strategy, and evaluating a training result of the large language model; and if it is determined that the large language model meets a preset performance condition according to the evaluation result, taking the large language model as a target model. According to the technical scheme, non-professional developers can also participate in development of the large language model, the use threshold is lowered, and the model development and iteration speed is increased.

The invention discloses a development assistance system and method based on full-front-end isolation packaging. The development assistance system comprises an application server module, a configuration client interface module, a debugging plug-in overlay interface module and a middleware core library module. The method and the system have the advantages that the method and the system are constructed on the basis of a plug-in system, interface service is separated from a front-end interface according to the design principle of strong cohesion and loose coupling, and the method and the system are capable of embedding expansion capacity through a vitite plug-in, quick in starting, light in weight and close to developers. According to the method and the system, overlay debugging and independent interface configuration during development are supported, the method and the system are fused to a development process of developers, atomicity, portability and integrity of front-end service development are embodied, front-end secondary development experience and efficiency can be effectively improved, and front-end and rear-end joint debugging difficulty is reduced.

The application relates to a program development task allocation method based on dynamic weight and real-time load balancing, and the method is as follows: step S1, constructing a multi-dimensional portrait of a developer; step S2, receiving a to-be-allocated R&D work order, and analyzing technical stack requirements, a business module to which the work order belongs, an emergency level and a demand level of the work order; step S3, dynamically generating a weight; step S4, load balancing scoring; step S5, allocation execution: distributing the work order to an employee with the highest comprehensive matching score; and step S6, closed-loop feedback updating: immediately collecting an actual processing duration and a user score of the work order after the work order is processed, and updating historical indexes in the multi-dimensional portrait of the employee by using a moving average algorithm, so that adaptive correction of the portrait is realized. The scheme truly realizes real-time load balancing of R&D resources, and solves the problems of lagging and distortion of portrait data.

The invention relates to the technical field of computers, and discloses a work order generation method and device based on function modularization, equipment and a medium, service demand information of a client is obtained through a work order creation request initiated by the client, and the communication time and labor cost of demand confirmation are reduced. The service work order type is determined according to the service demand information, the existing work order type can be quickly identified, repeated development is avoided, and the work order generation efficiency is improved. By querying and calling the existing components in the component library, service functions are modularized, component reuse is realized, redundant work of repeated development and test is avoided, professional requirements of developers are reduced, and work order generation is more flexible and efficient. Through combination of the target component and the work order content, the target work order is generated, rapid generation of the work order is realized, a service demand can be rapidly responded, and work order generation efficiency and flexibility in a medical care service business scene are improved.

A method for predicting progress of a code development project, comprising: monitoring behavior of a plurality of software developers through interaction with at least an integrated development environment; providing a predictive model of the code development project adapted to predict a future status of the code development project; and outputting a prediction dependent on a status of the code development project at a future time, the interaction comprising: exploration events comprising browsing source code for understanding or investigation; coding events comprising actively modifying source code; debugging events comprising interacting with a debugger stepping through code in a debugging phase; and testing events comprising coding or running unit tests and test automation.

Systems and methods to asynchronously vet, appraise, grade, rank and certify technical candidates for hiring are described. The technical candidate certification system administers and evaluates a set of specialized and customized evaluations of a technical candidate to generate a technical candidate ranking value, the ranking value typically provided relative to other technical candidates. The set of evaluations are customized to the job requirements of the client employer and to the profile of the candidate employee, and may be specialized to the hiring of software developer candidate employees. In one aspect, the technical candidate ranking system administers a software coding test and a technical interview, and provides an assessment and measure of a candidate's language proficiency. The client employer is provided with a ranking value of the recommended employee candidates.

Disclosed herein are computer-implemented systems and methods for code value assessment. For example, in one aspect, the system comprises, an input module configured to receive program code submissions from developers, a processing unit equipped with Text- Based Models with Contextual Understanding (TBM-CUs) configured to evaluate the functional meaning, purpose, and value of submitted code segments and distinguish between code contributions from human programmers and machine learning systems, a visualization module configured to present the assessed value of the analyzed code over various time periods and dimensions, offering insights into trends, patterns, and comparative performance, a communication module configured to translate programming code meaning or function into plain language summaries for non-technical stakeholders, and an AI peer review module configured to automatically review, accept or reject code contributions.

The present invention provides a software architecture optimization method, device and storage medium. Starting from the entire process from the development to the operation of the software architecture, a static call relationship network representing the call relationship between components, a team division structure representing the collaborative relationship between developers, a service linkage modification relationship network representing the modification relationship between services, and a communication structure representing the closeness of communication between developers are sequentially constructed. Then, the static call relationship network, the team division structure, the service linkage modification relationship network and the communication structure are used as reference information for software architecture optimization to optimize the software architecture. Compared with traditional architecture governance, it is more comprehensive and reliable, and because it is modeled by the data generated by the architecture itself, modeling and governance can be performed throughout the entire life cycle of the architecture, and will not be affected by non-technical factors such as personnel changes and experience, making the optimization and governance of the architecture more objective and reliable.