Code-assisted programming method, system and related device based on double-end collaboration

By establishing a secure communication network between terminal devices and performing task segmentation and anonymization, the system generates code programming results using a local AI large model and conducts security audits, thus solving the data leakage risks and high costs in AI-assisted programming and achieving efficient, secure, and flexible code-assisted programming.

CN122240091APending Publication Date: 2026-06-19GITLAB INFORMATION TECH (HUBEI) CO LTD
0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GITLAB INFORMATION TECH (HUBEI) CO LTD
Filing Date
2026-01-29
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

Existing AI-assisted programming solutions rely on server-side computing resources, leading to data leakage risks and high operating costs. Service availability is limited by network conditions, failing to meet the usage needs in diverse network environments.

⚗Method used

By establishing a secure communication network between the first and second terminal devices, performing task segmentation and desensitization, and utilizing the large-scale AI model deployed locally or at the edge of the second terminal device to generate code programming results, and conducting security review and verification on the first terminal device, dual-terminal collaborative code-assisted programming is achieved.

🎯Benefits of technology

It reduces the risk of data breaches, lowers operating costs, improves programming efficiency and flexibility, adapts to usage needs in different network environments, and ensures code security and availability.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

This disclosure provides a code-assisted programming method, system, and related equipment based on dual-terminal collaboration, relating to the field of artificial intelligence technology. The method includes: generating anonymized code-assisted programming information in response to a code programming trigger request; sending the anonymized code-assisted programming information to a second terminal device located within the same secure communication network as a first terminal device, wherein the second terminal device is used to generate a code programming result with general functions based on a locally or edge-deployed AI large-scale model according to the anonymized code-assisted programming information; and receiving the code programming result returned by the second terminal device. This disclosure enables code-assisted programming using AI computing resources while ensuring data security.
Need to check novelty before this filing date? Find Prior Art