Dialog-Based Code Processing with Large-Model File Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing code processing methods require manual user interaction, which is complex and inefficient, leading to poor user experience.
Innovation Solution
A method utilizing a large model to process code based on dialog text, where a first dialog text is input to determine a target code file and generate a code processing result and dialog text, which are then displayed on an interaction interface, simplifying user operations and enhancing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user operation is used for code processing, then the user can directly control the code file, but the operation complexity increases and processing efficiency decreases
Solution Approach 1:
The system enables self-service code processing by automatically identifying target code files and executing processing tasks based on user input without requiring manual file selection or complex operations. The large model automatically determines which code file to process and performs the intended operations, allowing the system to serve itself rather than requiring continuous user intervention.
Solution Approach 2:
The large model acts as an intermediary between the user's natural language input and the code processing system. It translates user intent into automated actions by identifying target code files and determining processing operations, serving as a mediator that eliminates the need for direct manual file manipulation while maintaining user control through conversational input.
2Reliability
If manual code file processing is performed, then the user can review and control each step, but the time consumption increases
Solution Approach 1:
The system performs preliminary action by automatically identifying and selecting the target code file before the user needs to process it. The large model anticipates the user's intent and pre-determines which code file should be processed, eliminating the time required for manual file selection while maintaining reliability through accurate intent recognition and file identification.
3Productivity
If automated processing is implemented, then the processing efficiency improves, but the complexity of the system increases
Solution Approach 1:
The large model serves multiple functions within the code processing system: it understands user intent, identifies target code files, determines processing operations, and coordinates execution. This multi-functionality consolidates what would otherwise require separate complex components into a single versatile model, achieving automation without proportionally increasing system complexity.
Data Source
AI summary
A method for processing a code based on a large model in a human-machine interaction system is performed by an electronic device and includes: obtaining a first dialog text for describing a code processing task; determining at least one of a newly added code file or an original code file as a target code file corresponding to the code processing task; inputting the first dialog text into a large model, and outputting, via the large model, a code processing result of the target code file and a second dialog text corresponding to the first dialog text; and displaying the code processing result and a target dialog text on an interaction interface, wherein the target dialog text comprises at least one of the first dialog text or the second dialog text.