Generative Source Code Editing With Targeted Subportion Selection
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Solution Overview
Problem
Existing methods for modifying synthetic source code generated by generative models require users to copy and paste the entire code into a separate editor, consuming significant computational resources and lacking precision in targeted modifications.
Innovation Solution
A system that allows users to select and modify specific subportions of synthetic source code directly within an interface, using generative models to process shorter input sequences and ensure consistent updates across related code portions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the entire synthetic source code is copied into a separate text editor for modification, then the user can edit the code manually, but significant computational resources are consumed and the process becomes inefficient
Solution Approach 1:
The patent segments the source code into subportions that can be individually selected and modified. Instead of processing the entire codebase, the system allows users to select specific subportions (e.g., functions, classes, or code blocks) for modification, thereby reducing the amount of code that needs to be processed and stored in memory during generative model operations.
Solution Approach 2:
The patent extracts only the necessary subportion of the source code that requires modification and submits it to the generative model, rather than copying and processing the entire codebase. This extraction approach minimizes memory usage and computational overhead while maintaining the ability to perform targeted modifications.
2Manufacturing precision
If the entire synthetic source code is processed by the generative model for modification, then comprehensive updates can be made, but the input sequence length increases processing time and resource consumption
Solution Approach 1:
The patent divides the source code into manageable subportions and allows users to select specific segments for modification. This segmentation enables the generative model to process only the relevant code portions, reducing input sequence length and processing time while maintaining modification precision for the selected areas.
Solution Approach 2:
The patent applies partial action by processing only the selected subportion of code that requires modification, rather than processing the entire codebase. This approach uses just enough computational resources to achieve the desired modification without the excess processing time that would result from analyzing and processing unnecessary code sections.
3Adaptability or versatility
If users manually copy and paste code into external editors, then editing flexibility is achieved, but the workflow becomes complex and less efficient
Solution Approach 1:
The patent merges the code selection, modification request input, and generative model processing capabilities into a single integrated interface. Users can select subportions of code and request modifications directly within the same environment, eliminating the need to switch between external text editors and reducing workflow complexity while maintaining editing flexibility.
Solution Approach 2:
The patent creates a universal interface that combines multiple functions: code display, subportion selection, modification request input, and result presentation. This multi-functional interface replaces the need for separate external editors and streamlines the workflow, making the process accessible and efficient for various types of code modifications.
Data Source
AI summary
Implementations are described herein for using GMs such as LLMs to generate and/or modify source code. In various implementations, a modification made to either a source code comment or a snippet of source code that is referenced by the source code comment may be detected in first rendered GM output. A first GM prompt may be assembled to include data indicative of the modification and the source code comment and/or the snippet of the source code that is referenced by the source code comment. The first GM prompt may be processed using GM(s) to generate a first GM response, which may be operable to provide second rendered GM output that includes a new version of the source code in which the modification to the one of either the source code comment or the snippet is reflected in the other of the source code comment or the snippet.