Recursive AI Code Fix Circuit for Cross-File Error Control

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Solution Overview

Problem

Existing source code review tools fail to effectively correct code smells and errors without introducing errors in other files during the review process.

Innovation Solution

A recursive circuit utilizing artificial intelligence, specifically large language models like GPT-4 or BERT, is employed to identify and rectify code issues, recursively modifying source code until it is error-free, using a combination of compilers, interpreters, and static code analyzers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If source code review software detects and corrects code issues in one file, then code quality in that file is improved, but errors may be introduced in other files

Engineering Contradiction:

Improvecode qualityVSAvoiderror introduction in other files

Core Design Contradiction:

Manufacturing precisionVSReliability

Solution Approach 1:

The system implements a feedback mechanism where the code review tool re-analyzes the entire codebase after each correction is applied. This closed-loop feedback ensures that any new errors introduced by corrections are detected and can be addressed in subsequent iterations, resolving the contradiction between improving code quality and preventing error introduction

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary analysis of the entire codebase before applying corrections. By pre-identifying potential issues and understanding inter-file dependencies beforehand, the system can make more informed correction decisions that are less likely to introduce errors in other files

Inventive Principle:

Principle #10Preliminary action

2Manufacturing precision

If recursive correction is applied to fix code issues, then code accuracy is improved, but processing time increases

Engineering Contradiction:

Improvecode accuracyVSAvoidprocessing time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system applies partial recursive correction by focusing on the most critical code issues first rather than attempting to correct all issues simultaneously. This prioritized approach achieves sufficient code accuracy while significantly reducing the total processing time compared to exhaustive correction

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The recursive correction process is implemented as periodic iterations rather than continuous processing. The system performs correction cycles at intervals, analyzing the codebase, applying corrections, and re-evaluating. This periodic approach manages processing time by breaking down the continuous correction task into discrete, manageable cycles

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS20250306918A1Recursive artificial intelligence code fix circuit

Publication Date: 2025.10.02 PAYPAL INC

AI summary

Systems, methods, and computer program products for correcting code issues, such as code smells, using artificial intelligence, are provided. A code issue in one of multiple source code files is determined. An artificial intelligence model, such as a large language model, receives the code issue and the multiple source code files. The AI model recursively modifies at least one source code file from the multiple source code files until the code issue and an error or errors introduced by modifying the at least one source code file are resolved, and the source code files are issue free.