US 2026/0219879 A1Published application

Version Control in AI Coding

OwnerRon ZASSinventor

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Abstract

Systems, methods and non-transitory computer readable media for version control in artificial intelligence coding are provided. An artificial intelligence model may be used to analyze a first natural language input and a first version of a source code to generate a second version of the source code. At least one of the first input, a second natural language input received after the second version is generated, or the second version may be analyzed to determine not to commit the second version to a version control system. The artificial intelligence model may be used to analyze the second input and the second version to generate a third version of the source code. At least one of the second input, a third natural language input received after the generation of the third version, or the third version may be analyzed to determine to commit the third version to the version control system.

Claims20

Dependent claims

A non-transitory computer readable medium storing computer implementable instructions that when executed by at least one processor cause the at least one processor to perform operations for version control in artificial intelligence coding, the operations comprising:

accessing an artificial intelligence model;
accessing a first version of a source code, the first version of the source code is committed to a version control system;
receiving a first input in a natural language;
using the artificial intelligence model to analyze the first input in the natural language and at least portion of the first version of the source code to generate a second version of the source code;
after generating the second version of the source code, receiving a second input in the natural language;
analyzing at least one of the first input, the second input or at least part of the second version of the source code to determine not to commit the second version of the source code to the version control system;
avoiding triggering a committing of the second version of the source code to the version control system;
using the artificial intelligence model to analyze the second input in the natural language and at least portion of the second version of the source code to generate a third version of the source code;
after generating the third version of the source code, receiving a third input in the natural language;
analyzing at least one of the second input, the third input or at least part of the third version of the source code to determine to commit the third version of the source code to the version control system;
and
triggering a committing of the third version of the source code to the version control system.

9 more elements

Dependencies are inferred from the claim text.

Facts

Application: 19/629,287Filed 26 Mar 2026
Priority: 8 Apr 2025
Published: 30 Jul 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification24 codes

G06F 8/71
Software maintenance or management: version control ; Configuration management
G06N 20/00
Machine learning
G06F 8/10
Arrangements for software engineering: requirements analysis; Specification techniques
G06F 8/30
Arrangements for software engineering: creation or generation of source code