Conversational AI Control for Programming Development Environments

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Solution Overview

Problem

Current development environments for computer programming lack the ability to be controlled with conversational artificial intelligence, making it difficult for users, especially those with disabilities, to perform operations and access functionality through complex graphical user interfaces.

Innovation Solution

Implementing a method and apparatus that utilize classification and machine learning algorithms to process natural language commands, creating fuzzy hash maps and data structures to determine actions within the development environment, allowing for automated and accessible programming.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a complex graphical user interface is provided in the development environment, then more functionality is available to users, but it becomes difficult to manually search through the interface to find the desired menu item

Engineering Contradiction:
Improvefunctionality availabilityVSAvoidinterface navigation difficulty
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent replaces the mechanical interaction of manually navigating through graphical user interface elements with an automated natural language processing system. The conversational AI interprets user intent through speech or text commands, substituting the manual searching and clicking mechanism with automated language understanding and action execution, thereby resolving the contradiction between comprehensive functionality and ease of operation

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces a natural language processing intermediary layer between the user and the complex graphical user interface. This intermediary translates human language commands into appropriate interface actions or menu selections, eliminating the need for users to manually search through the complex interface while preserving access to all functionality through conversational commands

Inventive Principle:
Principle #24Intermediary (Mediator)

2Ease of operation

If voice commands are used to type and compile code, then accessibility is improved, but the system does not support conversational AI for more complex operations

Engineering Contradiction:
ImproveaccessibilityVSAvoidconversational AI capability
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent extends the voice command system to handle multiple types of operations beyond simple code typing and compilation. The conversational AI is designed to perform diverse functions including code editing, file management, debugging, and navigation, making the system universal and adaptable to various programming tasks while maintaining accessibility through natural language interaction

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system enables users to independently perform complex programming operations through conversational commands without requiring assistance or manual interface navigation. The conversational AI interprets user intent and autonomously executes appropriate actions, allowing users with disabilities to self-service their programming needs across a wide range of operations

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12461715B2Methods and apparatus for facilitating usage of development environments for computer programming with conversational artificial intelligence
Publication Date: 2025.11.04 GROVER RADHIKA S DR
  • US12461715B2 patent drawing
  • US12461715B2 patent drawing
  • US12461715B2 patent drawing

AI summary

Classification and preprocessing algorithms are applied to at least one reference document and a natural language command provided as input by a user to a development environment for computer programming. Approximate matching of keywords in user commands with data in the reference document is performed with a fuzzy hash map and used to develop information metrics that produce a ranking of candidate actions. Selection criteria are then used to select an action from multiple candidate actions to perform the desired operation in the development environment.