Language-Agnostic Code Embeddings for Development Efficiency

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Solution Overview

Problem

Current code development systems are inefficient due to redundant and partially reusable functions, lacking a centralized storage for language-agnostic intelligent code recommendations, which hinders developers' workflow efficiency.

Innovation Solution

A technology-agnostic digital wallet system that stores reusable components in a centralized platform, allowing developers to access and deploy language-agnostic code embeddings based on their specific technology stack, utilizing vectorization, statistical distribution assessment, and self-attention layers to recommend and generate code snippets.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If developers implement code functions independently for each project, then code customization and flexibility are improved, but code redundancy and development time increase

Engineering Contradiction:

Improvecode customizationVSAvoiddevelopment time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary action by pre-processing code functions into language-agnostic embeddings and storing them in a centralized database before they are needed. When a developer needs a function, the system has already prepared the embeddings and can quickly retrieve and generate the appropriate code, eliminating the need to create functions from scratch for each project.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system creates copies of code functions in the form of language-agnostic embeddings that can be reused across multiple projects and programming languages. Instead of rewriting the same logic in different languages, the system copies the semantic meaning of the function and generates the appropriate code in the target language, reducing redundancy while maintaining customization.

Inventive Principle:

Principle #26Copying

2Manufacturing precision

If developers create custom code functions for specific projects, then code quality and project-specific optimization are improved, but code reusability and system efficiency deteriorate

Engineering Contradiction:

Improvecode qualityVSAvoidcode reusability

Core Design Contradiction:

Manufacturing precisionVSAdaptability or versatility

Solution Approach 1:

The system implements universality by creating language-agnostic code embeddings that can serve multiple functions across different programming languages and project types. A single embedding can be used to generate code in Python, JavaScript, Java, or other languages, making the code base universally applicable while maintaining project-specific quality requirements through customization parameters.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system applies parameter changes by allowing the same code embedding to be generated with different parameters for specific projects. The embedding contains the core logic, but parameters such as language type, project context, and specific requirements can be changed to produce optimized code for each project while reusing the same underlying function.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If a centralized code repository is implemented, then code reusability and efficiency are improved, but system complexity and integration difficulty increase

Engineering Contradiction:

Improvedevelopment efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system uses language-agnostic code embeddings as an intermediary between the centralized repository and the various programming languages. Instead of directly integrating with multiple language ecosystems, the embeddings serve as a universal intermediate representation that simplifies the integration process and reduces system complexity while maintaining high productivity.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Measurement precision

If language-specific code functions are used, then code precision and language optimization are improved, but cross-language reusability and versatility deteriorate

Engineering Contradiction:

Improvecode precisionVSAvoidcross-language reusability

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system segments code into two parts: language-agnostic semantic embeddings that capture the core logic and language-specific generated code that provides optimization. This segmentation allows the precision-critical logic to be language-independent while the language-specific implementation can be optimized for each target language without sacrificing reusability.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS11243749B1Systems and methods for assisted code development

Publication Date: 2022.02.08 BANK OF AMERICA CORP

AI summary

The present invention generally relates to the field of automated and flexible information extraction for assisted and streamlined development of computer code. The invention provides for accommodating coding representations of reusable utilities in a technology agnostic pattern so that, based on a specified coding stack, the technology agnostic embeddings can be decoded and deployed into developers' integrated development environment. The present invention includes a technologic agnostic digital wallet for developers capable of storing reusable components either from open source repositories or user-defined functions in an embedded pattern in a centralized storage platform such as cloud or hosted virtual desktop.