Language-Agnostic Code Embeddings for Cross-Stack Reuse
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Solution Overview
Problem
Current code development systems are inefficient due to redundant and partially reusable functions, necessitating a tool for centralized storage of language-agnostic intelligent code recommendations to enhance coding workflows.
Innovation Solution
A system that generates technology-agnostic code embeddings from reusable utilities, allowing for decoding and deployment into developers' integrated development environments (IDEs) using a technologically agnostic digital wallet, enabling seamless code conversion across programming languages through a cloud-based storage platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If developers implement functions manually for each project, then code can be customized to specific project needs, but redundant and partially reusable functions increase development time and effort
Solution Approach 1:
The system pre-generates code embeddings from reusable utilities and stores them in a database before they are needed. When a developer requests code in a specific language, the pre-processed embeddings are quickly decoded and returned, eliminating the need for manual implementation of common functions.
Solution Approach 2:
The system transforms code into language-agnostic embeddings by changing the representation parameters from specific programming languages to a universal intermediate form. This allows the same code logic to be retrieved and decoded in multiple programming languages without manual rewriting.
2Adaptability or versatility
If a centralized storage system for code embeddings is implemented, then code reusability across languages is improved, but system complexity increases due to encoding and decoding mechanisms
Solution Approach 1:
The system introduces code embeddings as an intermediary representation between different programming languages. Instead of directly translating between languages, the system converts code to embeddings and then decodes from embeddings to the target language, simplifying the transformation process through this intermediate layer.
Solution Approach 2:
The system creates simplified copies of code in the form of embeddings that capture the essential logic and structure without language-specific syntax. These embedding copies can be rapidly generated and decoded in different languages without dealing with the full complexity of original code transformations.
3Adaptability or versatility
If code embeddings are stored in a remotely accessible database, then code sharing and reusability are enhanced, but data retrieval and processing time may increase
Solution Approach 1:
The system pre-processes code into embeddings and stores them in a remotely accessible database before they are needed. This preliminary transformation allows for rapid retrieval and decoding when developers request code in specific languages, as the heavy lifting of code analysis has already been completed.
Data Source
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.