AST-Based Code Generation for Consistent Multilanguage Development
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Solution Overview
Problem
The inefficiencies and inconsistencies in developing software across multiple programming languages result in inflated costs and maintenance burdens due to manual reimplementation, necessitating improved automated and uniform code generation methods.
Innovation Solution
A method and system for automated generation of computer source code that involves creating a coding node from received information, transforming it into an intermediate form, and transpiling it into multiple programming languages using a selected transpiler, with features like preliminary validation and context gathering to ensure consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual reimplementation is used across diverse programming languages, then code can be developed for multiple platforms, but costs are inflated and consistency is compromised
Solution Approach 1:
The patent implements a universal code generation system that uses a single abstract syntax tree (AST) representation to generate code across multiple programming languages. The AST serves as a language-agnostic intermediate representation that can be transformed into various target languages (JavaScript, TypeScript, Java, C#, etc.), eliminating the need for separate manual implementation teams for each platform while maintaining consistency across all generated codebases.
Solution Approach 2:
The patent introduces an abstract syntax tree (AST) as an intermediary representation between the input code and target language outputs. This AST acts as a mediator that captures the semantic structure of the source code in a language-independent manner, allowing automated transformation into multiple target languages while preserving logical consistency and reducing manual reimplementation requirements.
2Stability of the object's composition
If automated code generation is implemented, then consistency across languages is improved, but system complexity increases due to transpilation infrastructure
Solution Approach 1:
The patent segments the code generation process into distinct modular stages: input parsing, abstract syntax tree construction, AST transformation, and target language code generation. Each stage is implemented as a separate module or plugin that can be independently configured and maintained. This segmentation reduces system complexity by allowing teams to work on individual language generators without affecting the core AST representation or other language outputs.
3Adaptability or versatility
If multiple programming languages are supported simultaneously, then versatility is improved, but maintenance burden increases
Solution Approach 1:
The patent creates a universal maintenance model where fixes, optimizations, or logic changes are made at the AST level rather than in language-specific code. A single modification to the AST transformation rules or intermediate representation automatically propagates to all supported programming languages, eliminating the need to manually update multiple codebases and significantly reducing maintenance burden across diverse language implementations.
Data Source
AI summary
Embodiments of the disclosure provide systems and methods for automated generation of computer source code across multiple programming languages. According to one embodiment, a method for automated generation of computer source code can comprise receiving information defining a coding node. The coding node can comprise a definition of an object within an object tree for the computer source code. The coding node can be created based on the received information defining the coding node and the coding node can be transformed into an intermediate, transformed coding node. The intermediate, transformed coding node can then be transpiled into software source code in a target programming language of a plurality of programming languages.