AI Code Enhancement Workflow With Trusted Validation Feedback
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Solution Overview
Problem
Existing software in computing devices is often inefficient, leading to increased energy consumption, reduced scalability, and adverse impacts on business ROI, with inefficiencies exacerbated by the need for continuous updates and the potential for AI tools to produce incorrect results.
Innovation Solution
A code enhancement system utilizing artificial intelligence and machine learning to optimize software efficiency by generating multiple enhanced code versions, validated through trusted tools, ensuring compliance with input parameters and addressing evolving tool capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI tools are used to enhance code, then code efficiency and functionality are improved, but the risk of incorrect results and reliability issues increases
Solution Approach 1:
The patent introduces a verification system as an intermediary between AI code generation and final code deployment. This verification system includes multiple components that check code correctness, security, and performance before acceptance, thereby mitigating the reliability risks associated with AI tools while preserving their productivity benefits
Solution Approach 2:
The patent implements feedback mechanisms where the verification system provides continuous feedback on code quality, security vulnerabilities, and performance metrics. This feedback loop allows iterative improvement of AI-generated code, ensuring reliability while maintaining efficiency gains
2Adaptability or versatility
If existing software is continuously updated and upgraded, then software functionality is improved, but energy consumption and operational complexity increase
Solution Approach 1:
The patent applies preliminary action by using AI tools to predict and prepare for future software requirements before they arise. The system proactively generates and validates code enhancements in advance, allowing for more efficient updates and reducing the energy consumption associated with reactive software maintenance and frequent updates
3Productivity
If AI tools are used to generate code, then development speed is improved, but the complexity of validating and ensuring correctness increases
Solution Approach 1:
The patent segments the validation process into multiple independent verification stages, each handled by specialized verification components. This segmentation divides the complex validation task into manageable units that can be executed in parallel, maintaining high development speed while providing thorough validation through structured complexity management
Data Source
AI summary
A method for enhancing software code includes sectioning, by one or more artificial intelligence (AI) sectioning tools, to produce one or more versions of AI sectioned code. The method further includes enhancing, by one or more AI code enhancing tools, the one or more versions of AI sectioned code to produce a plurality of versions of AI enhanced codes. The method further includes evaluating, by one or more AI evaluation tools, the plurality of versions of AI enhanced codes to produce one or more evaluated AI enhanced codes. The method further includes evaluating, by one or more trusted evaluation tools, the one or more evaluated AI enhanced codes to produce a final version of enhanced code.