Real-Time Code Reviewer with Architecture Placemat for Transitive Dependency Analysis

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Solution Overview

Problem

Current code review tools for markup languages lack functional context and architectural impact analysis, failing to identify potential sub-object dependencies that could cause module failures due to unknown transitive dependencies.

Innovation Solution

A real-time functional code reviewer system with an architecture placemat, utilizing a central server and user devices, employs artificial intelligence algorithms to analyze markup language source code, generating functional context feedback and architectural impact analysis, displayed through augmented or virtual reality interfaces.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If current markup language review tools are used, then semantic validation is performed, but functional context and architectural impact analysis are not provided

Engineering Contradiction:

Improvefunctional context informationVSAvoidreview system complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The review system is segmented into multiple specialized modules: semantic validation module, functional context analysis module, architectural impact analysis module, and transitive dependency tracking module. Each module handles a specific aspect of code review, allowing comprehensive analysis while maintaining manageable complexity through modular architecture.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

An architecture placemat is introduced as an intermediary visual representation that displays architectural context, impacted modules, and transitive dependencies. This placemat acts as a mediator between the code reviewer and the complex dependency information, making architectural impacts visible without overwhelming the reviewer.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If comprehensive architectural impact analysis is provided, then module dependencies are identified, but review time and processing complexity increase

Engineering Contradiction:

Improvecode review accuracyVSAvoidreview time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis by pre-computing and storing architectural relationships, module dependencies, and transitive dependency graphs in the architecture placemat. When code changes are submitted, the system quickly queries this pre-prepared architectural context rather than analyzing entire codebases from scratch, significantly reducing review time while maintaining comprehensive accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Manual tracing of dependencies and architectural impacts is replaced with automated AI algorithms that analyze code changes and query the architecture placemat. This substitution of manual mechanical analysis with automated computational analysis provides comprehensive dependency identification without proportionally increasing review time.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If transitive dependencies are tracked, then module failures are prevented, but information processing requirements increase

Engineering Contradiction:

Improvemodule failure preventionVSAvoiddata processing volume

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The system extracts and isolates only the transitive dependencies relevant to the specific code change being reviewed, rather than processing the entire codebase's dependency graph. The architecture placemat displays only the impacted modules and their transitive dependencies, filtering out irrelevant information and reducing data processing requirements while maintaining comprehensive failure prevention.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20250321858A1Real-time functional code reviewer with architecture placemat

Publication Date: 2025.10.16 BANK OF AMERICA CORP

AI summary

Apparatus and methods for creating a real-time functional code reviewer with an architecture placemat are provided. The apparatus and methods may include a server with an artificial intelligence/machine learning (“AI/ML”) real-time functional code reviewer program. The real-time functional code reviewer program may receive source code in a markup language for review. The program may analyze the source code. The program may generate functional context feedback, review feedback, and an architecture placemat. A code reviewer, through a user device, may review the functional context feedback, review feedback, and the architecture placemat. The code reviewer may provide feedback to the source code developer.