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Quality Assurance and AI

Goal

1. Create a Checklist to Use While Coding

2. Create a Checklist to Use During QA

3. Test the Checklist While Coding

4. Test the Checklist During QA

Coding Checklist

I'm working on a new feature. Please analyze the code in this file with the following checks to ensure consistency, maintainability, and adherence to project standards:

Naming conventions: Are all new variables, functions, and class names consistent with existing naming patterns across this repository (e.g., camelCase, snake_case, PascalCase)?

Logic duplication: Are there any repeated blocks or algorithms that already exist elsewhere in the codebase (including known utility functions or modules)?

Structural consistency: Does the code follow architectural patterns used in similar modules (e.g., standardized error handling, consistent import formatting, logging practices)?

Reusability: Are there opportunities to refactor code by using existing utilities, services, or helpers? Highlight specific function names or files.

Readability and maintainability: Are control structures, abstractions, and comments clear and aligned with the team’s coding style? Please suggest simplifications or alternative constructs where appropriate.

Include line numbers and reference comparable functions or files where patterns are broken or could be optimized.

QA Checklist

Please perform a detailed review of this pull request with attention to consistency, reuse, and design integrity across the codebase:

Naming validation: Do newly introduced variables, functions, and classes conform to existing naming conventions and semantic clarity?

Code reuse: Is there any redundant logic that should be replaced with existing utilities, modules, or shared components?

Import and module structure: Are there inconsistencies in import style or module architecture compared to established conventions?

Opportunity for abstraction: Identify any repeated logic or structures that could be abstracted for future reusability.

Simplification opportunities: Suggest improvements in readability or architectural clarity (e.g., replacing nested conditionals with guard clauses, reducing cognitive complexity).

Where applicable, reference specific filenames, function names, or code blocks that require attention or merit commendation.

© 2025 Tate Sigmon. All rights reserved.