synjan/qa-demo-1

AI Summary: Implement comprehensive security scanning and vulnerability detection for the QA Test Manager application, including dependency scanning, secret detection, code security review, and reporting/alerts. This involves integrating GitHub Advanced Security features, SAST tools, and potentially secret scanning APIs. The goal is to achieve zero high/critical vulnerabilities and prevent secret leaks.

AI Summary: Set up automated code quality workflows for a Next.js project using GitHub Actions. This involves configuring ESLint, Prettier, TypeScript checks, bundle analysis, and integrating tools to detect code smells and suggest refactoring improvements. The goal is to maintain consistent code quality, prevent regressions, and improve performance. The project uses a file-based data storage system.

AI Summary: The task involves setting up automated code reviews using the Claude AI API within a GitHub Actions workflow for a Next.js project. This includes configuring the workflow to trigger on pull requests, defining review criteria specific to TypeScript, React, ESLint, and Next.js best practices, implementing inline code suggestions and automated approvals/rejections, and integrating with existing CI/CD pipelines. The goal is to ensure code quality, catch bugs early, and maintain consistent coding standards, with an acceptance criteria of sub-5-minute review times and a low false positive rate.

AI Summary: Remove trailing whitespace from specific lines in the `user-preferences.ts` file as indicated in the issue description. This is a minor code cleanup task to improve code consistency.

AI Summary: This task requires implementing automated testing enhancements using Claude (presumably an AI tool) within a Next.js application. This involves creating GitHub Actions workflows to automatically generate test cases from code changes, analyze test coverage, validate tests against implementation, and generate reports with suggestions and metrics. Integration with Jest/React Testing Library and the OpenAI API is necessary, aiming for 90%+ code coverage.