project-analyzer

Analyzing a Next.js and Prisma codebase involves extracting architecture, data models, and entity relationships to produce safe change plans. This ensures modifications respect TypeScript types, design conventions, and accessibility constraints without introducing regressions.

Mapping Prisma schema relationships involves extracting data models and entity connections directly from the repository. This identifies how the database integrates with the Next.js backend, ensuring future code edits maintain schema integrity.

Planning UI changes in a Next.js stack requires identifying impacted files and analyzing existing component patterns. This generates a safe implementation plan that enforces design system consistency, i18n conventions, and accessibility constraints.

Yes, automated codebase analysis can review totem check-in flow logic by extracting operational flows and API patterns from the repository. This allows you to verify behavior and propose minimal safe changes without breaking existing functionality.

Project analysis supports impact analysis for AI model handling by mapping operational flows within the TypeScript environment. It identifies necessary file modifications and outlines impact analysis to preserve AI model behavior during code changes.

AI-driven repository mapping relies on reading repository files and existing memory notes to understand complex Prisma schemas. Limitations include dependency on available documentation and the need for manual verification to ensure no implicit database relationships are missed.