cursor-local-dev-loop

# Cursor Local Dev Loop Establish a productive daily development workflow using Cursor's AI features at each stage of the code-write-test-commit cycle. ## The AI-Augmented Development Loop ``` ┌─────────────────────────────────────────────────────────────┐ │ 1. PLAN → Chat (Cmd+L) with @Codebase, @Docs │ │ 2. SCAFFOLD → Composer (Cmd+I) for new files │ │ 3. IMPLEMENT → Tab completion for line-by-line coding │ │ 4. REFINE → Inline Edit (Cmd+K) for targeted fixes │ │ 5. TEST → Chat to generate tests, terminal to run │ │ 6. COMMIT → AI-generated commit messages │ │ 7. REVIEW → @Git for branch diff review │ └─────────────────────────────────────────────────────────────┘ ``` ## Stage 1: Plan (Chat) Start each task by discussing architecture with Chat: ``` @Codebase @Docs Prisma I need to add a "favorites" feature where users can bookmark products. What's the best approach given our current data model and API structure? Consider: database schema, API endpoints, and frontend hooks. ``` Chat excels at: - Architecture decisions before writing code - Evaluating trade-offs (SQL join table vs JSON array, REST vs GraphQL) - Understanding existing patterns via `@Codebase` ## Stage 2: Scaffold (Composer) Once the plan is clear, use Composer for multi-file generation: ``` @src/api/users/route.ts @prisma/schema.prisma Create the favorites feature: 1. prisma/schema.prisma: Favorite model (us...