feat: full-stack indie games catalog with AI chat#2
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- Games CRUD: SQLite persistence via better-sqlite3, repository pattern (GamesRepository interface + SqliteGamesRepository), Zod validation, seed script with 10 sample games. - REST API: five route handlers (GET/POST /api/games, GET/PUT/DELETE /api/games/:id) with structured error responses and request body validation. - AI Chat: streaming chat via Vercel AI SDK + Anthropic claude-haiku-4-5, tool calling (list_games, find_game_by_title, catalog_summary, respond), structured output as a discriminated union (game | games | comparison | count | stats | text) rendered as rich cards in the UI. - UI: Next.js 16 App Router, mobile-first Tailwind v4, native <dialog> modals (bottom-sheet on mobile / centered on desktop), right-anchored chat drawer with backdrop, answer cards per output kind. - Docs: technical feature docs in docs/features/, specs in docs/specs/, CLAUDE.md with engineering rules and conventions.
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Games CRUD: SQLite persistence via better-sqlite3, repository pattern (GamesRepository interface + SqliteGamesRepository), Zod validation, seed script with 10 sample games.
REST API: five route handlers (GET/POST /api/games, GET/PUT/DELETE /api/games/:id) with structured error responses and request body validation.
AI Chat: streaming chat via Vercel AI SDK + Anthropic claude-haiku-4-5, tool calling (list_games, find_game_by_title, catalog_summary, respond), structured output as a discriminated union (game | games | comparison | count | stats | text) rendered as rich cards in the UI.
UI: Next.js 16 App Router, mobile-first Tailwind v4, native
modals (bottom-sheet on mobile / centered on desktop), right-anchored chat drawer with backdrop, answer cards per output kind.
Docs: technical feature docs in docs/features/, specs in docs/specs/, CLAUDE.md with engineering rules and conventions.
Submission
What I built: an application with dashboard using a CRUD for indie games, and a chat for information abaout the catalog using tool calling
How to run (complete instructions in README.md
Trade-offs: explained in README.md
Checklist
AI_WORKFLOW.mdincluded