c5c3f41e08
- Structured logging: replace log.* with log/slog JSON output across backend - Request logger middleware: logs method, path, status, duration for all non-health requests - Rate limiting: token bucket (5 req/min, burst 10) on AI endpoints (/api/ai/*) - Integration tests: full critical path test (auth -> create case -> add deadline -> dashboard) - Seed demo data: 1 tenant, 5 cases with deadlines/appointments/parties/events - docker-compose.yml: add all required env vars (DATABASE_URL, SUPABASE_*, ANTHROPIC_API_KEY) - .env.example: document all env vars including DATABASE_URL and CalDAV note
KanzlAI-mGMT
Kanzleimanagement online — law firm management for deadlines, appointments, and case tracking.
Structure
backend/ Go API server
frontend/ Next.js 15 (TypeScript, Tailwind CSS)
Development
make dev-backend # Go server on :8080
make dev-frontend # Next.js dev server
make build # Build both
make lint # Lint both
make test # Test both
Tech Stack
- Frontend: Next.js 15, TypeScript, Tailwind CSS
- Backend: Go
- Database: Supabase (PostgreSQL) —
kanzlaischema - Deploy: Dokploy on mLake (kanzlai.msbls.de)