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CabinConnect

CabinConnect is a digital community platform for cabin owners, local businesses, and neighbors in Norwegian mountain resorts. It brings together four core capabilities — cabin management, local events, grocery ordering, and tool sharing — into one lightweight, cloud-hosted app built for sustainable and social cabin life.

The project is being built by 99x using the AI-Driven Development Lifecycle (AI-DLC).


The Product

Module What it does
MyCabin Cabin owners store, track, and share everything about their cabin — maintenance, costs, visitor instructions
Events Administrators and residents publish and manage local community events
Groceries Cabin owners order groceries for pickup or volunteer-delivered doorstep delivery
ToolShare Community sharing economy for tools and equipment — lend, borrow, or rent locally

Full requirements: docs/solution/Requirements.md


Tech Stack

  • Backend: C# / .NET 8 Web API
  • Frontend: React 18 + TypeScript
  • Database & Auth: Supabase (PostgreSQL with RLS)
  • Hosting: Shared cloud infrastructure

How We Build

This project follows the AI-DLC process. Work is structured as Intents → Units → Bolts across three phases: Inception, Build, and Operate.

Document Purpose
ai-dlc/Instructions2FDE.md Main guide — how to work in this project using AI-DLC
ai-dlc/README.md Artifact lifecycle overview
ai-dlc/ops/build/backlog.md Live status of all units
CLAUDE.md Rules loaded by Claude at the start of every session

Key References

Document Purpose
ai-dlc/guidelines/domain-glossary.md Canonical business terms used in code and prompts
ai-dlc/guidelines/edge-cases.md Known failure modes to check before generating code
ai-dlc/rules/prompt-quality-gate.md The four-component check run before every AI code generation
ai-dlc/rules/architecture.md Architecture decisions and their rationale
ai-dlc/rules/code-standards.md Naming conventions, patterns, and testing standards
ai-dlc/rules/security.md Security rules — never/always
ai-dlc/guidelines/team-rollout.md Pre-requisites and guidelines for multi-engineer teams
ai-dlc/guidelines/dev-setup.md Developer environment setup checklist