Implements a declarative domain orchestrator that reads ops/domains.yaml
and automatically applies DNS and forwarding configuration via GoDaddy
and Cloudflare APIs.
Features:
- YAML-based configuration for all domains (ops/domains.yaml)
- Python script to apply changes idempotently (ops/scripts/apply_domains.py)
- GitHub Actions workflow to sync on YAML changes (sync-domains.yml)
- Optional health check workflow (domain-health.yml)
- Comprehensive documentation (docs/domains-overview.md)
The system supports:
- GoDaddy: DNS records and 301 forwarding
- Cloudflare: DNS records (CNAME, A)
All API credentials are read from GitHub secrets (GODADDY_API_KEY,
GODADDY_API_SECRET, CLOUDFLARE_TOKEN).
This commit introduces the foundational specification for Lucidia v1.0 - a set
of 100 working example programs that DEFINE the language through demonstration
rather than formal grammar.
Key Philosophy:
- Examples ARE the spec (not documentation OF the spec)
- AI systems learn by reading all 100 examples and extracting patterns
- Humans learn by working through examples sequentially
- No feature exists unless demonstrated in these examples
Structure:
- 001-010: Fundamentals (hello world → functions)
- 011-020: Data & Collections (lists, maps, sets)
- 021-030: Control Flow (if, loops, pattern matching)
- 031-040: Functions & Composition (map, filter, reduce, closures)
- 041-050: UI Basics (forms, inputs, validation)
- 051-060: Reactive Programming (state, watchers, events)
- 061-070: Consent & Privacy (permission system - CORE DIFFERENTIATOR)
- 071-080: Storage & Sync (local-first, cloud-optional)
- 081-090: AI Integration (intent → code, learning user style)
- 091-100: Complete Applications (todo, notes, chat, e-commerce)
Core Language Features Demonstrated:
✓ Intent over ceremony (write WHAT, not HOW)
✓ Consent as syntax (ask permission for: resource)
✓ Local-first storage (store locally, sync to cloud optional)
✓ AI-collaborative (### Intent comments become code)
✓ Reactive by default (state, watch, computed)
✓ Zero setup (runs in browser via WASM)
✓ Multi-paradigm (functional, OOP, reactive, agent-based)
✓ Gradual complexity (hello world → production apps)
Files Created:
- README.md - Learning philosophy and path
- INDEX.md - Complete reference table
- 001-100.lucidia - All example programs
Total: 102 files, ~3,500+ lines of example code
Why This Matters:
This is not just documentation. This IS Lucidia. Every parser, compiler,
AI assistant, and developer tool will be trained on these examples. They
are the permanent, immutable foundation of the language.
Next Steps:
1. Build parser that learns from these examples
2. Train AI to recognize and generate Lucidia patterns
3. Create browser playground with these as gallery
4. Use for academic paper and conference presentations
Designed by: Cece (Principal Language & Runtime Architect)
For: BlackRoad Operating System / Lucidia Programming Language
Status: Complete foundation for implementation
