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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
69 lines
1.5 KiB
Plaintext
69 lines
1.5 KiB
Plaintext
# 079: Offline-First Pattern
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# App works without internet, syncs when available
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# Always write to local first
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save_note(note):
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# Save locally immediately
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notes = load "notes" locally or []
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note.id = generate_id()
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note.synced = false
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notes.append(note)
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store notes locally as "notes"
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show "Note saved"
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# Try to sync in background
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if network.online:
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sync_in_background(note)
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else:
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show "(Will sync when online)"
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# Background sync
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sync_in_background(note):
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try:
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sync note to cloud
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note.synced = true
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update_note(note)
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catch:
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# Sync failed, will retry later
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queue_for_retry(note)
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# Load data (local always available)
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load_notes():
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notes = load "notes" locally or []
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# Try to fetch updates from cloud
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if network.online:
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cloud_notes = fetch_from_cloud("notes")
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merged = merge_notes(notes, cloud_notes)
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store merged locally as "notes"
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return merged
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else:
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# Offline - return local data
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return notes
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# Indicate sync status
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display_notes():
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notes = load_notes()
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for note in notes:
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show note.text
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if note.synced:
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show "✓ Synced"
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else:
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show "⋯ Pending sync"
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# Retry pending syncs when back online
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on network.online:
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pending = load "sync_queue" locally or []
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for item in pending:
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sync item to cloud
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mark_as_synced(item)
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delete "sync_queue" locally
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show "Synced {pending.length} pending items"
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# The app ALWAYS works locally
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# Cloud is enhancement, not requirement
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