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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
106 lines
2.4 KiB
Plaintext
106 lines
2.4 KiB
Plaintext
# 093: Contact Manager
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# Store and organize contacts locally
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state contacts = load "contacts" locally or []
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state editing = null
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# Add contact
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form add_contact:
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input firstname -> new_contact.firstname
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input lastname -> new_contact.lastname
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input email -> new_contact.email
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validate: is_email
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input phone -> new_contact.phone
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input company -> new_contact.company
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button "Save Contact" -> save_contact(new_contact)
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save_contact(contact):
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contact.id = generate_id()
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contact.created_at = now()
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contact.favorite = false
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contacts.append(contact)
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store contacts locally as "contacts"
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# Clear form
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new_contact = {}
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show "Contact saved"
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# Edit contact
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edit_contact(id):
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editing = contacts.find(c => c.id == id)
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save_edit():
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contacts = contacts.map(c => {
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if c.id == editing.id:
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editing
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else:
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c
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})
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store contacts locally as "contacts"
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editing = null
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show "Contact updated"
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# Delete contact
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delete_contact(id):
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ask "Delete this contact?" -> confirm
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if confirm == "yes":
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contacts = contacts.filter(c => c.id != id)
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store contacts locally as "contacts"
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show "Contact deleted"
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# Toggle favorite
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toggle_favorite(id):
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contacts = contacts.map(c => {
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if c.id == id:
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{ ...c, favorite: not c.favorite }
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else:
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c
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})
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store contacts locally as "contacts"
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# Sort and filter
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state sort_by = "lastname"
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state show_favorites_only = false
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computed sorted_contacts = contacts
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.filter(c => not show_favorites_only or c.favorite)
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.sort_by(c => c[sort_by])
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# Export contacts
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export_contacts():
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csv = ai.transform(contacts, { to: "csv" })
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save_file("contacts.csv", csv)
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show "Contacts exported"
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# Import from phone (with consent)
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import_from_phone():
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ask permission for: device.contacts
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purpose: "Import your phone contacts"
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if granted:
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with consent.record:
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phone_contacts = read_device_contacts()
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contacts = contacts.concat(phone_contacts)
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store contacts locally as "contacts"
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show "Imported {phone_contacts.length} contacts"
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# Display
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for contact in sorted_contacts:
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show_contact_card:
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name: "{contact.firstname} {contact.lastname}"
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email: contact.email
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phone: contact.phone
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company: contact.company
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favorite: contact.favorite
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on_favorite: () => toggle_favorite(contact.id)
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on_edit: () => edit_contact(contact.id)
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on_delete: () => delete_contact(contact.id)
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generate_id():
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return now() + Math.random()
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