# 090: AI Learning User Style
# AI adapts to your coding preferences

# After writing code for a while, AI learns your style

# You prefer functional programming:
numbers = [1, 2, 3, 4, 5]
doubled = numbers.map(x => x * 2)
evens = numbers.filter(x => x % 2 == 0)
total = numbers.reduce((sum, x) => sum + x, 0)

# AI notices and suggests functional style for new code:
### Intent: Filter active users and get their emails

# AI suggests (matching your style):
# active_emails = users
#   .filter(user => user.active)
#   .map(user => user.email)

# Instead of imperative:
# active_emails = []
# for user in users:
#   if user.active:
#     active_emails.append(user.email)

# You prefer verbose variable names:
user_email_address = "alex@example.com"
is_email_verified = false
total_purchase_amount = 0

# AI learns and suggests:
### Intent: Store user's phone number
# Suggested variable name: user_phone_number (not just "phone")

# You always add error handling:
fetch_user_data(id):
  try:
    return fetch "/api/users/{id}"
  catch error:
    show "Error loading user"
    return null

# AI learns pattern and auto-adds error handling to suggestions:
### Intent: Fetch product details

# AI suggests (with error handling, matching your style):
# fetch_product(id):
#   try:
#     return fetch "/api/products/{id}"
#   catch error:
#     show "Error loading product"
#     return null

# Style preferences stored locally
ai.get_learned_preferences()
# Returns:
# {
#   style: "functional",
#   naming: "verbose_snake_case",
#   error_handling: "always_try_catch",
#   comments: "minimal",
#   max_line_length: 80
# }

# You can override per-project
ai.set_preference("style", "object_oriented")  # For this project only

# AI becomes YOUR collaborator, not a generic one