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-# Next Steps: Immutable Real-World Programming Features
-
-## Overview
-
-This document outlines the plan for extending the Simple Scripting Language to support real-world programming scenarios while maintaining its immutable, functional design philosophy.
-
-## Core Principles
-
-- **Immutability First**: All data structures are immutable
-- **Transformation Over Mutation**: Operations return new data rather than modifying existing data
-- **Functional Composition**: Complex operations built from simple, composable functions
-- **Type Safety**: Enhanced pattern matching and type checking
-- **Performance**: Efficient persistent data structures
-
-## Phase 1: String Operations and Type System
-
-### 1.1 String Operations
-**Goal**: Add essential string manipulation capabilities
-
-**New Functions**:
-```javascript
-// String operations as functions
-length : string.length "hello";           // 5
-contains : string.contains "hello" "ll";  // true
-startsWith : string.startsWith "hello" "he"; // true
-endsWith : string.endsWith "hello" "lo";  // true
-substring : string.substring "hello" 1 3; // "el"
-
-// String concatenation
-result : string.concat "Hello" " " "World"; // "Hello World"
-
-// String transformation
-uppercase : string.upper "hello";         // "HELLO"
-lowercase : string.lower "HELLO";         // "hello"
-trimmed : string.trim "  hello  ";        // "hello"
-```
-
-**Implementation**:
-- Add `string.` namespace for string operations
-- Add string operation functions to standard library
-- No new syntax - uses existing function call patterns
-- Extend existing string literal support
-
-### 1.2 Runtime Type Checking with `is` Keyword
-**Goal**: Add explicit, optional type checking mechanism using the `is` keyword
-
-**Design Philosophy**:
-- Type checking is purely additive - no breaking changes to existing code
-- Works seamlessly with existing case expression syntax
-- Returns boolean values, fitting the functional style
-- Simple implementation with clear semantics
-
-**New Features**:
-```javascript
-// Basic type checking
-isNumber : x -> x is number;
-isString : x -> x is string;
-isTable : x -> x is table;
-isFunction : x -> x is function;
-
-// Type-safe operations in case expressions
-safeStringOp : x -> case x of
-    x is string : string.length x
-    _ : "not a string";
-
-// Complex type validation
-validateUser : user -> case user of
-    user.name is string and user.age is number : true
-    _ : false;
-
-// Type guards in pattern matching
-processData : data -> case data of
-    data is table : "processing table"
-    data is string : "processing string"
-    data is number : "processing number"
-    _ : "unknown type";
-```
-
-**Supported Types**:
-- `number` (both integers and floats)
-- `string` 
-- `boolean`
-- `table` (objects and arrays)
-- `function`
-
-**Implementation**:
-- Add `IS` token type and type-specific tokens (`NUMBER_TYPE`, `STRING_TYPE`, etc.)
-- Update lexer to recognize `is` keyword and type names
-- Extend parser to handle type checking expressions in case patterns
-- Add type checking logic in interpreter that returns boolean values
-- No changes to existing syntax or semantics
-
-## Phase 2: Persistent Data Structures
-
-### 2.1 Immutable Tables with Transformations
-**Goal**: Replace mutable table operations with immutable transformations
-
-**Current Problem**:
-```javascript
-// This won't work (mutable)
-cache[key] = value;
-```
-
-**Solution - Functional Immutable Transformations**:
-```javascript
-// Functional transformations using table namespace
-cache : {};
-cache1 : table.set cache "user.1" "Alice";
-cache2 : table.set cache1 "user.2" "Bob";
-value : table.get cache2 "user.1";  // "Alice"
-cache3 : table.delete cache2 "user.1";
-
-// Nested updates with dot notation
-user : {name: "Alice", profile: {age: 25}};
-updatedUser : table.set user "profile.age" 26;
-
-// Complex transformations using composition
-cache1 : pipe
-    (table.set "user.1" "Alice")
-    (table.set "user.2" "Bob")
-    (table.set "user.3" "Charlie")
-    cache;
-
-// Table merging
-combined : table.merge table1 table2;
-```
-
-**Implementation**:
-- Add `table.set`, `table.get`, `table.delete`, `table.merge` functions
-- Implement efficient structural sharing for immutable updates
-- Add nested key support (e.g., "profile.age")
-- All functions return new tables, never modify originals
-- Use existing function composition patterns
-
-### 2.2 APL-Inspired Table Primitives
-**Goal**: Enhance tables with APL-style operations for ergonomic data manipulation
-
-**Design Philosophy**:
-- Use existing table syntax for array-like behavior
-- Add APL-inspired primitives for vectorized operations
-- Keep immutable transformations
-- Provide concise, expressive data manipulation
-
-**New Features**:
-```javascript
-// Table creation (array-like using existing syntax)
-numbers : {1, 2, 3, 4, 5};
-mixed : {1, "hello", true, {key: "value"}};
-
-// All table operations namespaced for consistency
-first : table.first numbers;              // First element
-last : table.last numbers;                // Last element
-length : table.length numbers;            // Size/shape
-
-// Less common operations (namespaced)
-rest : table.drop 1 numbers;        // Drop first element  
-slice : table.slice numbers 2 3;    // Elements 2-3
-
-// Vectorized operations
-doubled : table.add numbers numbers;      // Element-wise addition
-squared : table.multiply numbers numbers; // Element-wise multiplication
-incremented : table.add numbers 1;        // Scalar addition to each element
-
-// Reductions (all namespaced)
-sum : table.sum numbers;                 // Sum reduction
-max : table.max numbers;                 // Maximum reduction
-min : table.min numbers;                 // Minimum reduction
-product : table.product numbers;   // Product reduction
-average : table.average numbers;   // Average reduction
-
-// Scan operations (namespaced)
-runningSum : table.scan table.sum numbers;        // Running sum scan
-runningProduct : table.scan table.product numbers; // Running product scan
-
-// Table metadata operations
-keys : table.keys table;           // Get all keys
-values : table.values table;       // Get all values
-reversed : table.reverse table;    // Reverse order
-sorted : table.sort table;         // Sort
-unique : table.unique table;       // Remove duplicates
-```
-
-**Implementation**:
-- Add `table.` namespace for all table operations
-- Extend lexer to recognize table operation keywords
-- Add vectorized operation logic in interpreter
-- Implement reduction and scan operations
-- Add table metadata operations
-
-## Phase 3: Higher-Order Functions for Collections
-
-### 3.1 Enhanced Standard Library
-**Goal**: Add collection processing functions
-
-**New Functions**:
-```javascript
-// Table processing (using namespaced primitives)
-numbers : {1, 2, 3, 4, 5};
-doubled : map @double numbers;                // {2, 4, 6, 8, 10}
-evens : filter @isEven numbers;               // {2, 4}
-sum : table.sum numbers;                      // 15 (sum reduction)
-
-// Table metadata operations
-table : {a: 1, b: 2, c: 3};
-keys : table.keys table;                      // {a, b, c}
-values : table.values table;                  // {1, 2, 3}
-pairs : table.pairs table;                    // {{a, 1}, {b, 2}, {c, 3}}
-
-// Advanced operations with tables
-nested : {{1, 2}, {3, 4}, {5}};
-flattened : table.flatten nested;             // {1, 2, 3, 4, 5}
-grouped : table.groupBy @isEven numbers;     // {true: {2, 4}, false: {1, 3, 5}}
-
-// Table operations
-reversed : table.reverse numbers;             // {5, 4, 3, 2, 1}
-sorted : table.sort numbers;                  // {1, 2, 3, 4, 5}
-unique : table.unique {1, 2, 2, 3, 3, 4};   // {1, 2, 3, 4}
-```
-
-**Implementation**:
-- Extend existing `map`, `filter`, `reduce` to work with tables
-- Implement vectorized operations for tables
-- Add reduction and scan operations
-- Implement table metadata operations
-
-### 3.2 Table Generation Helpers
-**Goal**: Add convenient table creation functions
-
-**New Functions**:
-```javascript
-// Table generation helpers
-range : table.range 1 5;           // {1, 2, 3, 4, 5}
-repeated : table.repeat "hello" 3; // {"hello", "hello", "hello"}
-
-// Use existing map/filter instead of comprehensions
-squares : map (x -> x * x) {1, 2, 3, 4, 5};
-evens : filter @isEven {1, 2, 3, 4, 5};
-```
-
-## Phase 4: Error Handling with Error Type
-
-### 4.1 Error Type
-**Goal**: Provide consistent error handling without complex monads
-
-**Implementation**:
-```javascript
-// Simple error type
-error : message -> {type: "error", message: message};
-
-// Safe operations with error handling
-safeDivide : x y -> case y of
-    0 : error "division by zero"
-    _ : x / y;
-
-safeParseNumber : str -> case str of
-    str is number : str
-    _ : error "invalid number";
-
-// Error checking
-isError : value -> value is error;
-getErrorMessage : error -> case error of
-    {type: "error", message: m} : m;
-```
-
-## Phase 5: Real-World Scenario Support
-
-### 5.1 User Management System
-**Immutable Implementation**:
-```javascript
-// User validation
-isValidEmail : email -> case email of
-    email contains "@" : true
-    _ : false;
-
-createUser : name email age -> case (isValidEmail email) and (isValidAge age) of
-    true : {name: name, email: email, age: age, status: "active"}
-    false : error "invalid user data";
-
-// User management
-users : {};
-user1 : createUser "Alice" "alice@example.com" 25;
-users1 : table.set users "user.1" user1;
-user2 : createUser "Bob" "bob@example.com" 30;
-users2 : table.set users1 "user.2" user2;
-
-// Safe user lookup
-findUser : email users -> case users of
-    {} : error "user not found"
-    _ : case (table.first users).email = email of
-        true : table.first users
-        false : findUser email (table.drop 1 users);
-```
-
-### 5.2 Shopping Cart System
-**Immutable Implementation**:
-```javascript
-// Cart operations
-emptyCart : {items: {}, total: 0};
-addItem : cart item -> {
-    items: table.set cart.items (table.length cart.items + 1) item,
-    total: cart.total + item.price
-};
-removeItem : cart itemId -> {
-    items: filter (item -> item.id != itemId) cart.items,
-    total: calculateTotal (filter (item -> item.id != itemId) cart.items)
-};
-
-// Discount application
-applyDiscount : cart discountPercent -> {
-    items: cart.items,
-    total: cart.total * (1 - discountPercent / 100)
-};
-```
-
-### 5.3 Data Processing Pipeline
-**Immutable Implementation**:
-```javascript
-// Data processing
-salesData : {
-    {month: "Jan", sales: 1000, region: "North"},
-    {month: "Feb", sales: 1200, region: "North"},
-    {month: "Mar", sales: 800, region: "South"}
-};
-
-// Filter by region
-filterByRegion : data region -> filter (item -> item.region = region) data;
-
-// Calculate totals using sum reduction
-sumSales : data -> table.sum (map (item -> item.sales) data);
-
-// Process pipeline
-northData : filterByRegion salesData "North";
-northTotal : sumSales northData;
-```
-
-## Implementation Timeline
-
-### Week 1-2: String Operations and Runtime Type Checking
-- [ ] String concatenation operator
-- [ ] String method implementations
-- [ ] `is` keyword and type checking tokens
-- [ ] Type checking in case expressions
-- [ ] Type validation functions in standard library
-
-### Week 3-4: Table Primitives with Namespacing
-- [ ] `table.` namespace for all table operations
-- [ ] Vectorized operations for tables
-- [ ] Reduction and scan operations
-- [ ] Table metadata operations
-- [ ] Performance optimization
-
-### Week 5-6: Higher-Order Functions
-- [ ] Enhanced standard library
-- [ ] Collection processing functions
-- [ ] Table-specific operations
-- [ ] Utility functions
-
-### Week 7-8: Error Handling
-- [ ] Error type implementation
-- [ ] Error handling patterns
-- [ ] Error checking functions
-- [ ] Integration with existing operations
-
-### Week 9-10: Real-World Scenarios
-- [ ] User management system
-- [ ] Shopping cart system
-- [ ] Data processing pipeline
-- [ ] Integration testing
-
-## Benefits of Runtime Type Checking Approach
-
-### Simplicity
-- **Minimal Implementation**: Only need to add `is` keyword and type checking logic
-- **No Breaking Changes**: Existing code continues to work unchanged
-- **Clear Semantics**: `x is number` is obviously a boolean expression
-- **Consistent Syntax**: Works seamlessly with existing case expressions
-
-### Functional Design
-- **Boolean Results**: Type checking returns true/false, fitting functional style
-- **Composable**: Can combine with logical operators (`and`, `or`, `not`)
-- **Pattern Matching**: Integrates naturally with case expressions
-- **No Side Effects**: Pure functions for type validation
-
-### Extensibility
-- **Easy to Add Types**: Simple to extend for new types (arrays, tuples, etc.)
-- **Custom Types**: Can implement custom type checking via functions
-- **Performance**: Runtime overhead only when explicitly used
-- **Optional**: No requirement to use type checking in existing code
-
-## Testing Strategy
-
-### Unit Tests
-- String operation tests
-- Runtime type checking tests (`is` keyword)
-- Type validation function tests
-- Data structure transformation tests
-- Higher-order function tests
-- Error handling tests
-
-### Integration Tests
-- Real-world scenario tests
-- Performance tests
-- Edge case tests
-- Error handling tests
-
-### Performance Benchmarks
-- Data structure operation performance
-- Memory usage analysis
-- Transformation efficiency
-- Scalability testing
-
-## Success Metrics
-
-- [ ] All real-world scenarios in `tests/17_real_world_scenarios.txt` pass
-- [ ] Performance within acceptable bounds (no more than 2x slower than current)
-- [ ] Memory usage remains reasonable
-- [ ] Code remains readable and maintainable
-- [ ] Backward compatibility maintained
-
-## Future Considerations
-
-### Advanced Features (Post-v1.0)
-- Lazy evaluation for large collections
-- Parallel processing capabilities
-- Advanced type system with generics
-- Macro system for code generation
-- Module system for code organization
-
-### Performance Optimizations
-- Structural sharing for immutable data structures
-- Compile-time optimizations
-- JIT compilation for hot paths
-- Memory pooling for temporary objects
-
-This plan maintains the language's functional, immutable design while adding the capabilities needed for real-world programming scenarios. 
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