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🦀 Rust Study - V-Cycle Learning Workspace

A systematic, engineering-driven approach to mastering Rust through formal software development methodology. This workspace follows the V-Cycle model for requirements-driven development, making it ideal for competitive programming preparation (especially Advent of Code) and building production-ready systems.

🎯 Learning Philosophy

This is not casual coding practice - it's a professional software engineering curriculum enhanced with evidence-based learning science. Every feature is traced from requirements to implementation to validation, while incorporating cognitive science research for accelerated skill acquisition.

Dual-Foundation Approach

1. V-Cycle Engineering Methodology

Requirements (REQ-1, REQ-2, etc.)
    ↓
Design Specification  
    ↓
Implementation
    ↓
Verification (Unit Tests)
    ↓
Validation (Integration Tests)
    ↓
Traceability Matrix

2. Cognitive Science Learning Protocol

Retrieval Practice → Spaced Repetition → Error Analysis
    ↓
Worked Examples → Faded Guidance → Independent Problem Solving  
    ↓
Metacognitive Reflection → Strategy Optimization

Key Integration: V-Cycle provides engineering rigor while learning science maximizes retention and transfer. See [[zettelkasten/developer-learning-habits]] for complete methodology.

🏗️ Workspace Organization

Hybrid Learning Structure

📁 missions/           # Core V-Cycle implementations
├── Mission1/          # Stack - LIFO operations
├── Mission2/          # Queue - Ring buffer + linked
├── Mission3/          # Binary Search - Traits & algorithms  
├── Mission4/          # LinkedList - Interior mutability
├── Mission5/          # HashMap/HashSet - Hash-based collections
├── Mission6/          # Grids & 2D Arrays - Spatial data structures
└── Mission7/          # Graph Representation - Adjacency lists & algorithms

📁 tutorials/          # Step-by-step learning progressions  
├── Mission4_tut/      # LinkedList tutorial - Box<T>, Rc<RefCell<T>>
├── Mission5_tut/      # HashMap tutorial - Hash algorithms & patterns
├── Mission6_tut/      # Grid tutorial - 2D navigation & pathfinding
└── Mission7_tut/      # Graph tutorial - DFS/BFS & graph algorithms

📁 advanced_examples/  # Real-world applications
├── Brackets_Basic/    # Stack validation (Mission1 extension)
├── Brackets_Ext/      # Advanced validation (Mission1 extension)
├── competitive_ring_bfs/    # BFS maze solver (Mission2 extension)
└── competitive_linked_tree/ # Tree algorithms (Mission2 extension)

📁 advent_of_code/     # AoC preparation & solutions
├── aoc_pattern_recognition/ # Algorithm pattern trainer
└── aoc2015/          # Complete 2015 solutions with analysis

📁 daily_study/        # Systematic concept progression
📁 rust_book/          # Chapter-by-chapter Rust fundamentals  
📁 zettelkasten/       # Cross-referenced knowledge management

Integration Benefits

  • Clear separation: Core missions vs learning progressions vs applications
  • Scalable structure: Easy to add Mission7-25 without root clutter
  • Educational flow: Tutorial → Mission → Advanced application
  • Professional organization: Follows industry-standard project layout

�📅 Parallel Daily Study Track

Week 1: Foundations (Ownership, Borrowing, Mutability)

  • Day 1: Ownership basics - move semantics, stack vs heap
  • Day 2: Borrowing rules - immutable and mutable references
  • Day 3: Lifetimes introduction - reference validity and scope
  • Day 4: Mutability patterns - mut, interior mutability concepts
  • Day 5: Option and Result - handling absence and errors
  • Day 6: Pattern matching - match, if let, destructuring
  • Day 7: Practice day - ownership puzzles and exercises

Week 2: Collections (Foundation Data Structures)

  • Day 8: Vectors - dynamic arrays, capacity vs length
  • Day 9: Strings - String vs &str, UTF-8, manipulation
  • Day 10: HashMaps - key-value storage, borrowing keys
  • Day 11: HashSets - unique collections, set operations
  • Day 12: BTreeMap & BTreeSet (ordered collections)
  • Day 13: Advanced Iterators (transforming and processing collections)
  • Day 14: Error Handling Patterns (robust error management)

Week 3: Abstractions (Traits, Lifetimes, Generics)

  • Day 15: Traits fundamentals - defining and implementing behavior
  • Day 16: Generic types - type parameters, constraints
  • Day 17: Lifetime annotations - explicit lifetime syntax
  • Day 18: Advanced traits - associated types, default implementations
  • Day 19: Trait objects - dynamic dispatch with dyn
  • Day 20: Advanced lifetimes - lifetime elision, 'static
  • Day 21: Generics + traits practice - building flexible APIs

Week 4: Applied Problem Solving (AoC-Style Problems)

  • Day 22: Grid fundamentals - 2D arrays, coordinate systems
  • Day 23: Grid navigation - directions, bounds checking, pathfinding setup
  • Day 24: Grid algorithms - flood fill, connected components
  • Day 25: Queue applications - BFS implementation, level traversal
  • Day 26: Advanced queues - priority queues, deque patterns
  • Day 27: String parsing - splitting, regex basics, custom parsers
  • Day 28: Input parsing patterns - handling AoC-style input formats

Week 5: Error Handling Mastery

  • Day 29: Custom error types - implementing std::error::Error
  • Day 30: Error propagation - ? operator chains, error conversion
  • Day 31: anyhow and thiserror - practical error handling crates
  • Day 32: Result combinators - and_then, or_else, map_err
  • Day 33: Panic recovery - catch_unwind, panic hooks
  • Day 34: Error handling patterns - when to panic vs return errors
  • Day 35: Error handling practice - building robust parsers

Week 6: Modules & Crate System

  • Day 36: Module basics - mod, pub, visibility rules
  • Day 37: Crate organization - lib vs bin, module trees
  • Day 38: Cargo features - conditional compilation, feature flags
  • Day 39: Workspace management - multi-crate projects
  • Day 40: Publishing crates - Cargo.toml, documentation, versioning
  • Day 41: External dependencies - choosing and using crates
  • Day 42: Module practice - organizing a complex project

Advanced Topics Reference 📦 ARCHIVED

📚 Advanced Curriculum Archive - Comprehensive 9-week advanced topics curriculum

Status: Archived during focus shift to AoC + Zettelkasten + Rust Book completion
Future Use: Post-AoC 2025 advanced mastery curriculum

Archived Topics Include:

  • Week 7: Advanced Type System (Associated types, HRTBs, phantom types, const generics)
  • Week 8: Concurrency Fundamentals (Threads, channels, Arc/Mutex, rayon)
  • Week 9: Async Programming (Futures, tokio, async I/O, error handling)
  • Week 10: Macros & Metaprogramming (Declarative, derive, attribute, function-like)
  • Week 11: Build Scripts & Procedural Macros (build.rs, code generation, parsing)
  • Week 12: Memory Management Advanced (Allocators, Pin/Unpin, unsafe, layout)
  • Week 13: SIMD (Parallel processing, vectorization, performance optimization)
  • Week 14: FFI (C integration, memory safety, bindgen, cross-language)
  • Week 15: WebAssembly (Browser deployment, performance, JavaScript integration)

Pull-When-Needed Strategy: Access specific advanced topics when AoC problems require them or when building complex projects that need specialized features.

Integration Path: Current focus (AoC + Zettelkasten + Rust Book) → Selective advanced topics → Complete advanced mastery

📚 Learning Progression

This is an engineering-driven approach to mastering Rust through formal software development methodology. This workspace follows the V-Cycle model for requirements-driven development, making it ideal for competitive programming preparation (especially Advent of Code) and building production-ready systems.

🎯 Learning Philosophy

This is not casual coding practice - it's a professional software engineering curriculum that treats Rust learning as a formal discipline. Every feature is traced from requirements to implementation to validation, building both language mastery and engineering rigor.

V-Cycle Methodology

Requirements (REQ-1, REQ-2, etc.)
    ↓
Design Specification  
    ↓
Implementation
    ↓
Verification (Unit Tests)
    ↓
Validation (Integration Tests)
    ↓
Traceability Matrix

Key Pattern: Every feature starts with numbered requirements that are directly traceable to tests and implementation.

�📚 Learning Progression

�️ Complete Rust + AoC Roadmap (V-Cycle Methodology)

Phase 0: Setup & Discipline

  • ✅ Mission 0: Environment setup (completed)
  • ✅ Mission 1: Stack Implementation - V-cycle foundation, ownership discipline
    • Focus: Ownership, borrowing, and memory safety
    • Requirements: REQ-1 to REQ-5 (Generic types, O(1) operations, ownership transfer)
    • Key Learning: Move vs Copy semantics, Option<T>, borrowing rules
    • Tests: 15+ unit tests with requirement traceability

Phase 1: Core Data Structures & Ownership

Many AoC puzzles require ad hoc stacks, queues, sets, maps, grids

  • ✅ Mission 2: FIFO Queue Systems - Ring buffer + linked queue

    • Focus: Memory layout optimization and performance
    • Requirements: REQ-G1 to REQ-L3 (Generic API, ring efficiency, linked flexibility)
    • Key Learning: Memory-efficient data structures, performance comparison
    • Tests: 32+ tests including stress testing and benchmarks

  • ✅ Mission 3: Binary Search & Traits - Traits, slices, iterators

    • Focus: Trait system, lifetimes, and iterator patterns
    • Requirements: REQ-1 to REQ-6 (Slice search, traits, iterators, AoC utilities)
    • Key Learning: Generic programming, lifetime management, zero-cost abstractions
    • Tests: 40+ tests (17 unit + 15 integration + 8 doc tests)

  • ✅ Mission 4: Singly Linked List - Interior mutability, Rc/RefCell patterns

    • Focus: Why Rust makes linked lists tricky, interior mutability
    • Requirements: REQ-1 to REQ-6 (Basic structure, Rc/RefCell, core ops, iteration, memory patterns, weak refs)
    • Key Learning: Ownership conflicts, reference counting, cycle prevention
    • Tests: 32+ unit tests + 18 doctests with requirement traceability
    • Status: ✅ Complete - Two implementations with comprehensive examples

  • ✅ Mission 5: HashMaps & HashSets - Dictionary data structures and set operations

    • Focus: Key-value storage, set operations, and competitive programming patterns
    • Requirements: REQ-1 to REQ-6 (Custom dictionary, set operations, counting patterns, multi-value maps, caching, AoC utilities)
    • Key Learning: Hash-based data structures, O(1) operations, frequency counting, memoization
    • Tests: 35+ unit tests + 20+ doctests with requirement traceability

  • 🔄 Mission 6: Grids & 2D Arrays - 2D coordinate systems and navigation for AoC map-based puzzles

    • Focus: Grid data structures, coordinate systems, and spatial algorithms
    • Requirements: REQ-1 to REQ-8 (Grid creation, indexing safety, coordinate conversion, direction navigation, bounds checking, pathfinding setup, iterator patterns, AoC utilities)
    • Key Learning: 2D array management, coordinate arithmetic, direction vectors, spatial reasoning
    • Applications: Maze navigation, cellular automata, flood fill, shortest path setup
    • Status: 🔄 In Progress - Foundation for AoC pathfinding and map navigation problems

  • ✅ Mission 7: Graph Representation - Adjacency lists, node storage, and graph algorithms foundation

    • Focus: Graph data structures, DFS/BFS implementation, and real-world applications
    • Requirements: REQ-1 to REQ-6 (Graph structure, edge management, algorithm foundation, DFS implementation, BFS implementation, integration examples)
    • Key Learning: Adjacency list representation, graph traversal algorithms, path finding, cycle detection, component analysis
    • Applications: Social network analysis, maze solving, dependency resolution, network topology analysis
    • Tests: 11+ unit tests with comprehensive coverage of all requirements
    • Status: ✅ Complete - Full V-Cycle implementation with tutorial support

Phase 2: Algorithms with Lifetimes & Traits

AoC loves pathfinding, recursion, DP

  • 🔄 Mission 8: BFS/DFS Algorithms - Advanced algorithmic patterns and optimizations
  • 🔄 Mission 9: Dijkstra / A* - Using binary heap
  • 🔄 Mission 10: Union-Find - Connectivity problems
  • 🔄 Mission 11: Dynamic Programming - Memoization with HashMap, lifetime issues

Phase 3: Parsing & Iterators

AoC puzzles are 70% parsing input quickly

  • 🔄 Mission 12: Custom Parsers - &str vs String, splitting, iterators
    • Byte-level escapes and length accounting (AoC2015 Day 8)
  • 🔄 Mission 13: Regex & Nom - When to use regex vs parser combinators
    • DAG evaluator with memoization (AoC2015 Day 7)
  • 🔄 Mission 14: Iterator Chains - map/filter/fold for AoC one-liners
    • String rewriting and search direction (AoC2015 Day 19)

Phase 4: Performance & Unsafe (optional)

Some AoC puzzles need speed for large inputs

  • 🔄 Mission 15: Profiling & Optimization - cargo criterion, flamegraph
    • Modular arithmetic toolkit (mod_pow, sieve, divisor sums) — AoC2015 Days 20, 25
    • Parallel brute-force harness with work distribution — AoC2015 Day 4
  • 🔄 Mission 16: Arena Allocation - Efficient node storage
  • 🔄 Mission 17: Bit Manipulation - Bitmasks for set problems (AoC Day 14, 2020)

Phase 5: Rust Design Patterns

  • 🔄 Mission 18: Builder Pattern - Fluent APIs and configuration objects
  • 🔄 Mission 19: State Machine - Finite state machines with type safety
    • Mini‑VM interpreter (register machine with jumps) — AoC2015 Day 23
    • Time‑segmented simulation & cycle math — AoC2015 Day 14
  • 🔄 Mission 20: Command Pattern - Encapsulating operations for undo/redo
  • 🔄 Mission 21: Observer Pattern - Event handling with channels and callbacks
  • 🔄 Mission 22: Strategy Pattern - Runtime algorithm selection with trait objects
  • 🔄 Mission 23: Factory Pattern - Object creation with associated types
  • 🔄 Mission 24: Decorator Pattern - Composable behavior with wrapper types
  • 🔄 Mission 25: Adapter Pattern - Interface compatibility between incompatible APIs

Phase 6: Advanced Systems & Specializations

Beyond standard applications: systems programming, web, and high-performance computing

  • 🔄 Mission 26: Build-Time Code Generation (build.rs) - Procedural macros and build scripts
  • 🔄 Mission 27: Unsafe Data Structures - Implementing a core data structure with raw pointers
  • 🔄 Mission 28: High-Performance Computing (SIMD) - Parallel data processing with SIMD
  • 🔄 Mission 29: WebAssembly Integration (WASM) - Building high-performance browser applications

🎮 Completed Problem-Solving Applications

📁 Advanced Examples: Detailed implementations showcasing real-world applications of Mission1/Mission2 data structures in competitive programming and production scenarios.

🔗 Brackets_Basic/ & Brackets_Ext/

Focus: Stack applications and parsing

  • ✅ Complete - Balanced bracket validation with extensions
  • Requirements: REQ-1 to REQ-9 (Basic validation + error collection + Unicode)
  • Key Learning: Real-world stack usage, error handling, UTF-8 processing
  • Examples: Parser building, syntax validation, educational tools
  • 📘 Deep Dive: See [[Q and A|advanced_examples/Brackets_Basic/Q and A]] for technical analysis (invariants, complexity proofs, memory safety)
  • 📘 Extended Guide: See [[README_EXTENDED|advanced_examples/Brackets_Basic/README_EXTENDED]] for advanced features (REQ-7/8/9, iterator API)

🌳 competitive_linked_tree/

Focus: Tree algorithms for competitive programming

  • ✅ Complete - Union-Find with path compression
  • Applications: Graph connectivity, MST algorithms, competitive programming
  • Integration: File-based testing with real datasets

🔵 competitive_ring_bfs/

Focus: Graph traversal with optimized queue

  • ✅ Complete - BFS pathfinding with ring buffer optimization
  • Applications: Maze solving, shortest path, AoC-style problems
  • Performance: Memory-efficient breadth-first search

🎄 AoC Framework Ready

📦 advent_of_code/

Focus: Comprehensive AoC preparation and competitive programming mastery

  • ✅ Pattern Recognition - Algorithm classification and template system
  • ✅ Historical Solutions - Complete AoC 2015 with analysis and optimization
  • Features: Pattern trainer, grid utilities, parser framework, performance benchmarking
  • Goal: Pattern-based problem solving for AoC 2025 domination

📦 aoc_scaffold_templates_with_tests/

Focus: Quick-start templates and testing infrastructure

  • ✅ Complete - Template system with testing infrastructure
  • Features: Grid utilities, parser framework, solver templates
  • Goal: Ready-to-use foundation for December AoC challenges

🔰 Foundation Reference (Rust Book Basics)

🛠️ Development Environment

Required Tools

# Core Rust toolchain
rustup (latest stable)
cargo
rust-analyzer (VS Code extension)

# Quality assurance
clippy (linting)
rustfmt (formatting)
cargo-criterion (benchmarking)

# Optional but recommended
VS Code Extensions:
- Rust Analyzer
- CodeLLDB (debugging)
- Test Explorer
- Error Lens

Standard Workflow

# Development cycle
cargo test                    # Run all tests
cargo clippy -- -D warnings  # Enforce design contracts
cargo fmt                    # Format code
cargo run --example demo     # Run demonstrations
cargo doc --open            # Generate documentation

📊 Project Statistics

Component Tests Requirements Status
Mission 1 (Stack) 15+ REQ-1 to REQ-5 ✅ Complete
Mission 2 (Queue) 32+ REQ-G1 to REQ-L3 ✅ Complete
Mission 3 (Search) 40+ REQ-1 to REQ-6 ✅ Complete
Mission 4 (Linked List) 50+ REQ-1 to REQ-6 ✅ Complete
Mission 5 (HashMaps) 30+ REQ-1 to REQ-8 ✅ Complete
Mission 6 (Grids) 25+ REQ-1 to REQ-8 🔄 In Progress
Mission 7 (Graphs) 11+ REQ-1 to REQ-6 🆕 Upcoming
Brackets Basic 20+ REQ-1 to REQ-6 ✅ Complete
Brackets Extended 25+ REQ-7 to REQ-9 ✅ Complete
Competitive Tree 15+ REQ-G1 to REQ-P3 ✅ Complete
Ring BFS 12+ REQ-B1 to REQ-P2 ✅ Complete
Total 295+ 70+ REQs

🎯 Key Learning Outcomes

Rust Language Mastery

  • ✅ Ownership & Borrowing: Move semantics, references, lifetimes
  • ✅ Type System: Generics, traits, associated types
  • ✅ Collections: HashMap/HashSet patterns, trait bounds (Eq + Hash)
  • ✅ Memory Safety: Compile-time guarantees, zero-cost abstractions
  • ✅ Interior Mutability: Rc<RefCell<T>>, runtime borrow checking
  • ✅ Smart Pointers: Box<T>, Rc<T>, RefCell<T>, Weak<T>
  • ✅ Performance: O(1) operations, memory layout optimization
  • ✅ Error Handling: Option<T>, Result<T,E>, panic strategies

Software Engineering Excellence

  • ✅ Requirements Engineering: Traceable, testable specifications
  • ✅ Test-Driven Development: Unit, integration, and property testing
  • ✅ Documentation Standards: Rustdoc with examples and guarantees
  • ✅ Performance Analysis: Benchmarking and optimization
  • ✅ Code Quality: Clippy compliance, formatting standards

Competitive Programming Readiness

  • ✅ Data Structures: Stack, Queue, Linked List, Tree, Graph algorithms
  • ✅ Algorithm Patterns: BFS, DFS, Union-Find, Binary Search
  • ✅ Memory Management: Box vs Rc ownership patterns, cycle prevention
  • ✅ Parsing & Validation: String processing, bracket matching
  • ✅ Grid Utilities: 2D navigation, coordinate systems
  • ✅ Performance Optimization: Memory-efficient implementations

🚦 Getting Started

1. Environment Setup

# Clone and explore
git clone <repo-url> rust_study
cd rust_study

# Test the environment
cargo test --workspace

2. Study Path Recommendations

For Beginners: Start with Ch1-Ch3, then Mission 1

cd rust_book/Ch1/hello_cargo && cargo run
cd ../../Mission1 && cargo test && cargo run --example demo

For Intermediate: Jump to Mission 2 or 3

cd Mission2 && cargo test && cargo run --example demo
cd ../Mission3 && cargo test && cargo run --example demo

For AoC Preparation: Focus on competitive programming modules

cd advanced_examples/competitive_ring_bfs && cargo test
cd ../competitive_linked_tree && cargo test
cd ../aoc_scaffold_templates_with_tests && cargo test

3. Explore the V-Cycle Documentation

Each mission includes comprehensive documentation:

  • README.md - Requirements and V-Cycle summary
  • src/lib.rs - API documentation with examples
  • tests/ - Requirement traceability
  • examples/ - Real-world usage demonstrations

🎄 Advent of Code Readiness

This workspace provides a complete competitive programming toolkit:

AoC Problem Type Rust Study Component Ready-to-Use Features
Parsing & Validation advanced_examples/Brackets_Basic/Ext Stack-based parsers, error collection
Graph Traversal advanced_examples/competitive_ring_bfs Optimized BFS, pathfinding
Tree Algorithms advanced_examples/competitive_linked_tree Union-Find, connectivity
Linked Structures Mission4 Interior mutability, shared ownership patterns
Search Problems Mission3 Binary search, trait abstractions
Data Processing Mission1/2 Efficient stack/queue operations
Grid Navigation Mission3 aoc_utils Coordinate systems, distance metrics

Contributing

This workspace follows strict V-Cycle methodology. When adding new missions:

  1. Define numbered requirements (REQ-X)
  2. Create traceability matrix
  3. Implement test-first approach
  4. Document with examples
  5. Validate against real-world scenarios

🤖 Automated Code Quality

This repository includes advanced automated workflows for continuous code quality improvement:

Nightly Clippy Automation

  • 🔧 Auto-Fix Workflow: Automatically applies safe clippy fixes and creates PRs
  • 📊 Analysis Workflow: Comprehensive reporting and issue tracking
  • ⏰ Schedule: Runs nightly at 2-3 AM EST for hands-off maintenance
  • 🎯 Benefits: Consistent code quality, learning opportunities, time savings

Key Features:

  • Automatically fixes common issues (unused imports, inefficient patterns, etc.)
  • Creates detailed Pull Requests with before/after analysis
  • Opens GitHub issues for manual fixes needed
  • Provides comprehensive artifacts and reports
  • Zero maintenance overhead for developers

📚 Full Documentation: Clippy Automation Guide

📖 Learning Resources

  • Primary: Each mission's README.md contains complete V-Cycle documentation
  • Reference: Comprehensive rustdoc generated with cargo doc --open
  • Practice: Examples in each mission demonstrate real-world usage
  • Validation: Test suites provide both learning and verification
  • Knowledge Management: [[zettelkasten/]] - Zettelkasten system for interconnected learning navigation
  • Documentation Standards: RUST_DOCUMENTATION_STANDARDS.md and RUST_TEST_DOCUMENTATION_STANDARDS.md

🔗 Zettelkasten Links

Navigation & Overview:

  • [[zettel-index]] - Main knowledge base entry point and navigation hub
  • [[3-Track Integration]] - Comprehensive learning system architecture
  • [[V-Cycle Methodology]] - Requirements-driven development approach
  • [[Daily Study MOC]] - Progressive learning track coordination

Mission Overviews:

  • [[mission-1]] - Stack implementation with LIFO semantics
  • [[mission-2]] - Queue with ring buffer optimization
  • [[mission-5]] - HashMap with collision resolution strategies
  • [[mission-8]] - Graph algorithms with trait composition

Learning Resources:

  • [[Rust Concepts MOC]] - Core language features and patterns
  • [[AoC Patterns MOC]] - Competitive programming algorithm patterns
  • [[Tutorial Engineering]] - Pedagogical design for step-by-step learning
  • [[Quality Assurance]] - Testing, documentation, and validation standards

Development Philosophy:

  • [[developer-learning-habits]] - Evidence-based learning methodology
  • [[V-Cycle in Rust Development]] - Engineering discipline application
  • [[Zero-Cost Abstractions]] - Performance-first design principles

Tags: #rust-study #v-cycle #competitive-programming #aoc #learning-system #engineering-discipline #3-track-integration

Links: [[zettel-index]] | [[3-Track Integration]] | [[V-Cycle Methodology]] | [[Daily Study MOC]] | [[AoC Patterns MOC]]

Status: 🚀 Production Ready - All core missions complete with comprehensive testing and documentation.

Goal: 🎄 AoC 2025 Domination - Building the skills and tools to excel in competitive programming while mastering Rust engineering principles.

📆 Planned Future Missions (1‑Week Each)

Each week is a focused V‑Cycle deep dive: requirements → design → implementation → tests → docs. These missions are chosen to reinforce AoC 2015 patterns with reusable tooling.

Week 12 — Byte‑Level Parsing & Escapes (AoC2015 Day 8)

  • Goal: Implement a byte‑oriented parser for string literals with escapes (", \, \xHH) and compute code vs memory lengths.
  • AoC Mapping: Day 8 (Strings in Code) — correct byte vs UTF‑8 semantics.
  • Deliverables:
    • byte_parser module with zero‑alloc scanning
    • Comprehensive unit tests (AoC examples + edge cases)
    • Benchmarks (byte scanning vs regex)

Week 13 — DAG Evaluator with Memoization (AoC2015 Day 7)

  • Goal: Parse wire expressions into a DAG and evaluate with memoized recursion and dependency analysis.
  • AoC Mapping: Day 7 (Some Assembly Required).
  • Deliverables:
    • Parser (regex or hand‑rolled) → DAG IR
    • Evaluator with memo, cycle detection, dependency ordering tools
    • Optional: topological visualization for debug

Week 14 — Combinatorics Toolkit & Pruning (AoC2015 Days 9, 13, 21)

  • Goal: Build combinations/permutations generators with pruning hooks and symmetry reductions.
  • AoC Mapping: Day 9 (TSP), Day 13 (Seating), Day 21 (Equipment).
  • Deliverables:
    • Heap’s algorithm, next_permutation, exact‑size combinations
    • Pruning traits (bounds check, partial score), symmetry filters
    • Example modules showing speedups vs naive

Week 15 — Backtracking: Subset Sum & K‑Partition (AoC2015 Days 17, 24)

  • Goal: Canonical backtracking templates for subset sum and k‑way equal‑sum partition with correctness guardrails.
  • AoC Mapping: Day 17 (Containers), Day 24 (It Hangs in the Balance).
  • Deliverables:
    • Index‑based subset generators, remainder construction utilities
    • Partition validator with base‑case short‑circuiting
    • Docs on early‑exit by primary objective and tie‑break rules

Week 16 — Modular Arithmetic & Number Theory (AoC2015 Days 20, 25)

  • Goal: modmath toolkit: fast pow mod, safe mod mul, gcd/lcm, sieve, divisor sum via prime factorization.
  • AoC Mapping: Day 20 (Divisors), Day 25 (Let It Snow).
  • Deliverables:
    • mod_pow, mod_mul_safe, divisor enumeration, prime sieve
    • Worked examples from Day 20/25; micro‑benchmarks

Week 17 — Mini‑VM Interpreter (AoC2015 Day 23)

  • Goal: Tiny register machine: PC, registers, jumps, inc/hlf/tpl ops; instruction set + tracing.
  • AoC Mapping: Day 23 (Opening the Turing Lock).
  • Deliverables:
    • IR + interpreter; step tracer and state snapshotting
    • Program loader and test harness with golden traces

Week 18 — String Rewriting & Search Direction (AoC2015 Day 19)

  • Goal: Rewriting frameworks for forward BFS and reverse greedy; document when greedy is correct.
  • AoC Mapping: Day 19 (Medicine for Rudolph).
  • Deliverables:
    • Rule application engine (match windows, reconstruction)
    • Bidirectional search examples; proof‑by‑structure docs for greedy

Week 19 — Time‑Segmented Simulation & Cycle Math (AoC2015 Day 14)

  • Goal: Simulation framework with both step simulation and closed‑form cycle analysis; dual scoring systems.
  • AoC Mapping: Day 14 (Reindeer Olympics).
  • Deliverables:
    • Cycle decomposition utilities; state machine harness
    • Part 1/2 scoring implementations with visual trace

Week 20 — Parallel Brute‑Force & Work Distribution (AoC2015 Day 4)

  • Goal: Parallel prefix search using rayon/threads with chunking, early termination, and progress reporting.
  • AoC Mapping: Day 4 (Ideal Stocking Stuffer).
  • Deliverables:
    • Threaded search harness; atomics for stop signals
    • Benchmarks: single‑thread vs parallel; correctness cross‑checks

Mission 12 (Week): Byte‑Level Parsing & Escapes (AoC15 Day 8)

  • Goal: Implement a byte‑oriented parser for string literals with escape sequences (", \, \xHH) and compute code vs memory lengths.
  • AoC Mapping: Day 8 (Strings in Code). Reinforces byte vs UTF‑8 semantics.
  • Deliverables:
    • byte_parser module with zero‑alloc scanning
    • Comprehensive unit tests (from AoC examples + edge cases)
    • Benchmarks comparing byte scanning vs regex

Mission 13 (Week): DAG Evaluator with Memoization (AoC15 Day 7)

  • Goal: Parse wire expressions into a DAG and evaluate with memoized recursion and dependency analysis.
  • AoC Mapping: Day 7 (Some Assembly Required).
  • Deliverables:
    • Parser (regex or hand‑rolled) → DAG IR
    • Evaluator with memo, cycle detection, dependency order tools
    • Visualization (optional): topological listing for debug

Mission 14 (Week): Combinatorics Toolkit & Pruning (AoC15 Days 9, 13, 21)

  • Goal: Implement combinations/permutations generators with pruning hooks and symmetry reductions.
  • AoC Mapping: Day 9 (TSP), Day 13 (Seating), Day 21 (Equipment).
  • Deliverables:
    • Heap’s algorithm, next_permutation, exact‑size combinations
    • Pruning traits (bounds check, partial score), symmetry filters
    • Example modules demonstrating speedups vs naive

Mission 15 (Week): Backtracking – Subset Sum & K‑Partition (AoC15 Days 17, 24)

  • Goal: Canonical backtracking templates for subset sum and k‑way equal‑sum partition with correctness guardrails.
  • AoC Mapping: Day 17 (Containers), Day 24 (Balance).
  • Deliverables:
    • Index‑based subset generators, remainder construction utilities
    • Partition validator with base‑case short‑circuiting
    • Docs on early‑exit by primary objective and tie‑break rules

Mission 16 (Week): Modular Arithmetic & Number Theory (AoC15 Days 20, 25)

  • Goal: Build a small modmath crate: fast pow mod, gcd/lcm, sieve, divisor sum via prime factorization.
  • AoC Mapping: Day 20 (Divisors), Day 25 (Let It Snow).
  • Deliverables:
    • mod_pow, mod_mul_safe, divisor enumeration, prime sieve
    • Worked examples from Day 20/25; micro‑benchmarks

Mission 17 (Week): Mini‑VM Interpreter (AoC15 Day 23)

  • Goal: Implement a tiny register machine: PC, registers, jumps, inc/hlf/tpl ops, and an instruction set with tracing.
  • AoC Mapping: Day 23 (Turing Lock).
  • Deliverables:
    • IR + interpreter; step tracer and state snapshotting
    • Program loader and test harness with golden traces

Mission 18 (Week): String Rewriting & Search Direction (AoC15 Day 19)

  • Goal: Develop rewriting frameworks for forward BFS and reverse greedy strategies; show when greedy is correct.
  • AoC Mapping: Day 19 (Medicine for Rudolph).
  • Deliverables:
    • Rule application engine (match windows, reconstruction)
    • Bidirectional search examples; proof‑by‑structure docs for greedy

Mission 19 (Week): Time‑Segmented Simulation & Cycle Math (AoC15 Day 14)

  • Goal: Build a simulation framework with both step simulation and closed‑form cycle analysis; dual scoring systems.
  • AoC Mapping: Day 14 (Reindeer Olympics).
  • Deliverables:
    • Cycle decomposition utilities; state machine harness
    • Part 1/2 scoring implementations with visual trace

Mission 20 (Week): Parallel Brute‑Force & Work Distribution (AoC15 Day 4)

  • Goal: Implement a parallel prefix search using rayon/threads with chunking, early termination, and progress reporting.
  • AoC Mapping: Day 4 (Stocking Stuffer).
  • Deliverables:
    • Threaded search harness; atomics for stop signals
    • Benchmarks: single‑thread vs parallel; correctness cross‑checks

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