Project Overview
Project Overview
My Advent of Code solutions repository contains efficient Rust implementations for the annual programming challenge. This project demonstrates algorithmic thinking, optimization techniques, and Rust proficiency.
Repository Features
- Complete Solutions: Multiple years of AoC challenges solved
- Performance Focused: Optimized algorithms for speed
- Clean Code: Well-structured, idiomatic Rust code
- Automated Testing: CI/CD pipeline for solution verification
Technical Approach
- Language: Rust for memory safety and performance
- Algorithms: Various techniques including:
- Dynamic programming
- Graph algorithms
- Mathematical optimization
- Pattern matching
- Testing: Automated tests for all solutions
- CI/CD: GitHub Actions for continuous testing
Learning Outcomes
- Algorithm Design: Practice with diverse problem types
- Rust Mastery: Advanced language features and patterns
- Performance Optimization: Benchmarking and optimization
- Problem Decomposition: Breaking complex problems into manageable parts
Notable Solutions
- Efficient pathfinding implementations
- Creative use of Rust's type system
- Performance optimizations achieving sub-millisecond execution
- Reusable utility functions for common patterns
Tech Stack
Rust
GitHub Actions
Cargo
Benchmarking
Security Features
Memory Safety
Rust's ownership system prevents memory vulnerabilities
Input Validation
Robust parsing to handle malformed puzzle inputs
Safe Concurrency
Parallel solutions using Rust's fearless concurrency