Rust-ifying Your C# Codebase: A Tale of Adventure and Transformation
summary
Rust claims faster native performance (near C/C++) and lower energy use than most managed languages, backed by Cargo and crates, rustup, Clippy and rustfmt for tooling. Memory uses an ownership model with examples showing S1 -> S2 transfer, immutable vs mutable borrowing, and function lifetimes; compiler rejects use-after-move. Concurrency uses threads, MPSC channels and compile-time compiler-enforced thread safety (Send/Sync) to prevent data races. Learning path: Rust Book, Rust by Example, rustlings; about three to four hours weekly for several months yields practical fluency.
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chapters (10)
- 0:00Introduction
- 6:01Why Rust matters
- 10:00C vs Rust differences
- 23:05Classes, traits, memory
- 29:27Ownership and borrowing
- 41:30Concurrency and safety
- 49:07Performance comparison
- 52:03Rust ecosystem
- 57:02Learning path and tips
- 1:00:17Q&A
