The generated image is based on the simple prompt: "Create a humorous image highlighting the difficulty of programming in RUST." Even if the result is not perfect, I find it very relevant, and it made me laugh. I think every RUST programmer has struggled with the borrow checker.
I have developed a chess game in RUST offering a UCI allowing engine tournament. The link is the following: https://github.com/christophelc/chess_rust
The program is based on RUST and Actix actors.
- UCI interface: Compatible with tournament play.
- Engine algorithms:
- Iterative Deepening depth-first search with alpha beta pruning (other engine: minimax, mat solver, MCTS experiment)
- Additional experiments include Minimax, mate solver, and MCTS.
- Heuristics:
- Null move pruning
- Capture horizon effect
- Move preordering
- Transposition tables
- Killer move heuristic
- Aspiration windows
- FEN, SAN, EPD notations
Feedback and Observations:
- RUST Ecosystem:
- Cargo offers many useful tools like
cargo fmtfor code formatting andcargo clippyfor improving code quality.
- Cargo offers many useful tools like
- Testing
- Unit and Integration tests are well integrated
- Learning Rust with AI Assistance:
- AI tools can make learning Rust easier, but it’s essential to fully understand the code to stay on the right track.
- Actix Framework:
- Actix is an excellent framework, and it generally removes the need to spawn threads manually.
- However, be cautious when performing long computations in the Actix event loop, as this can block it.
- Expressivness
- Less powerful than Scala
- Sometimes, we need to split an expression in several parts due to temporary objects not managed by the compiler
- Type Management:
- Be mindful of type leaking. I use generics sparingly to avoid unnecessary complexity.
- Concurrency in Rust:
- Sharing objects safely between threads often requires using
MutexandArc.
- Sharing objects safely between threads often requires using
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