m07-concurrency

Fix Rust async future not Send errors by diagnosing cross-thread data sharing violations and applying correct async task management patterns to ensure safety guarantees across std::thread, Arc, and Mutex.

You need Arc and Mutex for cross-thread data sharing in Rust when multiple threads require safe concurrent access to shared state, ensuring synchronization and preventing data races across std::thread boundaries.

The best way to choose between RwLock and channels involves evaluating async task management requirements, selecting primitives based on read-heavy access patterns versus message-passing needs for robust concurrent code.

Rust async tasks fail Send checks when shared state lacks thread-safe synchronization, requiring structured async patterns and domain-guided tracing to identify anti-patterns and implement safe cross-thread data sharing.

You can use std::thread with Tokio async tasks by applying structured patterns for async versus thread-based concurrency, ensuring correct error handling and safety guarantees across mixed concurrency models.

Common anti-patterns when designing Rust concurrency with Arc and Mutex include improper guardrail usage and unsafe cross-thread data sharing, which domain-agnostic strategies and best-practice templates resolve for production-grade concurrent code.