sota-async-concurrency

Race conditions and deadlocks in async programming can be detected through rule-based code auditing. This approach inspects existing code to identify concurrency issues like resource leaks and data corruption without requiring bug reproduction.

Concurrency auditing supports cross-language runtimes including Python asyncio, JavaScript/Node, Go, Rust, and JVM. It analyzes async/await operations, threads, processes, event loops, task groups, channels, and queues across these environments.

Enforcing concurrency rules for event loops and task groups involves applying targeted static analysis to the codebase. This identifies and prevents asynchronous errors and resource leaks in concurrent task execution.

Resource leaks in Python asyncio code are prevented by scanning for improper async/await handling and unclosed task groups. The analysis targets event loops and queues to ensure proper resource cleanup in concurrent operations.

Concurrency analysis works directly with threading, multiprocessing, and concurrent.futures. It evaluates these dependencies to detect deadlocks and race conditions in both threaded and asynchronous code workflows.