An engineer on DEV Community proposes a hybrid execution engine that marries Python’s asyncio with a native C‑level thread pool. The core idea is a Bus—a C‑implemented task queue that uses atomic push and pop operations to reduce the overhead of scheduling thousands of coroutines. The design splits the worker pool into GIL threads that run Python coroutines and C threads that execute pure C function pointers, allowing true parallelism for CPU‑bound work while still handling I/O‑heavy tasks in the event loop.

A separate Shared Memory Bus lets non‑GIL threads share large data structures without copying, keeping the Python heap isolated. The author outlines API calls such as `spawn()` for coroutines and `c_spawn()` for native functions, and offers introspection methods like `get_stats()` to monitor queue depth and thread utilization. While the concept promises lower task‑creation latency and higher throughput, the post acknowledges risks around memory safety, GIL contention, and graceful shutdown.

Community feedback is sought on thread‑borrowing strategies, lock‑free alternatives, and the feasibility of implementing this without core CPython changes.