Is Python's asyncio.TaskGroup (3.11+) gaining popularity as the preferred way to manage concurrent async tasks in 2025 production code?

# OLD: asyncio.gather() - Zombie tasks on cancel
async def old_way():
    tasks = [asyncio.create_task(api_call(i)) for i in range(10)]
    try:
        return await asyncio.gather(*tasks)  # Cancel doesn't propagate
    except: pass  # Some tasks keep running!

# NEW: TaskGroup (3.11+) - Atomic cancel + exception grouping
async def modern_way():
    async with asyncio.TaskGroup() as tg:
        tasks = [tg.create_task(api_call(i)) for i in range(10)]
    return [task.result() for task in tasks]  # All cancelled atomically

# Production: FastAPI endpoint
@app.get("/batch")
async def batch_process():
    async with asyncio.TaskGroup() as tg:
        tg.create_task(fetch_users())
        tg.create_task(fetch_orders())
        tg.create_task(compute_stats())  # All cancel together