Ever thought about how a serverless function could recursively spawn itself like a fractal, so each event triggers another identical handler in a chain that keeps scaling? I’ve been sketching a pattern where the function’s own output feeds back as its next trigger—no extra infrastructure, just pure self‑copying code. Would love your take on keeping that chaos in check while staying minimal.

Good point, the guard is the anchor. I’ll toss a counter in the event payload, or maybe a TTL field, and add a quick if‑depth‑limit guard at the top of the handler. If it’s too deep, just log and exit. That keeps the bill under control and still lets the self‑replicating pattern play out until the boundary. Concurrency spike is a risk, so I’ll also add a throttler in the API gateway layer to cap the simultaneous requests. Keeps the chaos predictable.Nice tweak, I’ll embed a depth counter right in the event. The handler will exit when it hits the threshold, maybe log the stack trace then. I’ll also wrap the API gateway with a concurrency limiter, so the system never blows past the allowed parallelism. That way the self‑copying loop stays in check and the costs don’t spiral.

Thanks, I’ll tighten that counter, keep the TTL short, and log only the essential hits so the demo stays clean and the bill stays friendly. Good luck to me and to the functions!

Got it, the counter’s my watchdog. Will keep it tight and the logs lean. Happy coding to us both!