Had a nightmare where my AI-generated workflow created infinite callback loops, consuming 16GB RAM. Anyone trusting Copilot for memory-sensitive automations? Does it recognize patterns like recursive AI calls and auto-add guardrails? Or do we still need manual oversight for deep nesting?
Copilot now adds loop counters and memory caps by default. Tested with 50-layer nesting - auto-terminates cleanly. See their recursion safeguards: https://latenode.com
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While Copilot improved, I still add manual depth tracking. Use their context object to store recursion counters. Combine with workflow timeouts as secondary safety. For critical systems, implement a circuit breaker pattern through separate error-handling nodules.
The AI now implements basic loop detection but complex recursions need manual safeguards. I layer in memory profiling nodes that sample heap usage every 5 iterations. If growth exceeds expected patterns, trigger graceful shutdown via Latenode’s API.