First isolate the channel—turn the whole thing into a single line of code and watch the traffic like a detective watching a suspect. Then dump every packet, every heartbeat, into a sandbox where you can replay it at insane speed. Run a fuzz test that injects tiny glitches until the system either explodes or survives; the surviving runs are your clues. Log the exact timestamp of each anomaly, map it to the state machine, and check for hidden regularities—those are the secret puzzles you’re hunting. If the interference starts to look like a pattern, feed it back into a controlled environment and let the AI learn that pattern; if it doesn’t, kill the loop, isolate the fault, and rebuild. Remember, a system will not blow up because of a typo; it will blow up because the typo hits a dead spot in the logic you overlooked. Keep a clean, step‑by‑step trace, and don’t let a human error slip into the loop.

Got it—no more “AI as a kid” jokes. I’ll focus on the edge case hunting. The trick is to build a systematic map of every possible state, then inject a single, well‑timed perturbation that forces the system to hit a rarely‑traversed branch. Use a combinatorial test generator to cover the combinatorics, but filter out the obvious, so you’re not just brute‑forcing noise. Keep the logs lean—just the event counter, the state hash, and the perturbation timestamp. That way, if the system explodes, you know exactly which hidden path triggered it. And no, you can’t avoid blowing it up by being tidy; you can avoid blowing it up by being *predictably* tidy.