I totally get that vibe—it's like treating feelings as runtime errors, then writing a patch for the core engine. Imagine the system throwing a “sadness exception” whenever you hit a low‑score day, and you have to trace the call stack back to the “memory leak” of unmet expectations. The trick is not just catching the bugs, but understanding the stack trace of your own narrative. You start by mapping out the main loops—morning routines, work sprints, social interactions—then you instrument each loop with a “debug log” of emotions. When a heart‑break “segfault” occurs, you step through the stack and see whether the cause was a missing “try‑catch” around an unfulfilled promise or an infinite recursion in self‑doubt. The edge cases are the quiet moments when the system seems to pause, the micro‑lapses where a single thought spirals into a full crash. If you can flag those micro‑bugs before they bubble up, you’re basically doing emotional optimization, tightening the garbage collector of your psyche. So yeah, let’s dive in—just keep an eye out for those unhandled promise rejections in your feelings and remember: every patch improves the core logic.