I Was Flying Blind and Calling It Intuition

For a long time, I operated with almost no real visibility into what my system was actually doing on the inside. I would make decisions about it by guessing what was probably happening in there, and at some point I had quietly relabeled that guessing as intuition. The single highest-leverage thing I eventually did for the whole project was embarrassingly simple: I turned on the lights.

It is strange, in retrospect, how long I tolerated working in the dark. I think I assumed that the hard part was the thinking, and that being able to see was a luxury. I had it exactly backwards.

Debugging in the dark

When something went wrong — and something was always going wrong — I had no real way to look inside and see what had happened. I could see what went in, and I could see what came out, and the entire space in between was a sealed black box. My whole debugging process, such as it was, consisted of forming a theory about what might be happening in that box, changing something, watching whether the output got better or worse, and repeating.

This is debugging by guess-and-check, conducted completely blind to the actual mechanism. It is slow, it is maddening, and worst of all it is unreliable in a way that hides itself: when the output happens to improve, you credit your theory, even though you never actually confirmed the theory was right. You are navigating a dark room by occasionally bumping into things and inferring the furniture.

Guessing dressed up as intuition

The genuinely dangerous part was the story I told myself about it. I came to believe I had developed a feel for the system — that I “just knew,” somehow, where the problem probably was. I treated this as a kind of hard-won intuition, the sort experienced people are supposed to have.

But real intuition is compressed experience: a great deal of genuine observation, distilled over time into fast judgment. What I had was not that. What I had was compressed ignorance — hope and pattern-matching applied to far too little actual information, dressed up in the language of expertise. Because I could not see what was really happening, I invented plausible stories about it, and then, fatally, I trusted my own inventions. A guess repeated confidently enough starts to feel like knowledge, especially when there is no visibility around to contradict it.

You cannot fix what you cannot see

The realization, when it finally landed, was almost insultingly obvious. My bottleneck was not my cleverness at solving problems. It was my near-total inability to observe them in the first place. An enormous fraction of debugging, it turns out, is simply being able to see what is actually happening — and I had been trying to skip that step entirely and go straight to the solving.

Without observation, even the sharpest reasoning in the world is just being applied to imagined facts. You can reason flawlessly from premises you made up and arrive, with great confidence, nowhere. I was doing exactly that, over and over, and mistaking the confidence for progress. The quality of my thinking was almost irrelevant when the inputs to that thinking were guesses.

Observability is not free, and it is not optional

The fix was a stretch of deeply unglamorous infrastructure work: logging the right things, recording what the system actually saw and did and why at each step, and building ways to look inside it while it was running. None of this produces a visible feature. None of it feels, in the moment, like real progress — it feels like a detour away from the exciting work, a tax you pay instead of building.

That framing is exactly the mistake. This work is not a detour from real progress; it is the precondition for it, because it is the thing that converts guessing into seeing. Every hour spent making the system observable paid itself back many times over in hours not spent flailing blindly against problems I could not even look at. I had been treating the ability to see as optional. It is closer to the foundation everything else stands on.

The shape of good visibility

One subtlety I had to learn is that observability is not the same as logging everything. A firehose of undifferentiated detail is its own kind of blindness — when everything is recorded, nothing is findable, and you drown in noise exactly when you most need signal. More is not the goal.

Good visibility is designed around the questions you will actually need to answer when things go wrong. What did the system see at this particular moment? Why did it do the thing it did? Where, precisely, did this number come from? The point is to be able to reconstruct the story of what happened, on demand, with enough clarity to act — not to dump the entire internal state into a log nobody can read. Designing for the questions, rather than for completeness, is the whole craft.

A lit room changes how you think

Once I could actually see inside, the entire character of the work transformed. I stopped theorizing and started looking. Problems that had been genuine mysteries for weeks — that had survived all my clever guessing — became obvious within minutes, because I could finally watch them happen rather than infer them from a distance.

That contrast taught me something humbling. The dark room had never been making me sharper or more intuitive, the way I had half-flattered myself into believing. It had just been making me slower, and far more often wrong, while charging me the additional cost of not knowing I was wrong. Visibility did not make the problems easier. It made them visible, and visible problems are a completely different, and vastly more tractable, kind of thing than invisible ones.

The deeper lesson: see before you reason

In the end, I think I simply had the order of operations backwards. My instinct had always been to reason first and observe second, if I bothered to observe at all. Now I try hard to do the reverse: to make the thing visible before I allow myself to form any strong theory about it, because a theory built without observation is just a guess wearing a lab coat, and guesses wearing lab coats are some of the most expensive things you can build on.

The most valuable investment, very often, is not a smarter algorithm or a cleverer idea. It is a clearer window. I spent a long time trying to think my way through a dark room, proud of my intuition, when what I actually needed was to stop, find the switch, and look at what had been in front of me the whole time.

— No signals, no returns, not investment advice.