alt Hacker NewsI like the analogy. It feels right. But I don't think it actually is, because it leans hard on the _feeling_ of failure, vs. the actual failure.
The failure that actually matters here is product failure. Angry users. Security incidents. Downtime. Broken workflows.
Stressed and uncomfortable developers have, historically, been a leading indicator of product failure. Software is complex and when devs can't handle the breadth of ownership + the depth of expertise at the same time, it means bad work that leads to product failure. It's not clear that agents fail in the same way, or that our collective intuition about how and when to trust agents is sufficiently developed to predict product failure in the same way.
As anecdata: I know a bunch of growth-SaaS/last-batch-of-IPO companies where the devs are all stressed, the feature ship rate is up, and incidents are down. All at the same time.
So yes, quick learners and just-in-time depth is important, but so is intuition about where discomfort is going to produce true failure. The discomfort isn't a feeling to throw away, simply trusting that you'll learn everything in time. Ownership requires holding a model of the system in your head and proactively steering where you dive.
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> Ownership requires holding a model of the system in your head and proactively steering where you dive.
Absolutely, and the feeling of discomfort is a signal that you need to dive, a signal that your mental models might need updating. I think that builds up over time through many dives
I think that this was true pre-attention economy. If you look at security incidents and other prod issues, they rarely move the needle today. I work at a hyperscalar and we have been shipping 40% more bugs to prod since 2023 year-to-year, yet user growth and revenue is up about 25% similarly due to more features and more ads.
I think that the whole premise of that failure affects things is based on a older model. You kind of assume that:
1) users are able to easily gain information about alternatives. We have seen that since LLMs replaced search engines, we have much less churn.
2) users are not behaviorally addicted/pushed into patterns. We have patterns that utilize users to keep using the app by exploiting their cognitive weaknesses
3) users have the mental fortitude and stamina to learn new tools instead of accepting flaws in the one they are used to
Some failures and bugs in prod don't matters as much