[gabriel-uribe]

I don't miss the days of scraping through logs or dashboards myself to troubleshoot some latency or malformed data issue that I missed conditionals for.

AI is incredible at finding patterns in otherwise benign stdouts, let alone as it cross-references data streams.

In theory, I don't need most of these automations. But for $200/mo? I will happily reduce my cognitive burden on stuff that doesn't impact the core business and make it easier to keep things gliding smoothly.

When the subsidized plans disappear, I will keep these automations going with the best small models that fit on my laptop.

[Random09]

What I mean is a script that can look through the logs. They are known and deterministic (if you properly handle errors) and you can analyze them statistically. If you don't know what logs your app is outputting, then you have a bigger problem in your hands tbh.

[gabriel-uribe]

Deterministic scripts are awesome, and they certainly power my internal dashboards.

But I'm a human - I will miss things. I maintain too many apps to have entire codebases in memory at this point. Or to continue monitoring all these streams. Logging is cheap - I log as much as possible because an AI will scan it for me.

I just want scoped pull requests to review proactively against the slew of things that can happen in prod that I didn't account for in my specs (again, from logs, customer issues, etc). I discard most of them. That is fine.

[Random09]

It seems you could use a human instead then? If you have so many apps, you could hire a junior to help you. There is additional satisfaction of bringing new person to the IT too.

[gabriel-uribe]

Honestly, would love to do that. Main issue is margin. Earning just enough to even consider hiring, but not nearly enough to hire someone great that will stick around. Have tried hiring a few times now, but it hasn't worked out for various reasons.

Kicking the can down the road for now.