I think tokio does userspace threads running on a thread per core. At least by default.
All the cargo deps would be "upstream", and pulled on build.
Reputation for reliability can be directly impacted by thousands of upstream dependencies, though.
It's partly a problem because the narrative is still "rewrote Bun in Rust in 11 days". And they didn't do that, if you consider quality of code. And now people look and see "look what you can do with an LLM in 11 days"
Well annotated code is fine in Python too.
I just skimmed that linked paper. Only mention I found of cooling is: > Cooling would be achieved through a thermal sys- tem of heat pipes and radiators while operating at nominal temperatures. Isn't that drastically…
Been there done that. My point is that even with Fable being a big improvement, it still needs constant feedback. The loops themselves are a lot better, but it still needs judgement calls, and Fable will often take an…
Anecdote, yes, but I am _right now in the middle of helping Fable clean up a mess_. Complex code is hard and Fable still makes mistakes.
The problem is the _way_ AI will solve an AI bug. I've seen the loop countless times. There's a creeping complexity and brittleness that creeps in over time as more and more complexity is left purely to the LLM agent.…
[dead]
I was trying to say "not confident at all" but hedged a bit too much. I see this as a case of the "quick to get to a POC that falls apart after sustained development for the same reasons it didn't work pre-Fable"…
I hate to be that guy, but... one week old project, clear signs of vibing. I will be shocked if the remaining work listed (cpython test suite) proceeds in any reasonable timeline. This is a pretty hard problem to just…
It's also postgres, but timescaledb's licensing (and therefore its lack of good support in azure managed postgres) is a bummer.
I love postgres, but the complexity of using it for everything starts to get pretty high, compared to more tailor-suited tools. We should probably use it for _more_, in general, but the cost of "everything in postgres"…
I'm not wading into the schizophrenia part, but inner monologue doesn't necessarily imply constructing a fully formed sentence you then repeat to yourself.
Willing to bet the fact that you went looking to improve is the thing that made the difference, not anything you learned from those seminars.
Cursor, from my companies perspective at least, seems to be handling charming leadership to get enterprise AI contracts in place, compared to the alternatives. That's feeling like the moat from my first-hand experience.…
I had a similar experience, I was working on a jupyter notebook, and Claude knew that it could write code that would use a DSN with read-only database access so I could run it. Opus just plugged along. First Fable…
It's really not that big for a postgres db in a lot of places, honestly.
75% of the value on PR review is team visibility
The jobs AI crisis is me being stressed and overworked as management demands more AI, showy (but shallow) "look I made a skill" presentations grab attention, and my PR review queue grows every day as people generate…
Agreed, and it's the same in software. Probably the biggest time-sink right now as a tech lead is people going from idea to fully-fleshed-out PR, and then having to go back to have a discussion of "was this the right…
I make a version of this happen with Aerospace on macOS.
I've never even seen someone suggest a rebase master onto feature workflow! TIL.
Didn't read the article, sorry, but this reminds me we _really_ need more cool acronyms back in our industry.
I think tokio does userspace threads running on a thread per core. At least by default.
All the cargo deps would be "upstream", and pulled on build.
Reputation for reliability can be directly impacted by thousands of upstream dependencies, though.
It's partly a problem because the narrative is still "rewrote Bun in Rust in 11 days". And they didn't do that, if you consider quality of code. And now people look and see "look what you can do with an LLM in 11 days"
Well annotated code is fine in Python too.
I just skimmed that linked paper. Only mention I found of cooling is: > Cooling would be achieved through a thermal sys- tem of heat pipes and radiators while operating at nominal temperatures. Isn't that drastically…
Been there done that. My point is that even with Fable being a big improvement, it still needs constant feedback. The loops themselves are a lot better, but it still needs judgement calls, and Fable will often take an…
Anecdote, yes, but I am _right now in the middle of helping Fable clean up a mess_. Complex code is hard and Fable still makes mistakes.
The problem is the _way_ AI will solve an AI bug. I've seen the loop countless times. There's a creeping complexity and brittleness that creeps in over time as more and more complexity is left purely to the LLM agent.…
[dead]
I was trying to say "not confident at all" but hedged a bit too much. I see this as a case of the "quick to get to a POC that falls apart after sustained development for the same reasons it didn't work pre-Fable"…
I hate to be that guy, but... one week old project, clear signs of vibing. I will be shocked if the remaining work listed (cpython test suite) proceeds in any reasonable timeline. This is a pretty hard problem to just…
It's also postgres, but timescaledb's licensing (and therefore its lack of good support in azure managed postgres) is a bummer.
I love postgres, but the complexity of using it for everything starts to get pretty high, compared to more tailor-suited tools. We should probably use it for _more_, in general, but the cost of "everything in postgres"…
I'm not wading into the schizophrenia part, but inner monologue doesn't necessarily imply constructing a fully formed sentence you then repeat to yourself.
Willing to bet the fact that you went looking to improve is the thing that made the difference, not anything you learned from those seminars.
Cursor, from my companies perspective at least, seems to be handling charming leadership to get enterprise AI contracts in place, compared to the alternatives. That's feeling like the moat from my first-hand experience.…
I had a similar experience, I was working on a jupyter notebook, and Claude knew that it could write code that would use a DSN with read-only database access so I could run it. Opus just plugged along. First Fable…
It's really not that big for a postgres db in a lot of places, honestly.
75% of the value on PR review is team visibility
The jobs AI crisis is me being stressed and overworked as management demands more AI, showy (but shallow) "look I made a skill" presentations grab attention, and my PR review queue grows every day as people generate…
Agreed, and it's the same in software. Probably the biggest time-sink right now as a tech lead is people going from idea to fully-fleshed-out PR, and then having to go back to have a discussion of "was this the right…
I make a version of this happen with Aerospace on macOS.
I've never even seen someone suggest a rebase master onto feature workflow! TIL.
Didn't read the article, sorry, but this reminds me we _really_ need more cool acronyms back in our industry.