tibbar

4 ms·

31.
by tibbar 4mo ago
lack of version control, clunky language mechanics, performance issues, etc.
32.
by tibbar 4mo ago
This has been tried, but thousand-line stored procedures are truly a nightmare.
33.
by tibbar 5mo ago
The description of the interview seems like it was explicitly non-technical, though.
34.
Don't make fun of renowned Dan Brown(jimmyakin.com)
4 points by tibbar 5mo ago|1 comments
35.
by tibbar 5mo ago
I mean, we're pretty deep into Westworld/Blade Runner-style scifi at this point. It's actually a crazy, mind-bending question to try to grasp what is going on with chatclaudini at this point. Regardless of what labels we choo
36.
by tibbar 5mo ago
LLMs often seem to have trouble determining the severity of a bug/incident/problem in a vacuum. If you run an LLM over 1000 items in parallel and ask "is this bad," it will come up with reasons for it to be bad way more
37.
by tibbar 5mo ago
Scrolling down, a bunch of these seem to just be "the startup shut down after getting customers", which doesn't seem particularly scandalous to me?
38.
by tibbar 5mo ago
Fair point that there might be some functional changes you can suggest, but I continue to suspect that by the time this PR hit GitHub, all the most important decisions have already been finalized.
39.
by tibbar 5mo ago
First of all, redis is amazing, and your 4 month development process speaks to the fact that you've already designed and verified correctness super thoroughly. ... just speaking as someone who sometimes has to review very long PRs some
40.
by tibbar 5mo ago
Oh wow, I didn't realize that Redis is still mostly just authored by antirez! (My understanding is that he had left for some time and then returned to the project.) That is, honestly, pretty amazing. Well, redis is great and clearly it
41.
by tibbar 5mo ago
I'm curious, do people around you use AI? Because in my own workplace, people use lots of AI, and they ship lots of PRs, which correspond to actual features on the roadmap. I've been doing this a long time, and there is a whole lo
42.
by tibbar 5mo ago
Reviewing 22,000 lines of code, even from antirez, with this complex of a feature set and minimal PR description sounds like a nightmare. One starts to see why major open-source software like Postgres tends to be developed on a mailing list
43.
by tibbar 5mo ago
I was expecting to see some verbose LLM output, but actually the code has a distinctly hand-crafted feel. Nice to see! I'm not sure if "production ready" is a safe claim 7 commits in to a project ;)
44.
Dominant Resource Fairness: Fair Allocation of Multiple Resource Types [pdf](amplab.cs.berkeley.edu)
1 points by tibbar 5mo ago|0 comments
45.
Building reliability into uncertain event delivery (2022)(zendesk.engineering)
2 points by tibbar 5mo ago|0 comments
46.
by tibbar 6mo ago
$8M sounds like a lot, but (a) the cost of making a material financial mistake c an easily dwarf this, and (b) the cost of the engineers maintaining the system was likely about this expensive anyway. And infra is expensive when you'r
47.
Stripe's Payment APIs: the first 10 years (2020)(stripe.dev)
95 points by tibbar 6mo ago|51 comments
48.
Looking back on Stripe's payment API migration(jacobbrazeal.wordpress.com)
4 points by tibbar 6mo ago|1 comments
49.
Review: Machines of Loving Grace(jacobbrazeal.wordpress.com)
1 points by tibbar 6mo ago|0 comments
50.
by tibbar 6mo ago
Doesn't context cacheing mostly eliminate this problem? (I suppose for enough context the 90% discount is eventually a lot anyway)
51.
by tibbar 6mo ago
Yes. For example you'll typically have a "budget" of 1-10k writes/sec. And a single heavy join can essentially take you offline. Even relatively modest enterprises typically need to shift some query patterns to OLAP&#x2F
52.
by tibbar 6mo ago
Sure, but this isn't really an AMA thread [despite the offer to "answer any questions"]. This is about Sid's journey with (extremely advanced) cancer. Airing grievances about Gitlab is just out of place here, you gotta r
53.
by tibbar 7mo ago
The point is that ideally the models keep improving until they can solve problems people care about. Which is already partly true, but there are lots of problems that are still out of reach.
54.
by tibbar 7mo ago
Come now, surely Anthropic is a premium Linux distribution.
55.
by tibbar 7mo ago
I think OpenAI is more of an aesthetic. Very... Apple-like, polished, with an eye towards making really cool stuff. And aesthetics are a type of philosophy. This is less noble than how Anthropic presents themselves but still much more att
56.
by tibbar 7mo ago
How can cursor be worth more than a few billion? Claude/Codex are already better autonomous SWE-lite replacements. Cognition surely has a better internal harness. Cursor does have a lot of users, I'll give it that.
57.
by tibbar 7mo ago
i think closer to tens-of-thousands-of-dollars, by my napkin math!
58.
by tibbar 7mo ago
a lot of the value of tests is confirming that the system hasn't regressed beyond the behavior at the original release. It's bad if the original release is wrong, but a separate issue is if the system later accidentally stops beha
59.
by tibbar 7mo ago
I think the first enlightenment is that software engineers should be able to abstract away these algorithms to reliable libraries. The second enlightenment is that if you don't understand what the libraries are doing, you will probably
60.
by tibbar 7mo ago
That is the claim of the post. I also don't see confirmation elsewhere

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