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Topic6 mentions across episodes
AI implementation
Long live Bigtable. I decided what it just wasn't worth it. Yeah. Honestly. Like the opportunity cost was, too high. So and we have these sorts of migrations, tensor, flow to JAX. We actually I mean, again, somewhat private, but not not too secret. W
24:45 / 25:44
from transcript24:45 – 25:44
Also included in Atlassian for startups is Compass, Jira Product Discovery, Bitbucket, so much more, all powered by Atlassian intelligence. That's their built in AI. Atlassian software helps companies like Canva, Cloud Flare, and Rivian keep growing
11:10 / 12:16
from transcript11:10 – 12:16
They started paying for it on their own. Why? They wanted to get credit on the investment team for communicating to me, the general partner of the firm, why they wanted to invest in a company. So they would do a Loom where they recorded over a record
10:29 / 11:32
from transcript10:29 – 11:32
And at February, they also support a constraint of decoding and support some jump forward. So at that time, it's a no for the language generator, not the inference back end. And at 2024, July or June or July, we want to make SG LAN a fully functional
36:40 / 37:48
from transcript36:40 – 37:48
And at September and December, we continue to release new versions for SG LAN. Yeah. We we support some deep seek optimization, such as MOA optimization, DPI attention optimization. And we also support the CRO overhead, a CPU schedule. Also, we suppo
37:30 / 38:32
from transcript37:30 – 38:32
He's the CEO and creator of Tiger Beetle. It's like the world's fastest, greatest financial database. And it was spawned out of a company that needed to do a bunch of financial transactions, and it's written in Zig. And what they do is they do determ
3:16:28 / 3:17:32
from transcript3:16:28 – 3:17:32
You add the word comp time if you want it to be a compile time only. So you can do, like, you can create the list of prime numbers at compile time in Zig, which is kind of an interesting, unique thing. So you have code that executes at compile time,
2:59:15 / 3:00:18
from transcript2:59:15 – 3:00:18
Is AI on your 2025 product roadmap, whether you need to enable RAG with your users' external data, like Google Drive files, Gong transcripts, or Jira tickets, or build AI agents that can automate work across your users' other tools, integrations are
3:43 / 4:46
from transcript3:43 – 4:46
You don't need to measure this or that, like, trim. Like, we had something that was gonna be delivered in the next quarter and we got it done this week with no downtime. Like, that is, you know, music to a VP of engineering's ears. Yeah. And so that'
40:33 / 41:43
from transcript40:33 – 41:43
code migrations are working relatively well. So far we use largely a combination of codex, claud, and, and cursor, some windsurf. And so, code migrations tends to work pretty well. Debugging, oddly enough, has actually been very, very productive with
25:29 / 26:33
from transcript25:29 – 26:33
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