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15 results for “software engineering”
Concept3 mentions across episodes
software
Topic2 mentions across episodes
software
this is a dev tool. Developers are all different. Developers have different preferences. They have different environments. So there's just so many ways to use these tools. There's no one right way. You sort of have to find your own path. Luckily, you
1:08:57 / 1:10:06
from transcript1:08:57 – 1:10:06
But nowadays with Opus 4.6, you know, on average it'll run maybe ten, thirty, twenty, thirty minutes unattended, and I'll just, like, start another quad and have it do something else. And, you know, like I said, I always have a bunch of quads running
1:08:14 / 1:09:16
from transcript1:08:14 – 1:09:16
to write beautiful Ruby code, to explore greenfield domain, to learn something new, to build a system I want, even if no one else wants it. What a blessing. What a privilege. If a bunch of people want it, that's great. We can pay some salaries. We ca
1:56:07 / 1:57:18
from transcript1:56:07 – 1:57:18
I know that Cloud Code is, I think, a bit different. It's a bit more authentic. It touches more things. It does the whole project for you. I'm not quite there yet where I'm comfortable with that because, maybe I'm a control freak, but I still would l
36:40 / 37:46
from transcript36:40 – 37:46
“I spend 80% of my time planning, only 20% coding”
very early on, I started leveraging chat mode. And to this day, I can say I spent 80% of my time in planning and chatting and only 20% in executing the plan, actually. Right? I'm optimizing for the ri
13:19 / 13:51
tactical advice13:19 – 13:51
They wanna do cool things with, like, GPUs, you know, training models. Code is one of the, like, most obvious things because it's very easy to resonate with if you're an engineer. And so that's led to a lot of the players in the space really focusing
7:34 / 8:46
from transcript7:34 – 8:46
makes code a particularly good place to do this is that code is verifiable in a way that, you know, most other work is not. So, you know, with code, you can verify that the build works. Right? So you can say, hey. I wanna build this. I wanna build th
30:42 / 31:45
from transcript30:42 – 31:45
free or substantially lower costs, or it'll breed creativity in terms of offerings, which is good for the ecosystem. But I just think the simple thing is The US models are currently better, and we use them. And I try Chinese I try these other open mo
35:55 / 37:11
from transcript35:55 – 37:11
with Claude code to write a document that helps sort of decide a set of heuristics to decide when you should assign it to codex versus when you should give it to clog code. And so if it's tightly defined enough and simple enough, I just send it off t
28:28 / 29:47
from transcript28:28 – 29:47
It writes the console logs, you rerun it, guess what? Now you have a full history of everything that was happening. You copy that, you paste it inside your chat. 99% of the time, that's enough. That's already enough. AI is like, okay, got it, found i
1:08:12 / 1:09:21
from transcript1:08:12 – 1:09:21
And we were like, oh god. No. But it can generate the code, and you just gotta paste it in. You just gotta do all this stuff. Right? And they were like, that sounds kinda hard. And we're like, but it's faster, and they they wouldn't do it. And then n
12:04 / 13:11
from transcript12:04 – 13:11
public with this once they have more data about it. Yeah. Anecdotally, they're sharing that, The performance. The performance difference is like 10 x by any way that you measure it. So lines of code, commits, business impact, whatever. And it's it's
3:00 / 4:08
from transcript3:00 – 4:08
I would procrastinate, and then it grows to, like, 50. And so there's just, like, a a lot of code reviews. Codecs is really good at reviewing code. So actually, one thing that we've noticed that five two in particular has gotten extremely, strongly a
16:20 / 17:43
from transcript16:20 – 17:43
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