Meeting Title: Brainforge Skill Building and Linear Usage Date: 2026-04-06 Meeting participants: Brylle Girang, Ruixi Wen


WEBVTT

1 00:04:22.950 00:04:24.540 Ruixi Wen: Hi!

2 00:04:24.540 00:04:25.540 Brylle Girang: So…

3 00:04:26.000 00:04:29.220 Ruixi Wen: Hi. Thank you for being on this call with me today.

4 00:04:29.370 00:04:33.800 Brylle Girang: Of course! I’m more than happy to help you out. Happy Monday!

5 00:04:34.260 00:04:35.870 Ruixi Wen: Yeah, same to you.

6 00:04:36.230 00:04:37.240 Brylle Girang: How was your weekend?

7 00:04:38.060 00:04:42.199 Ruixi Wen: Yeah, it’s nice, it’s nice. I went to eat, like, the Peking dog.

8 00:04:43.490 00:04:44.680 Brylle Girang: Sorry, again?

9 00:04:45.230 00:04:46.760 Ruixi Wen: Like a Peking dog.

10 00:04:46.990 00:04:50.279 Brylle Girang: You… you went to, or you ate?

11 00:04:50.280 00:04:58.390 Ruixi Wen: I went to a restaurant to eat that. That would be hilarious.

12 00:04:58.730 00:05:09.850 Brylle Girang: That’s cool! What happened during the weekend? I don’t actually remember. I think we had just, like, a quick slip over here with my cousins, so yeah, it was fun.

13 00:05:10.050 00:05:13.080 Ruixi Wen: That’s cute, that’s really cute, yeah.

14 00:05:13.620 00:05:21.480 Brylle Girang: Okay, so you wanted to, follow up on some questions that you had about our tools, so yeah, please go ahead.

15 00:05:22.050 00:05:41.220 Ruixi Wen: Yes, I think maybe I’ll start with, like, the thing about, like, the skills we talked about the other day on the presentation, and I was, like, trying to build a skill myself, but… because I’m not too familiar with cursor, so I was not sure, like, how to, so I built basically a thing for, like,

16 00:05:41.240 00:05:48.010 Ruixi Wen: daily digest for, like, the Slack, saying that on the platform, too, like, Sam posted about some, like.

17 00:05:48.100 00:06:07.279 Ruixi Wen: I don’t know, engineering links, but I’m lazy to open it up, for example, and I want to digest it on the Slack. But I’m not too sure, like, how do I run, test it? Like, I built this skill, like, it’s a sound cursor, but I don’t know, like, how to test run it as, like, people show in the demo, like,

18 00:06:07.280 00:06:09.779 Ruixi Wen: Do I need to, like… I don’t know, do I need to, like…

19 00:06:10.160 00:06:17.769 Ruixi Wen: Can I run it locally on Cursor, or do I need to, like, put… pull… push it into, like, the GitHub, or how does it work?

20 00:06:17.770 00:06:22.269 Brylle Girang: Okay, gotcha. Would you mind sharing your screen so I can walk you through?

21 00:06:26.820 00:06:27.430 Ruixi Wen: Yes.

22 00:06:28.250 00:06:32.410 Brylle Girang: Alright, perfect. So that was the… okay, that’s the…

23 00:06:33.590 00:06:33.979 Ruixi Wen: This is an.

24 00:06:33.980 00:06:37.740 Brylle Girang: A skill that you created.

25 00:06:39.020 00:06:40.500 Brylle Girang: Okay, gotcha.

26 00:06:41.360 00:06:52.440 Brylle Girang: Let me just try to take a step back here. When we talk about, like, the skills and the workflows that are happening within Cursor, there are basically two

27 00:06:52.590 00:07:05.050 Brylle Girang: main paths here. The first one is that you can call a skill directly, so that means you’re going to trigger it manually, and to do that, you can just type the backslash.

28 00:07:07.310 00:07:09.000 Brylle Girang: Track type backslash.

29 00:07:12.740 00:07:13.310 Ruixi Wen: Yeah.

30 00:07:13.920 00:07:16.200 Brylle Girang: There. And then just type…

31 00:07:16.300 00:07:25.899 Brylle Girang: the skill that you want to call. So, in this case, if you want to, like, run the daily Slacks Link Digest, then just type that.

32 00:07:30.350 00:07:31.459 Ruixi Wen: Very good.

33 00:07:31.460 00:07:36.569 Brylle Girang: So, that’s how you can call, like, a skill manually. When it comes to testing.

34 00:07:37.040 00:07:47.150 Brylle Girang: Well, you can do it locally, you can do it after you push the skill, it doesn’t really matter. What’s more important for us is that you get to try out the skill.

35 00:07:47.630 00:07:48.380 Ruixi Wen: And…

36 00:07:48.460 00:07:52.920 Brylle Girang: For me, the skill doesn’t need to be, like, 100% perfect.

37 00:07:53.110 00:07:58.220 Brylle Girang: As long as it’s working, as long as it makes sense, and then you can just iterate as we go along.

38 00:07:58.960 00:08:05.170 Brylle Girang: So that’s… that’s, like, the first main path, calling it directly. The second path…

39 00:08:05.250 00:08:19.849 Brylle Girang: is just by cursor understanding if a skill is needed on your query. So there are cases where Cursor understands, like, hey, Miranda was asking me to create a link digest for Slack.

40 00:08:19.950 00:08:20.690 Brylle Girang: I’ll.

41 00:08:20.690 00:08:21.190 Ruixi Wen: Okay.

42 00:08:22.090 00:08:33.510 Brylle Girang: And that can be configured using cursor commands. So, if you… not cursor commands, rather, cursor rules. So, if you look at the left side, I’m just going to…

43 00:08:33.860 00:08:38.330 Brylle Girang: Annotate here, so you can see this folder.

44 00:08:40.169 00:08:47.810 Brylle Girang: So those… cursor rules. So, how cursor works is that every time it runs a prompt.

45 00:08:48.190 00:08:53.960 Brylle Girang: It always double-checks if there are rules here that would be applicable to your prompt.

46 00:08:54.420 00:09:09.090 Brylle Girang: So, if your prompt is something like, hey, use, create a weekly digest for me, and there is a rule here that says, hey, every time a user tells you to create a weekly digest, use this skill, etc.

47 00:09:09.390 00:09:11.000 Brylle Girang: So that’s how it works.

48 00:09:12.190 00:09:14.659 Brylle Girang: Does that make sense? Does that answer your question?

49 00:09:17.190 00:09:27.149 Ruixi Wen: Wait, so does it matter? So, but the way I call the, call the Slide Daily Slack Link Threat Digest, does it differ in the past, too?

50 00:09:28.070 00:09:42.530 Brylle Girang: It doesn’t… it doesn’t matter that much. I guess the main difference from… I guess the main difference from those two is that if you know that a skill is existing, and you want to use that, then do the first path. Call it directly.

51 00:09:42.890 00:10:01.200 Brylle Girang: The second path would be really, really helpful for people who doesn’t know that a skill already exists. And that’s why we’re pushing people to create skills, because at the end of the day, people might not know that a skill is needed, but a skill gets used, and it’s actually helpful.

52 00:10:02.970 00:10:04.250 Ruixi Wen: Hmm…

53 00:10:04.250 00:10:22.770 Brylle Girang: So I guess the main, like, the main benefit of the second path that I just shared is that if we build a stable enough platform where skills are prevalent within Brainforge, then people might not even know that a skill is being used on their workflows or their prompts.

54 00:10:25.440 00:10:27.520 Ruixi Wen: Okay, okay, I see.

55 00:10:27.730 00:10:34.619 Ruixi Wen: I see. And then for my case, like, for example, the skill I built, like, how do I really, like, see how it works? Because I…

56 00:10:35.060 00:10:44.269 Ruixi Wen: like, now I did this, can I just… just let it… just press enter on this to test it? Like, does it need to…

57 00:10:44.650 00:10:59.640 Brylle Girang: I can do that, but I would suggest that you don’t use plan, because that’s, like, you know, cursor will be… might make plans around it. Use agent, and at the same time, try to create, like, a new chat box, just to make sure that it has fresh context.

58 00:11:01.200 00:11:04.050 Brylle Girang: So if you, like, click here…

59 00:11:07.520 00:11:09.590 Brylle Girang: And then try to run that skill.

60 00:11:10.400 00:11:12.170 Ruixi Wen: Okay, see.

61 00:11:40.530 00:11:46.120 Brylle Girang: Does that make sense? Like, is that what… what the output you… that you wanted to provide?

62 00:12:04.900 00:12:08.500 Ruixi Wen: Not really, seems like there’s some issues.

63 00:12:08.500 00:12:11.059 Brylle Girang: Doesn’t look right. Let me double-check that one.

64 00:12:17.020 00:12:18.250 Brylle Girang: Skills.

65 00:12:18.710 00:12:22.329 Brylle Girang: It’s going to be Daily Slack Digest.

66 00:12:23.470 00:12:28.570 Brylle Girang: Okay, I don’t see it here. So, like, is this a skill that you just created?

67 00:12:29.140 00:12:30.110 Ruixi Wen: Yes, yes.

68 00:12:30.110 00:12:35.310 Brylle Girang: Okay, gotcha, okay. And then, can you walk me through, like, how you created this skill?

69 00:12:35.930 00:12:37.410 Ruixi Wen: Yes,

70 00:12:46.900 00:12:47.470 Ruixi Wen: Aww.

71 00:12:47.470 00:12:49.650 Brylle Girang: Oh, okay, I see it, I see it.

72 00:12:54.420 00:12:56.489 Ruixi Wen: Amusement holiday, where is it?

73 00:12:57.240 00:13:11.180 Brylle Girang: Yeah, I see it here. Okay, so I think it’s really great that you’re asking stuff to cursor, that’s how it should be, so that’s amazing. I think the main breaking point here is this prompt.

74 00:13:11.470 00:13:13.979 Brylle Girang: So if you can… if you could just scroll up a bit…

75 00:13:15.670 00:13:26.259 Brylle Girang: Okay, so when… when cursor are created… when cursor is creating these plans, so if you use… if you use, like, the plan mode, and it creates this plan.

76 00:13:26.380 00:13:32.240 Brylle Girang: What you need to do is to make sure that you build the actual plan.

77 00:13:33.090 00:13:38.939 Brylle Girang: It tells Cursor to go ahead and implement the plan that you proposed to me.

78 00:13:39.250 00:13:50.969 Brylle Girang: The problem here is that you asked Cursor to create, like, the skill.md file, and then it was not able to create all the other prerequisites.

79 00:13:51.140 00:13:59.290 Brylle Girang: for the plan. So, it’s like, it’s like, it’s like you give Cursor, like, the wheels.

80 00:13:59.560 00:14:07.100 Brylle Girang: And then the body or the chassis of the car was not built. So you only have, like, one part of it.

81 00:14:07.680 00:14:10.979 Ruixi Wen: I see, yeah, so I just need to click this build part.

82 00:14:10.980 00:14:27.319 Brylle Girang: Yes, exactly. So you can build plan, and then it should create… well, let me… so since this is, like, an ongoing conversation, it might not be best to, like, build a plan here. What you can do is create another chat.

83 00:14:29.980 00:14:32.800 Brylle Girang: And then tell cursor, build…

84 00:14:33.320 00:14:38.210 Brylle Girang: the plan, and then you can just add the plan. So you can type at.

85 00:14:43.580 00:14:44.800 Ruixi Wen: So, should I use a clamor?

86 00:14:44.990 00:14:48.120 Brylle Girang: Sorry, I mean the at symbol, like that.

87 00:14:48.560 00:14:54.070 Brylle Girang: So, build at… There, so you referenced the plan that you created?

88 00:14:55.300 00:14:56.339 Ruixi Wen: Okay, wait.

89 00:15:00.180 00:15:01.690 Ruixi Wen: They are.

90 00:15:02.080 00:15:03.060 Brylle Girang: Alright. Yep.

91 00:15:03.430 00:15:04.960 Brylle Girang: And then you click play.

92 00:15:08.240 00:15:16.000 Brylle Girang: So what this will do is that it will ask Cursor to go ahead with the plan that it proposed, and then it will build it step by step.

93 00:15:16.530 00:15:25.939 Ruixi Wen: Mmm, I see. Yeah, that makes sense. Yeah, I saw, like, the plus, I saw, like, I saw I pressed enter, like, I saw it just automatic. I didn’t see the build button at all, like…

94 00:15:25.940 00:15:26.540 Brylle Girang: Yeah.

95 00:15:26.810 00:15:29.060 Brylle Girang: It’s okay. Yeah, so…

96 00:15:29.160 00:15:36.940 Brylle Girang: Once this is done, then you can try to scale out. You can do it locally, once you’re confident enough, then you can push a PR for that.

97 00:15:37.430 00:15:39.770 Ruixi Wen: Okay, awesome, awesome, okay.

98 00:15:40.600 00:15:44.480 Ruixi Wen: Cool. Okay, thank you so much. Yeah, that was helpful, yeah.

99 00:15:44.480 00:15:47.799 Brylle Girang: Welcome. Anything else that I can help you out with?

100 00:15:48.590 00:16:07.760 Ruixi Wen: Yes, another thing, like, I have is, like, as I mentioned briefly about, like, open work scene, I don’t need, like, this, like, immediately, but the product I was working on, it’s, like, what I’m told me, like, they’re built… they build on open work, and they hope, like, in the future, I can…

101 00:16:07.810 00:16:13.899 Ruixi Wen: ship features, through Bloomberg as well. But I’m just, like, not…

102 00:16:14.190 00:16:30.790 Ruixi Wen: really sure, like, how do I get started with, and how do I get access to the same, like, kind of like, I don’t know, like, do I need to do the same for Cursor, where I clone the repo and all that? I don’t know if you have time to, like, look at, like, open work. It seems like it’s…

103 00:16:30.850 00:16:36.970 Ruixi Wen: It should be similar things, but it’s, like, a open source startup thing that they… they build, yeah.

104 00:16:37.130 00:16:40.060 Brylle Girang: Okay, like, do you have, a clear…

105 00:16:40.260 00:16:44.199 Brylle Girang: like, a clear understanding already of what our goal is with open work.

106 00:16:45.260 00:16:56.379 Ruixi Wen: I know, like, we build upon… we build, like, this product upon open work, and the reason they did that is, like, they wanted to, like, separate from, like, the,

107 00:16:56.810 00:17:05.490 Ruixi Wen: basically the code base we have, like, run… because we were running this, like, experiment. So, we built this on OpenWork and tested on OpenWork.

108 00:17:05.490 00:17:18.200 Ruixi Wen: But I’m not sure, like, how do I, like, get started to see what’s going on there. But it’s not, like, something, like, I need to do immediately, but, it’s some who I’m talking about. In the following week, he hope I can ship features and…

109 00:17:18.270 00:17:20.480 Ruixi Wen: We’re currently open work, so,

110 00:17:20.560 00:17:22.260 Ruixi Wen: It’s better I get access to it.

111 00:17:22.260 00:17:24.789 Brylle Girang: Yeah. You do know Sam, right?

112 00:17:25.470 00:17:26.349 Ruixi Wen: Yes, I do.

113 00:17:26.359 00:17:33.759 Brylle Girang: Okay, so, I don’t have, like, enough context on how to set up OpenWork, since it’s in the

114 00:17:34.039 00:17:43.399 Brylle Girang: the alpha stage right now, so it’s not… it was not even introduced to me yet. I think Sam would be able to help you out on how to set it up initially.

115 00:17:43.529 00:17:48.629 Brylle Girang: But I just wanted to, like, provide more context on what that is and what the goal is.

116 00:17:48.809 00:17:54.229 Brylle Girang: Right now, like, we’re using Cursor as the company’s AI agent, right?

117 00:17:54.459 00:18:04.919 Brylle Girang: And cursor is not really that friendly, especially for non-technical people, because it’s an IDE, it’s in the developer environment.

118 00:18:05.419 00:18:18.329 Brylle Girang: So we wanted to build OpenWorks so that non-technical people would be able to utilize our platform without going through the… the… how do you call this? The visuals of Cursor, which is really overwhelming.

119 00:18:18.559 00:18:28.039 Brylle Girang: And so that’s the first major goal. And the second goal is so that, you know, we can build that amazing tool, and then sell it for our clients, which…

120 00:18:28.040 00:18:28.460 Ruixi Wen: Yeah.

121 00:18:28.460 00:18:33.639 Brylle Girang: The security features that we want to implement, it would be an amazing… Selling point.

122 00:18:34.120 00:18:42.090 Brylle Girang: But, yeah, when it comes to setting it up, I’m going to try and see if I can get some resources for you, or if I can even…

123 00:18:42.340 00:18:48.479 Brylle Girang: try it out by myself, but if not, then I suggest reaching out to Sam, so he can maybe help you out.

124 00:18:48.480 00:18:55.980 Ruixi Wen: I reached out to him, but, yeah, he didn’t really help me with that.

125 00:18:55.980 00:18:58.390 Brylle Girang: What happened? Can you tell me about what happened?

126 00:18:59.360 00:19:16.190 Ruixi Wen: Yeah, I think, like, it’s just, like, at the time we were talking, like, lots of things are breaking, and, and he was, like, fixing some bugs, and I told him, like, how do I get it? I said, he was like, I showed him, like, screen on open work, and he was, like, not very sure about it, too, I think, yeah.

127 00:19:16.190 00:19:17.950 Brylle Girang: That’s weird. Okay, okay.

128 00:19:18.340 00:19:25.740 Ruixi Wen: I’m… I’m not even… Yeah, it seems like he fixed, like, the bugs, like,

129 00:19:26.070 00:19:37.230 Ruixi Wen: he showed me, like, the… put out the railway, the scenes on that, and he does… it doesn’t seem like he was, like, really working on open work, but at the same time, Utem told me, like, it’s… the whole product build,

130 00:19:37.550 00:19:41.319 Ruixi Wen: Open work, so… Yeah, that’s a…

131 00:19:42.000 00:19:47.939 Brylle Girang: Okay, gotcha. I think I saw some conversations between Utam and Samber. They were fixing…

132 00:19:48.200 00:19:55.499 Brylle Girang: stuff out in OpenWork, but, I’m going to check what I can do if I’m blocked within this week, then I’ll let you know.

133 00:19:55.860 00:19:58.050 Ruixi Wen: Okay, okay, that sounds great, okay.

134 00:19:58.050 00:19:58.700 Brylle Girang: Right.

135 00:19:58.930 00:19:59.480 Brylle Girang: But…

136 00:19:59.480 00:20:00.160 Ruixi Wen: Thank you.

137 00:20:00.160 00:20:02.760 Brylle Girang: Anything else that I can help you out with?

138 00:20:03.580 00:20:10.530 Ruixi Wen: Yeah, another thing is, like, I just want to clarify about, like, linear, because I,

139 00:20:10.680 00:20:21.279 Ruixi Wen: I wanna know, like, could you show me, like, how do people, like, usually use linear? I saw, like, we even do, like, PTO requests on linear, and, I think, like, those…

140 00:20:22.090 00:20:33.250 Ruixi Wen: bug tickets also through linear? Could you just, like, show me, like, like, do we use everything on linear? When should I use linear, and how do I, like, push the ticket to the Slack? Yeah.

141 00:20:33.250 00:20:36.410 Brylle Girang: I’ll shop. Let me try and share my screen here.

142 00:20:39.070 00:20:40.920 Brylle Girang: Okay,

143 00:20:41.180 00:21:01.100 Brylle Girang: So, the main goal for the business right now is to make sure that all requests are documented, and we want to make sure that these requests are consolidated in one place. And that one place would be linear, because that’s also, like, our bridge to making sure that we can use AI agents to work on those requests.

144 00:21:01.360 00:21:08.180 Brylle Girang: So, go to Slack, and you go to Linear Ask, Like, this is the best…

145 00:21:08.380 00:21:13.799 Brylle Girang: Single route for you to create linear tickets, if you have requests for the team.

146 00:21:14.030 00:21:17.669 Brylle Girang: So if I just click Ask here, and then I play…

147 00:21:18.440 00:21:25.760 Brylle Girang: The main features here are creating operations requests, As you can see here.

148 00:21:25.960 00:21:37.250 Brylle Girang: PTO request, and then platform requests. And I think the platform request option is going to be, like, your go-to when you have any requests from the platform team.

149 00:21:37.400 00:21:56.900 Brylle Girang: So what OTAM wants is that any request from the platform team, may it be, like, an addition of a feature, a request, etc, maybe you, as a product manager, you want to add a feature within OpenWork, or you want the platform team to fix some bugs, you go to this route.

150 00:21:57.020 00:21:59.439 Brylle Girang: And then you explain what you want to happen.

151 00:22:00.240 00:22:00.890 Ruixi Wen: Oh my god.

152 00:22:01.010 00:22:07.960 Brylle Girang: This will automatically create a linear ticket tagged under the platform team, and you will be notified of the progress.

153 00:22:08.510 00:22:26.240 Brylle Girang: So, what’s the difference between going through this route and then, like, creating a linear ticket by yourself in linear? I think the best, the best benefit is that you will be notified if there are any, if there are any movements on the request, so you will not be blocked.

154 00:22:26.350 00:22:28.290 Brylle Girang: By manually checking those.

155 00:22:29.120 00:22:30.160 Ruixi Wen: Mmm, I see.

156 00:22:30.160 00:22:41.690 Brylle Girang: That’s the simplest path. At the same time, Linear is being used by our delivery team when it comes to client requests, when it comes to requests for our dashboards.

157 00:22:41.810 00:22:43.080 Brylle Girang: A chatter out.

158 00:22:43.350 00:22:47.760 Brylle Girang: But yeah, before I… before I dive further, is that clear?

159 00:22:48.530 00:22:57.499 Ruixi Wen: Yes, I think that’s pretty clear to me, but I wonder, like, do I get to choose, like, who this, like, ticket is sent to, or it’s just, like, shared to everybody?

160 00:22:57.500 00:23:07.020 Brylle Girang: Well, for platform, it’s mostly just UTAM, and then what happens is that it gets, it routes to the platform’s triage bucket.

161 00:23:07.160 00:23:12.630 Brylle Girang: And then Utam or Sam are the ones, you know, assigning it to whoever is available.

162 00:23:12.760 00:23:22.109 Brylle Girang: But if you… if you have a conversation already, let’s say you and OTAM talk, OTAM wants to own the task, then you can assign it directly to them.

163 00:23:22.680 00:23:25.079 Ruixi Wen: Hmm, I see, I see, makes sense, okay.

164 00:23:25.380 00:23:37.709 Brylle Girang: Yeah, so that is, like, the core of it, and then when it comes to the why, why are we doing this? Why… why are the tickets in linear? Let me just try to get inside the platform teams.

165 00:23:40.330 00:23:43.019 Brylle Girang: Okay, I’m not, I’m not invited, but…

166 00:23:43.170 00:23:56.520 Brylle Girang: The main purpose for that is so that we can use AI agents or cloud agents to work on the linear task. So, one main goal, and I think you saw this in the roadmap.

167 00:23:56.870 00:24:05.949 Brylle Girang: that Utam has set for this quarter is that 50% of the linear tickets that are created should be worked on by cloud agents, like, not people.

168 00:24:06.260 00:24:10.259 Brylle Girang: So if it’s in linear, then we can just, you know, call.

169 00:24:10.500 00:24:14.490 Brylle Girang: our AI agents. I don’t know why I’m not able to do that.

170 00:24:17.620 00:24:26.159 Brylle Girang: That’s weird. But, ow! Sorry, should be through here. So, we should be able to, like, call AI agents.

171 00:24:26.630 00:24:28.400 Brylle Girang: Cursor is not in this…

172 00:24:29.900 00:24:41.879 Brylle Girang: It’s not in this project, but we should be able to call AI agents, and then they’re going to work on the linear task autonomously, without OTAM or anyone else needing to work on that directly.

173 00:24:42.790 00:24:46.239 Ruixi Wen: Oh, I see. Wait, how did you jump to this page?

174 00:24:47.040 00:24:49.960 Brylle Girang: I go to issues, Here?

175 00:24:50.570 00:24:55.290 Brylle Girang: And then I just click the individual tickets. So, issues are tickets within linear.

176 00:24:55.690 00:24:58.030 Ruixi Wen: I see, I see, I see, I see.

177 00:24:58.370 00:25:01.259 Ruixi Wen: Cool. Yeah, and… and…

178 00:25:02.500 00:25:15.429 Ruixi Wen: I see. And, man, I know, like, for example, when should I, like, how do you evaluate, like, when should I call on cursor, or when should I call on codex, like, like, when should I call on what, or…

179 00:25:15.430 00:25:20.219 Brylle Girang: Okay, I think that you have the… Really good example for that.

180 00:25:20.530 00:25:23.669 Brylle Girang: So, like this, you mean?

181 00:25:25.600 00:25:27.480 Ruixi Wen: Yes, yes, yes.

182 00:25:27.480 00:25:28.820 Brylle Girang: So,

183 00:25:29.800 00:25:37.739 Brylle Girang: It depends. Right now, I think it’s just mainly me and Otam trying to figure out how effective the cloud agents are.

184 00:25:37.940 00:25:47.350 Brylle Girang: So, do you have, like, a good understanding of, like, the difference between cloud agents and then just doing it by yourself using Cursor?

185 00:25:48.930 00:25:50.940 Ruixi Wen: Not exactly.

186 00:25:50.940 00:25:56.079 Brylle Girang: Okay, so when we trigger cloud agents similar to this.

187 00:25:56.320 00:26:09.400 Brylle Girang: It does everything, like, from end to end, and you’re not… you don’t need to be looked in in the process, compared to, like, asking it directly. Here, there… it’s not complete.

188 00:26:09.400 00:26:12.820 Ruixi Wen: Yeah, we have to keep on… like, it’s… we’re in a loop.

189 00:26:13.100 00:26:27.510 Brylle Girang: Exactly, exactly. And cloud agents use more brain power, so that means that most of the time, it uses… it thinks more than the agents that we use in Cursor right now.

190 00:26:27.930 00:26:44.250 Brylle Girang: So, how Utam and I are approaching it, Utam mainly uses, like, the cloud agent when it comes to research, and I’m using cloud agents for, like, easy tasks that I want to be done immediately. So, for example, here.

191 00:26:44.480 00:26:49.619 Brylle Girang: Amber provided some feedback on the curriculum. I don’t want to, like.

192 00:26:50.020 00:27:00.230 Brylle Girang: update it manually, I don’t want to go through the cursor and then create the PRs manually, so I just ask the cloud agent, which is cursor, to do this… to do these steps for me.

193 00:27:00.760 00:27:01.520 Ruixi Wen: Hmm.

194 00:27:01.750 00:27:07.499 Brylle Girang: And it was able to do those steps, it was able to create the PR, I… it’s just, you know.

195 00:27:07.900 00:27:09.360 Brylle Girang: Prompt and forget.

196 00:27:09.510 00:27:10.780 Brylle Girang: Something like that.

197 00:27:11.820 00:27:12.380 Brylle Girang: So…

198 00:27:12.380 00:27:13.000 Ruixi Wen: I see.

199 00:27:13.000 00:27:31.910 Brylle Girang: there’s… there is no, like, strict matrix on when to use cloud or when not to use cloud, but I guess my main advice right now is, you know, just explore and see if it works. Like, that’s what we’re doing right now.

200 00:27:32.670 00:27:46.750 Ruixi Wen: Gotcha, got you. That makes sense. And another quick question about the PR, so, like, if I did a PR, I guess, like, for me, it’s like, it got pushed toward him. Should I also, like, ping him in the Slack about, like, oh, I have a PR, please?

201 00:27:48.340 00:28:04.569 Brylle Girang: It’s urgent, yes, but if it’s not, Utam goes through the PRs individually and manually every day, so he has scheduled time to go through those. But if it’s really urgent, you know, you have the freedom to push him.

202 00:28:05.130 00:28:07.049 Ruixi Wen: Okay, okay, cool. Good to know.

203 00:28:07.580 00:28:21.580 Brylle Girang: Long term, Otem is working on, like, an automated merger or AI bot that works on those automatically, so that shouldn’t be a problem within maybe 3 months or so.

204 00:28:22.070 00:28:28.610 Ruixi Wen: Oh, I see, nice, nice. Okay, cool. Yeah, thank you so much, I think that’s all the questions I have, yeah.

205 00:28:28.610 00:28:35.040 Brylle Girang: You’re welcome. And again, you know, don’t hesitate to reach out to me if you have any questions, more than happy to help.

206 00:28:35.450 00:28:40.900 Ruixi Wen: Okay, thank you so much, Vida, that’s very helpful, like, go to sleep soon, yeah.

207 00:28:41.210 00:28:47.129 Brylle Girang: Thank you, yeah, I have, like, 4 or 5 hours left, but yeah, let’s kick it.

208 00:28:47.530 00:28:53.840 Ruixi Wen: Oh my god, so what’s your schedule really like? So do you sleep during the daytime and work in the night?

209 00:28:53.840 00:29:00.209 Brylle Girang: It depends. Well, after… after I work, maybe around… let me check the time right now.

210 00:29:01.410 00:29:10.800 Brylle Girang: 4 hours after, I’m going to go to the gym, and then try to, like, go to the gym during the least busy hour, the…

211 00:29:12.090 00:29:23.259 Brylle Girang: the day, and then after that, it’s either I fall asleep or I don’t, and then I just sleep later on, so my body clock is not that uniform.

212 00:29:23.720 00:29:26.769 Ruixi Wen: Oh my god, that’s crazy, yeah.

213 00:29:26.770 00:29:28.739 Brylle Girang: What about you? What do you do after work?

214 00:29:29.700 00:29:45.940 Ruixi Wen: So for me, like, I think it’s more, but because, like, I think I just, like, woke up… I work through in the daytime, and then go to sleep at night, I think it’s, like, pretty, pretty uniform, yeah. I cook some dinner for myself, yeah.

215 00:29:45.940 00:29:47.389 Brylle Girang: So what do you do?

216 00:29:48.380 00:29:50.660 Ruixi Wen: Yeah, like, I cooked… Huh?

217 00:29:50.660 00:29:55.150 Brylle Girang: Yeah, like, when you’re not working, what are you spending time on?

218 00:29:55.680 00:30:10.599 Ruixi Wen: Yeah, I cooked some dinner. I try to, like, make most of the meals myself. I think that takes a lot of time, especially, like, if I did, like, 3 meals a day when I… and also to, like, spend time on, kind of, like, Pilates,

219 00:30:12.210 00:30:17.580 Ruixi Wen: Yeah, and I’ve also, like, I keep… I like reading, so I spend a lot of time on reading and stuff too, yeah.

220 00:30:17.620 00:30:29.960 Brylle Girang: Yeah, it’s cool! We’re actually going to launch a book club anytime soon, so if you’re pushing people to read, actually read stuff to upskill, I think you’re gonna love it.

221 00:30:30.450 00:30:35.480 Ruixi Wen: Yeah, yeah, yeah. I actually have a book club myself with my friends, too. Wow.

222 00:30:35.480 00:30:39.450 Brylle Girang: What gender are, are you, are you… collaborating on.

223 00:30:39.900 00:30:50.720 Ruixi Wen: We’re… we’re actually really afraid. We just, like, we just share what we read and… and what we like, about it and stuff, but we don’t, like, like.

224 00:30:50.870 00:30:52.889 Ruixi Wen: Confined to, like, a specific genre.

225 00:30:52.890 00:30:57.310 Brylle Girang: Oh, okay, gotcha. Like, do you have a bit more time?

226 00:30:58.260 00:30:59.340 Brylle Girang: Or… Yeah.

227 00:30:59.340 00:31:00.070 Ruixi Wen: Okay. I do.

228 00:31:00.970 00:31:02.700 Ruixi Wen: It’d be, like, 11, so…

229 00:31:03.140 00:31:06.309 Brylle Girang: Have you read, like, Project Hail Mary, or have you watched the movie?

230 00:31:06.770 00:31:13.540 Ruixi Wen: Yeah, I just watched a movie, yeah, I just watched a movie, the weekend before, yeah. That was amazing.

231 00:31:13.540 00:31:20.140 Brylle Girang: We also watched it, like, yeah, like, the weekend before, it was mesmerizing.

232 00:31:20.530 00:31:32.030 Ruixi Wen: Yeah. Yeah, so did you read the book as well? I saw, like, a lot of, like, film review people actually, like, read the book, and they explain better about, like, what’s happening in the film. That was amazing.

233 00:31:32.030 00:31:38.410 Brylle Girang: Actually, I hope you don’t hate me for this, but when it comes to, like, stories and fiction, it’s not…

234 00:31:38.530 00:31:53.759 Brylle Girang: books are not the best for me, because I can’t, like, activate my creative brain. So what I do is I just watch movies breaking down what’s happening in the books, or I watch videos, rather, breaking down.

235 00:31:53.760 00:31:54.330 Ruixi Wen: Oh, it’s…

236 00:31:54.330 00:32:08.429 Brylle Girang: In the books, and that’s what I did with Project Hail Mary, like, I watch breakdowns comparing the book and the movie, and then… I think that gets me through that… that… that makes sure that I survive the trend.

237 00:32:08.660 00:32:12.509 Ruixi Wen: I see the bad. That’s, that’s helpful, that’s helpful too, yeah.

238 00:32:12.510 00:32:20.729 Brylle Girang: It was really nice talking with you, Miranda. Again, please, please reach out to me if you need anything. I’m more than happy to hop on a call again with you.

239 00:32:21.110 00:32:23.490 Ruixi Wen: Okay, thank you so much, V.

240 00:32:23.490 00:32:24.950 Brylle Girang: Jim Hernando. Bye-bye.

241 00:32:25.260 00:32:26.080 Ruixi Wen: Bye!