Meeting Title: AI Team Standup Date: 2025-05-05 Meeting participants: Uttam Kumaran, Amber Lin, Miguel De Veyra, Awaish Kumar


WEBVTT

1 00:04:04.520 00:04:05.630 Uttam Kumaran: Hello!

2 00:04:10.970 00:04:11.640 Awaish Kumar: Hello!

3 00:04:14.450 00:04:15.940 Miguel de Veyra: Hey? Rich! How you doing.

4 00:04:17.320 00:04:18.300 Uttam Kumaran: Good.

5 00:04:23.340 00:04:24.173 Amber Lin: Hi! Everyone.

6 00:04:25.270 00:04:26.110 Uttam Kumaran: I.

7 00:04:31.600 00:04:35.299 Amber Lin: Let me pull up linear. Let’s run through this.

8 00:04:38.330 00:04:43.290 Amber Lin: So for this meeting, we’d want to know what let’s start, but

9 00:04:43.690 00:04:49.330 Amber Lin: what our current status is. And let’s talk about deliver this week.

10 00:04:49.800 00:04:53.570 Amber Lin: And Miguel updated me earlier in this meeting, but

11 00:04:53.760 00:04:57.110 Amber Lin: would love to just let everybody get on the same page.

12 00:05:01.970 00:05:05.210 Uttam Kumaran: Cool. So we’re we’re mid cycle right now, right.

13 00:05:06.190 00:05:06.800 Miguel de Veyra: Pretty much.

14 00:05:07.160 00:05:08.280 Amber Lin: Pull this up

15 00:05:14.190 00:05:17.540 Amber Lin: halfway through. Seems like a lot of things is in progress

16 00:05:20.090 00:05:23.349 Amber Lin: hopefully. Can close out a lot of stuff this week as well.

17 00:05:27.470 00:05:33.420 Uttam Kumaran: Yeah, we look, it looks like about 50% isn’t started, but

18 00:05:34.000 00:05:37.029 Uttam Kumaran: doesn’t look like we’ve moved anything to done

19 00:05:37.520 00:05:39.460 Uttam Kumaran: in the past like 4 or 5 days

20 00:05:43.550 00:05:45.689 Uttam Kumaran: are all the tickets up to date?

21 00:05:48.780 00:05:51.300 Amber Lin: Miguel, let’s start. Let’s start here.

22 00:05:51.860 00:05:53.555 Amber Lin: Let’s look at

23 00:05:54.780 00:05:58.120 Amber Lin: Like for these. I know you told me that they were.

24 00:05:58.400 00:06:04.429 Miguel de Veyra: Yes, even. And yeah, we pretty much. Yeah, that we, I think this one we can move to testing or done.

25 00:06:04.950 00:06:05.730 Amber Lin: Okay.

26 00:06:06.660 00:06:07.990 Miguel de Veyra: We’ve initialized them.

27 00:06:09.940 00:06:13.690 Amber Lin: So initialized meaning that we have zoom slack and.

28 00:06:13.690 00:06:14.620 Miguel de Veyra: I.

29 00:06:14.930 00:06:22.859 Miguel de Veyra: We have zoom and slack for both, but we only have Github, for I think it’s yeah we.

30 00:06:23.080 00:06:26.969 Miguel de Veyra: But in part Github isn’t part of initialization. Anyways.

31 00:06:26.970 00:06:29.240 Amber Lin: Yeah, yeah, I think I think so.

32 00:06:29.370 00:06:33.850 Amber Lin: And when we did the internal testing, they all worked right.

33 00:06:33.850 00:06:34.500 Miguel de Veyra: Yeah.

34 00:06:34.880 00:06:42.760 Amber Lin: So let’s I think we passed the Pr review. Let’s let’s get some feedback from the teams.

35 00:06:45.430 00:06:50.249 Amber Lin: Can make that a different ticket. But let’s see, let’s look at these.

36 00:06:51.824 00:06:53.880 Amber Lin: What about this one.

37 00:06:54.973 00:06:55.980 Miguel de Veyra: This one.

38 00:06:56.280 00:06:58.260 Miguel de Veyra: This should also be done.

39 00:06:58.820 00:07:06.260 Miguel de Veyra: I think this one we can. Mark is done. I just forgot to send it on Sales Channel. I’ll do that after this call. But yeah.

40 00:07:06.260 00:07:08.909 Amber Lin: Okay, let me mark that to.

41 00:07:09.290 00:07:10.420 Miguel de Veyra: Internal review. Yeah.

42 00:07:10.420 00:07:14.240 Amber Lin: Yeah. Once you send it, let’s move that.

43 00:07:14.240 00:07:15.380 Miguel de Veyra: I’ll just comment it out.

44 00:07:15.380 00:07:18.080 Amber Lin: Okay, sounds good.

45 00:07:18.220 00:07:19.500 Amber Lin: And

46 00:07:22.750 00:07:27.809 Amber Lin: and these are this, the parts that’s left here.

47 00:07:27.810 00:07:30.193 Miguel de Veyra: Yeah, github to super base.

48 00:07:30.900 00:07:37.039 Miguel de Veyra: this one is a bit simpler. Now, we don’t even have to send it to school based. And it’s just an Xml.

49 00:07:37.300 00:07:45.070 Miguel de Veyra: And then we just use this up at this context, like, I think the only issue here is the one for Eden, right? Utam, because we don’t have access. Like.

50 00:07:46.290 00:07:51.889 Miguel de Veyra: yeah, like, I think the issue here is not specifically for Eden. But what about those repos that we don’t

51 00:07:52.020 00:07:53.490 Miguel de Veyra: own? Like? Yeah, we.

52 00:07:53.490 00:07:54.230 Amber Lin: Excuse me.

53 00:07:54.230 00:07:55.529 Miguel de Veyra: Like? How should we approach that.

54 00:07:55.530 00:08:02.339 Amber Lin: Also is that we just have someone that’s in team downloaded via reboot mix Uton. What do you think.

55 00:08:02.860 00:08:03.240 Awaish Kumar: Like.

56 00:08:03.940 00:08:08.790 Awaish Kumar: We? We do have the Github files in S. 3 as well, right?

57 00:08:09.390 00:08:10.060 Awaish Kumar: Probably didn’t.

58 00:08:10.060 00:08:17.820 Uttam Kumaran: This is the thing like, I don’t want to do anything manually, so I think a waste. The problem is like this, these, these repos don’t live in our org.

59 00:08:18.030 00:08:23.959 Uttam Kumaran: so I don’t feel like I can’t. I don’t want. I can’t add

60 00:08:24.090 00:08:28.560 Uttam Kumaran: folks that aren’t working on the project to that thing. So

61 00:08:28.810 00:08:37.850 Uttam Kumaran: we need to either consider using some sort of access token or something via Daxter, to pull this repo.

62 00:08:38.190 00:08:41.556 Awaish Kumar: Yeah, but that’s what I’m doing right, I think.

63 00:08:42.090 00:08:45.500 Awaish Kumar: Meg is trying to recreate this

64 00:08:45.690 00:08:54.499 Awaish Kumar: connected directly in. But if he reach from s. 3. I have already pushed S. Txt files in s. 3

65 00:08:55.060 00:09:02.960 Awaish Kumar: for Javi and Eden, and we can add as many repos we need, and I’m using excess token, and it, and the.

66 00:09:03.290 00:09:03.780 Uttam Kumaran: Oh, my!

67 00:09:03.780 00:09:05.200 Awaish Kumar: Plan is working daily.

68 00:09:05.510 00:09:08.240 Uttam Kumaran: Okay, cool. So, Miguel, this already exists in s. 3. Then.

69 00:09:08.240 00:09:09.849 Miguel de Veyra: Okay, okay, yeah. I’ll pull it.

70 00:09:10.600 00:09:13.263 Amber Lin: Okay. So let’s say.

71 00:09:13.930 00:09:17.569 Uttam Kumaran: Can you awaish? Can you just give the link to where this is.

72 00:09:18.737 00:09:21.120 Awaish Kumar: Yes, I shared in slack channel as well.

73 00:09:21.640 00:09:22.370 Amber Lin: Oh, okay.

74 00:09:22.370 00:09:26.809 Uttam Kumaran: So yeah, let’s just so. This isn’t a blocked at all.

75 00:09:27.120 00:09:27.760 Amber Lin: Okay.

76 00:09:28.620 00:09:33.800 Uttam Kumaran: So that so that’s a good process. So I’m I, we’re not gonna be able to run repo, mix, and

77 00:09:33.900 00:09:38.669 Uttam Kumaran: on everything, especially on stuff that that we don’t own, because it’s an external org.

78 00:09:38.860 00:09:39.790 Uttam Kumaran: So

79 00:09:41.220 00:09:49.610 Uttam Kumaran: this is the process will be basically like oasis process, which is, he’s gonna use a personal act. He’s gonna use an access token to pull the repo

80 00:09:50.536 00:09:52.989 Uttam Kumaran: and then drop it into S. 3. So.

81 00:09:53.460 00:09:58.569 Uttam Kumaran: but this is yeah. This is for S. 3 to super base. So Github test 3 should be all done.

82 00:10:00.220 00:10:08.250 Miguel de Veyra: So be sorry to clarify the one I’ll pull from S. 3 is the same. Basically the the Xml file right.

83 00:10:08.810 00:10:11.072 Awaish Kumar: Yeah, it’s a txt file, because,

84 00:10:11.630 00:10:18.660 Awaish Kumar: yeah, like, I was not directly able to use repo mix. I’m using Github Api to pull.

85 00:10:18.660 00:10:19.489 Miguel de Veyra: Okay, okay, yeah, that’s.

86 00:10:19.490 00:10:21.079 Awaish Kumar: Put in a txt file.

87 00:10:21.340 00:10:25.219 Miguel de Veyra: And that should contain basically the same as the repo mix it should contain.

88 00:10:25.220 00:10:31.290 Awaish Kumar: Yeah, like a single txt file contains all the file parts and the code.

89 00:10:31.290 00:10:33.540 Miguel de Veyra: Okay, yeah, that’s fine. Then that should be fine.

90 00:10:33.540 00:10:39.750 Amber Lin: Awesome I wish so can we mark this as is it still in testing, or is it.

91 00:10:39.750 00:10:41.020 Awaish Kumar: It’s done, it’s done.

92 00:10:41.380 00:10:43.970 Amber Lin: Okay, sounds good. And

93 00:10:44.490 00:10:52.130 Amber Lin: is it for all of the all of the different client hubs? Or do we just only have a few for now.

94 00:10:52.510 00:10:57.520 Awaish Kumar: So so it depends on the configuration right now, I added. 2 clients, Eden and Javi.

95 00:10:57.954 00:11:00.960 Awaish Kumar: But any client we need. I just need a

96 00:11:01.690 00:11:10.279 Awaish Kumar: the links from make like if he needs like Xyz repos. I I can just put it in the configuration, and it will work for all.

97 00:11:10.420 00:11:15.460 Awaish Kumar: So it’s not a big development now for additional repositories.

98 00:11:16.470 00:11:22.939 Amber Lin: Did we just add it now? Or what are the costs say to adding them like.

99 00:11:23.500 00:11:24.969 Amber Lin: what do you guys think.

100 00:11:24.970 00:11:27.579 Uttam Kumaran: You just create a ticket. So

101 00:11:28.470 00:11:33.950 Uttam Kumaran: that if we want to add these 2 links, then, Miguel, you should provide the

102 00:11:34.090 00:11:40.559 Uttam Kumaran: or basically, we just need to send away the repo links that need to get added, and then a wish will add them to the sync.

103 00:11:42.290 00:11:42.900 Amber Lin: Hmm.

104 00:11:48.000 00:11:49.890 Uttam Kumaran: So if it’s Eden and Javi.

105 00:11:51.330 00:11:54.169 Uttam Kumaran: I mean, are these done? These are already there.

106 00:11:54.710 00:11:55.760 Awaish Kumar: Yes, yes.

107 00:11:56.080 00:12:00.630 Uttam Kumaran: Okay. So I don’t think like, what? What other, what other ones are we talking about?

108 00:12:01.347 00:12:05.819 Amber Lin: So, for it’s essentially repost. That’s not ours. Right.

109 00:12:06.800 00:12:10.433 Awaish Kumar: Yeah, it didn’t is isn’t ours. And it’s so. That’s

110 00:12:11.070 00:12:17.619 Awaish Kumar: what Mick was talking like. Eden. Rapport is not in the brain forge organization. It is in analytics.

111 00:12:17.870 00:12:26.380 Awaish Kumar: But I’m using personal access token. So I can actually access it. And I have moved the repo content to the S 3.

112 00:12:26.380 00:12:32.140 Amber Lin: Yeah, yeah, what other ones do we need? I mean, pool parts? Will you own the repo? So that’s fine.

113 00:12:32.610 00:12:34.480 Uttam Kumaran: Matter more. One is the only one.

114 00:12:34.680 00:12:36.690 Amber Lin: Okay. Matter, more

115 00:12:38.330 00:12:39.290 Uttam Kumaran: I think that’s it.

116 00:12:41.260 00:12:44.190 Amber Lin: Madam Urban stems. They also own the repo.

117 00:12:44.190 00:12:46.949 Uttam Kumaran: Oh, yeah, yeah, you can do the urban stems.

118 00:12:47.090 00:12:53.700 Amber Lin: Urban stems, one and any upcoming ones. I’ll just oh.

119 00:12:56.210 00:12:59.509 Awaish Kumar: So are they in the brain forge organization or the external?

120 00:12:59.510 00:13:01.450 Awaish Kumar: No, external.

121 00:13:01.860 00:13:04.880 Awaish Kumar: Okay, then, I I will need the access as well.

122 00:13:04.880 00:13:10.500 Uttam Kumaran: Can you? Ca, so I’m my my user is on everything for the most part.

123 00:13:10.600 00:13:16.950 Uttam Kumaran: So how do we can we create a way can we either create a service account or he was?

124 00:13:17.090 00:13:19.939 Uttam Kumaran: Use mine like, what can we do?

125 00:13:20.130 00:13:20.670 Uttam Kumaran: Because.

126 00:13:20.670 00:13:21.930 Awaish Kumar: This is something that.

127 00:13:21.930 00:13:28.679 Uttam Kumaran: Like. I mean, I’m I’m for the foreseeable future. I should be on most repos, but there will be a time where I’m not so

128 00:13:29.830 00:13:33.310 Uttam Kumaran: like, what should we? We could either do a service account or something.

129 00:13:34.160 00:13:38.759 Awaish Kumar: Like in Github. We don’t have. Do you have service account? I don’t remember.

130 00:13:39.060 00:13:41.709 Awaish Kumar: Like you can only create personal access tokens.

131 00:13:44.840 00:13:51.630 Awaish Kumar: I can look if there is any way. But yeah, for now I think like I can use your PE personal access token.

132 00:13:56.460 00:13:59.770 Uttam Kumaran: Okay, yeah, yeah. I guess mine.

133 00:13:59.770 00:14:04.590 Amber Lin: Let’s add it. Add your account to all of those projects.

134 00:14:04.720 00:14:05.500 Amber Lin: Cool.

135 00:14:07.750 00:14:13.020 Amber Lin: Do wish. What do you need from us? Do you need the links to repo or.

136 00:14:13.020 00:14:17.870 Awaish Kumar: Yes, links to repos, and the personal access token from Putin.

137 00:14:17.870 00:14:19.000 Amber Lin: Oh, okay.

138 00:14:19.370 00:14:20.510 Amber Lin: Link.

139 00:14:21.720 00:14:26.569 Uttam Kumaran: Yeah, I think the only thing we can do is if we create, we should create a brain forge application.

140 00:14:27.610 00:14:28.410 Awaish Kumar: Okay.

141 00:14:30.250 00:14:36.340 Uttam Kumaran: But we can consider that longer term just yeah, just.

142 00:14:36.580 00:14:38.480 Uttam Kumaran: I can give my PAT.

143 00:14:39.630 00:14:40.220 Amber Lin: Hmm!

144 00:14:45.070 00:14:47.769 Amber Lin: Forgot where you separate voice service account.

145 00:14:51.360 00:14:55.700 Uttam Kumaran: Yeah, create a brain forge, applicate Github application.

146 00:14:56.130 00:15:01.960 Uttam Kumaran: So, for example, when whenever we start with a client they’ll they’ll just add the brain forge application to their repo.

147 00:15:02.470 00:15:02.810 Amber Lin: Oh!

148 00:15:02.810 00:15:08.960 Uttam Kumaran: And then that’ll automatically give us access to that, for now we’ll just use my access token.

149 00:15:15.030 00:15:21.419 Amber Lin: Okay. Sounds good so this I need to assign to Utam 1st

150 00:15:21.790 00:15:27.760 Amber Lin: or assigned to I’ll sign to where is it? Oh, wish

151 00:15:28.510 00:15:31.499 Amber Lin: here. This is something we wanna do this week.

152 00:15:38.760 00:15:39.850 Amber Lin: 8 week.

153 00:15:40.990 00:15:44.269 Amber Lin: When do we want to get this done? When can we go.

154 00:15:44.270 00:15:46.299 Awaish Kumar: Yeah, we can do it tonight. We can.

155 00:15:46.300 00:15:47.879 Uttam Kumaran: Today, yeah, like today.

156 00:15:48.320 00:15:49.010 Amber Lin: Okay.

157 00:15:49.310 00:15:53.600 Uttam Kumaran: Yeah, I’ll I’ll already just do that where you can keep working on this other stuff.

158 00:15:53.600 00:15:59.710 Amber Lin: Okay, sounds good. So this is done. Let me go to.

159 00:16:00.380 00:16:04.529 Amber Lin: So let’s get back here. So Miguel, for this week.

160 00:16:05.210 00:16:08.439 Amber Lin: what are we going to aim to do.

161 00:16:09.808 00:16:15.560 Miguel de Veyra: Yeah, basically everything else. Well, basically, I think.

162 00:16:15.560 00:16:18.210 Awaish Kumar: And do we need this ticket like

163 00:16:19.274 00:16:25.439 Awaish Kumar: Ai 90. Because, Nick, we discussed that we don’t need to move. S. 3 Github s. 3 data to

164 00:16:25.570 00:16:26.840 Awaish Kumar: supervis. Right?

165 00:16:27.770 00:16:30.399 Miguel de Veyra: Yeah, yeah, yeah, we can just pull it directly. So we can.

166 00:16:30.400 00:16:32.470 Awaish Kumar: We can just close it. Maybe. Yeah.

167 00:16:32.470 00:16:34.300 Miguel de Veyra: Yeah, canceled or something.

168 00:16:35.620 00:16:41.799 Amber Lin: Okay, awesome. So when would we like to get these 3 done

169 00:16:44.630 00:16:47.490 Amber Lin: like what gets done first? st What gets done next.

170 00:16:51.130 00:16:53.220 Miguel de Veyra: I think. Let’s initialize first.st

171 00:16:54.850 00:16:59.699 Miguel de Veyra: I’ll do that for yeah. Let’s initialize first, st and then I’ll work on Linda.

172 00:17:00.300 00:17:10.089 Amber Lin: Okay. When will we get I don’t know if you’re doing one at one on like one after one like, when can I set the due date for it.

173 00:17:11.621 00:17:14.449 Miguel de Veyra: I think both should be done

174 00:17:15.609 00:17:22.280 Miguel de Veyra: early tomorrow, like, yeah, yeah, tomorrow. Both should be done. So 3 3 points each, I think.

175 00:17:22.740 00:17:25.540 Amber Lin: Okay, so tomorrow.

176 00:17:25.960 00:17:34.229 Amber Lin: and linear to super base, do we have the estimate of how long this is going to be? Is everything in for linear in s. 3.

177 00:17:35.656 00:17:40.390 Awaish Kumar: So data is coming to S. 3 from polyatomic.

178 00:17:40.590 00:17:47.390 Awaish Kumar: But the idea is it depends on Mcginnis and and Casey to like review

179 00:17:48.940 00:17:52.069 Awaish Kumar: data and then see if it if it has everything they need.

180 00:17:52.440 00:17:52.790 Miguel de Veyra: Yeah.

181 00:17:54.002 00:17:57.640 Amber Lin: Review, my support.

182 00:17:57.640 00:18:03.279 Awaish Kumar: And if there is any need for data transformation like I can work on that part.

183 00:18:04.160 00:18:10.310 Amber Lin: Hmm, okay. So I’ll add Miguel to review and Kc.

184 00:18:14.490 00:18:20.490 Amber Lin: To review and transformation.

185 00:18:20.490 00:18:23.929 Uttam Kumaran: Awaish. What what permissions do you need for the token?

186 00:18:24.120 00:18:26.000 Uttam Kumaran: Sorry. Just so. I could finish this up.

187 00:18:28.320 00:18:31.460 Uttam Kumaran: You just need to read access to re to contents.

188 00:18:33.750 00:18:34.780 Awaish Kumar: Yes.

189 00:18:36.460 00:18:36.990 Uttam Kumaran: Okay.

190 00:18:48.640 00:18:48.975 Awaish Kumar: Oh!

191 00:18:50.636 00:18:55.699 Amber Lin: I guess this is something that we do after tomorrow, after the 2 agents are initialized.

192 00:18:55.900 00:19:03.589 Amber Lin: Do you have an idea of what how many points this is gonna be, or how big this task is gonna be? Or do we have to figure that out.

193 00:19:03.750 00:19:07.779 Miguel de Veyra: I need. Yeah, I’m I think I need to run some spike here first.st

194 00:19:07.780 00:19:09.780 Amber Lin: Okay, okay,

195 00:19:11.270 00:19:21.600 Amber Lin: So let’s review S, 3 linear spike on

196 00:19:27.870 00:19:35.920 Amber Lin: okay. So Thurs is, Thursday a good time. Wednesday, Thursday.

197 00:19:36.210 00:19:37.610 Amber Lin: Like, what do you think?

198 00:19:39.250 00:19:40.319 Amber Lin: When would be a good.

199 00:19:40.320 00:19:42.500 Miguel de Veyra: Thursday. I think Thursday should be good.

200 00:19:43.070 00:19:44.000 Amber Lin: Sounds good.

201 00:19:44.400 00:19:47.809 Amber Lin: Thursday. Then it leaves up with some.

202 00:19:48.780 00:19:52.240 Amber Lin: It does leave us with some capacity.

203 00:19:52.910 00:20:01.190 Miguel de Veyra: No, because we haven’t. We haven’t like this is just S. 3 to super base. Get up to super base. But the initialization isn’t, you know.

204 00:20:01.560 00:20:07.729 Miguel de Veyra: linear. And Github isn’t part of initialization. So I still need to add those into the agents.

205 00:20:08.100 00:20:20.440 Amber Lin: So let me add another ticket ticket of add Github and linear to all 8 agents.

206 00:20:21.990 00:20:25.370 Amber Lin: Okay, awesome to do.

207 00:20:28.180 00:20:31.630 Amber Lin: Project whatever.

208 00:20:32.040 00:20:35.819 Amber Lin: And how many points do you think that’s gonna take.

209 00:20:35.820 00:20:38.780 Miguel de Veyra: Oh, 5 at least.

210 00:20:39.460 00:20:40.070 Amber Lin: Okay.

211 00:20:42.110 00:20:45.069 Miguel de Veyra: And then Friday, I think, wouldn’t be the time. We can finish this.

212 00:20:45.070 00:20:46.230 Amber Lin: Sounds good.

213 00:20:46.450 00:20:50.129 Amber Lin: So I think that’s a do you think that’s a good amount for this week

214 00:20:50.270 00:20:52.340 Amber Lin: like, is that a good capacity.

215 00:20:53.648 00:20:55.560 Miguel de Veyra: Wait! Let me check the points.

216 00:20:57.750 00:20:59.649 Amber Lin: 3, 3, 5, 5.

217 00:21:01.040 00:21:02.159 Miguel de Veyra: Yeah, I think so.

218 00:21:04.060 00:21:12.070 Amber Lin: For tomorrow linear. If I I mean, if this gets done sooner, that means this can get sooner, and then we can

219 00:21:12.210 00:21:26.470 Amber Lin: look at all of the backlog items. Let’s plan for another day to go through all the backlogs I know, added quite a few, so we should have another day to just groom all the backlogs. I think this is.

220 00:21:26.680 00:21:28.620 Amber Lin: But for now we know what we need

221 00:21:29.328 00:21:35.310 Amber Lin: for, Casey. Casey is out sick today. Do you know any updates on this part.

222 00:21:39.496 00:21:45.560 Miguel de Veyra: I think slacks. I think there should be. Yeah, I mean, it’s marked done already, or in review.

223 00:21:47.500 00:21:48.449 Amber Lin: This one.

224 00:21:49.330 00:21:53.260 Miguel de Veyra: Sorry to slack S. 3 to supervise. Oh, this one I’m doing already.

225 00:21:54.030 00:21:56.979 Amber Lin: Oh, so is it, is it your ticket actually.

226 00:21:56.980 00:21:59.370 Miguel de Veyra: Embed slack messaging uses. Con.

227 00:22:00.680 00:22:04.399 Miguel de Veyra: No, we’re not embedding anymore. Yeah, cause we’re sticking with context.

228 00:22:04.800 00:22:07.529 Miguel de Veyra: And it’s I think he marked as blocked or something.

229 00:22:08.640 00:22:11.860 Amber Lin: Oh, oh, no!

230 00:22:12.050 00:22:12.740 Amber Lin: I think.

231 00:22:14.860 00:22:19.590 Miguel de Veyra: Okay. But yeah, I mean, this one is all a default. This is fine. I found a way to do this.

232 00:22:20.530 00:22:22.690 Amber Lin: Oh, filter, raw file! But, client.

233 00:22:23.120 00:22:25.509 Amber Lin: is this one? Are we talking about this ticket?

234 00:22:25.790 00:22:35.530 Miguel de Veyra: Yeah. Yeah. Cause the the problem with if we get it from S. 3 is that there’s so much transformation that needs to be done. That’s why

235 00:22:35.530 00:22:38.050 Miguel de Veyra: I already have done that right?

236 00:22:38.700 00:22:49.830 Miguel de Veyra: Yeah, yeah. But the problem with that is that it’s so much stuff to do to to transform it. But then there’s like an easy path to just get it from anything, download it, transform it manually, and then just update basically.

237 00:22:49.830 00:22:50.530 Awaish Kumar: Okay.

238 00:22:50.530 00:22:50.920 Miguel de Veyra: And it’s.

239 00:22:50.920 00:22:51.620 Awaish Kumar: But I’m not.

240 00:22:55.670 00:22:59.609 Amber Lin: Hmm, so will we be doing things manually.

241 00:22:59.940 00:23:02.210 Miguel de Veyra: No, no, not manually. It’s also set up

242 00:23:02.845 00:23:05.770 Miguel de Veyra: schedule, trigger, and anything so that should be fine.

243 00:23:06.700 00:23:07.815 Amber Lin: Okay,

244 00:23:09.070 00:23:16.609 Amber Lin: So sorry, I’m trying to figure out what this means. So if we figure that out, so this is figured out right.

245 00:23:16.860 00:23:22.600 Miguel de Veyra: Yes, yes, basically. Me. And the wish worked on the same thing. Just different methods.

246 00:23:23.700 00:23:29.219 Amber Lin: Oh, I I know. Last week we talked about this. How can we

247 00:23:29.400 00:23:33.019 Amber Lin: aim to avoid doing like the same thing?

248 00:23:33.190 00:23:34.219 Awaish Kumar: Actually, so.

249 00:23:34.680 00:23:35.950 Amber Lin: For this week.

250 00:23:35.950 00:23:37.889 Awaish Kumar: Way we we did it because.

251 00:23:38.611 00:23:48.099 Awaish Kumar: I was working on to bring this pipe like, build this pipeline, but at the same time needed something to go out.

252 00:23:48.460 00:23:49.390 Awaish Kumar: Yeah.

253 00:23:49.680 00:23:59.669 Awaish Kumar: And then the to build the agents like that was priority. So hence make worked on something. But yeah, like.

254 00:24:01.315 00:24:06.540 Awaish Kumar: but otherwise, like. I think it. It was okay that we can

255 00:24:06.680 00:24:09.489 Awaish Kumar: split these dots between us here.

256 00:24:10.000 00:24:13.350 Amber Lin: Okay? So I guess we can also, just

257 00:24:13.780 00:24:39.110 Amber Lin: every standard will clarify very clearly what? What are we working on? And then make sure that we’re not doing 2 things at the same time. Or we can just maybe you guys can call a little bit more often to just make sure, because I I don’t want you guys to work on the same thing like, Wait. I did this, but oh, you also did that. And then we have to decide where we actually using. So it will waste some more time in there.

258 00:24:40.140 00:24:46.110 Amber Lin: So let’s mark this is this review. Is it done? Is it cancelled?

259 00:24:47.050 00:24:48.070 Miguel de Veyra: I think I’m done.

260 00:24:48.480 00:24:49.060 Amber Lin: Okay.

261 00:24:49.330 00:24:49.900 Miguel de Veyra: Yeah.

262 00:24:50.500 00:24:53.000 Amber Lin: Awesome, so.

263 00:24:53.000 00:25:01.109 Miguel de Veyra: And then back to Casey’s clients. I ticket. Sorry. Where’s Casey in progress?

264 00:25:01.530 00:25:03.000 Miguel de Veyra: I think that’s the same.

265 00:25:03.370 00:25:05.900 Amber Lin: Are we doing slack to superbase? Still.

266 00:25:05.900 00:25:12.990 Miguel de Veyra: Yeah, yeah, we do need it. But that’s the the. It’s the same ticket as the one with the wave. So this one we should probably move to cancel.

267 00:25:14.710 00:25:25.110 Amber Lin: Oh, I thought this was this was s, 3 to super base.

268 00:25:25.620 00:25:28.869 Amber Lin: Yeah. So so I should edit the title of that ticket.

269 00:25:31.100 00:25:31.800 Miguel de Veyra: Yeah.

270 00:25:36.040 00:25:39.700 Amber Lin: So this is canceled.

271 00:25:40.650 00:25:41.540 Miguel de Veyra: Yeah, yeah.

272 00:25:41.790 00:25:42.550 Amber Lin: Okay?

273 00:25:44.100 00:25:45.029 Amber Lin: Right?

274 00:25:45.900 00:25:49.519 Amber Lin: Then we Casey has capacity here.

275 00:25:50.030 00:25:57.599 Miguel de Veyra: Yeah, I’ll probably yeah. I’ll probably speak with them. I’m duplicating some of the processes, so I don’t have to do it like 5 times 6 times.

276 00:25:57.967 00:26:02.751 Amber Lin: I see, I see, so maybe he can help with especially help with

277 00:26:03.120 00:26:06.570 Miguel de Veyra: Yeah, I mean, we also have to do it for pool parts, and the other ones.

278 00:26:08.290 00:26:11.099 Amber Lin: Oh, wait! Where’s oh, yeah.

279 00:26:11.390 00:26:11.980 Miguel de Veyra: Yeah.

280 00:26:11.980 00:26:13.719 Amber Lin: 3, these 3.

281 00:26:14.370 00:26:26.979 Amber Lin: So once, because that means we can push the deadline even faster. I mean, this tomorrow makes sense. But for these, like for these 2 tickets. I guess we can push it faster. We do have a lot of capacity here.

282 00:26:26.980 00:26:36.090 Miguel de Veyra: And then, yeah, there’s some stuff also that I still that we still need to work on for the slack thing. I’ll speak with him tomorrow. But yeah, well, I’ll create a ticket and then update you on that.

283 00:26:36.090 00:26:47.569 Amber Lin: Okay, thank you. Thank you. I was just gonna say that that’s awesome. Let’s look at a wages tickets. So we move some stuff to done zoom to s 3 when we say.

284 00:26:47.570 00:26:48.130 Miguel de Veyra: The.

285 00:26:48.510 00:26:51.909 Awaish Kumar: Yeah, I should. I told you that it is blocked.

286 00:26:52.650 00:26:55.810 Amber Lin: Okay. Well, is it blocked?

287 00:26:57.530 00:27:04.239 Awaish Kumar: No like. We mentioned that they already worked on Zoom Megan Casey. So

288 00:27:04.830 00:27:08.810 Awaish Kumar: we are like we. I just put it in a

289 00:27:09.360 00:27:11.219 Awaish Kumar: block, right. I didn’t work with it

290 00:27:12.250 00:27:14.540 Awaish Kumar: after I just worked on discovery

291 00:27:15.390 00:27:18.139 Awaish Kumar: like looking at Dexter and how

292 00:27:18.250 00:27:23.729 Awaish Kumar: we can use it. But yeah, we didn’t have worked. Actually, we didn’t add it. Zoom

293 00:27:24.110 00:27:27.999 Awaish Kumar: pipelines on texture, because it is using limit based

294 00:27:29.245 00:27:33.700 Awaish Kumar: architecture. And we are using windmill. And I just.

295 00:27:33.700 00:27:34.080 Amber Lin: See.

296 00:27:34.080 00:27:37.070 Awaish Kumar: Data is already like that. Pipeline is already done.

297 00:27:37.850 00:27:43.609 Amber Lin: So the the pipeline we have right now is working. And it’s currently on Windmill, I guess.

298 00:27:44.010 00:27:55.440 Amber Lin: for this ticket. We originally wanted to have it on Daxter. But since Dax, we’re still figuring out Daxter. This is more of like a discovery spike ticket than actually like a Dax.

299 00:27:55.440 00:27:57.469 Awaish Kumar: Yeah, that’s kind of.

300 00:27:58.060 00:28:01.860 Amber Lin: So can I mark this one as.

301 00:28:01.860 00:28:03.449 Awaish Kumar: You might get it done for now.

302 00:28:03.450 00:28:09.600 Amber Lin: And then we can do before the Daxter stuff we’ll have like a separate Daxter ticket.

303 00:28:09.600 00:28:10.220 Awaish Kumar: Yeah.

304 00:28:12.650 00:28:15.229 Amber Lin: These snack test.

305 00:28:16.420 00:28:17.770 Awaish Kumar: Yeah, these are done.

306 00:28:17.770 00:28:21.039 Amber Lin: This is done. Okay, it’s done. Linear.

307 00:28:21.040 00:28:22.240 Awaish Kumar: And it’s Minnesota.

308 00:28:23.220 00:28:26.240 Amber Lin: Yeah, in internal review.

309 00:28:26.840 00:28:29.219 Amber Lin: That’s done right?

310 00:28:29.890 00:28:30.640 Awaish Kumar: Yes.

311 00:28:31.340 00:28:38.890 Amber Lin: Okay, do we need this for other clients as well, Miguel, to backfill older meeting.

312 00:28:39.790 00:28:42.449 Awaish Kumar: No, no, I’ll go back, for I have.

313 00:28:42.450 00:28:43.340 Miguel de Veyra: Honestly, I think.

314 00:28:43.340 00:28:43.970 Awaish Kumar: Actually did.

315 00:28:43.970 00:28:49.430 Miguel de Veyra: This the backfill. Let’s let’s let’s keep this here for now, because I think he did some of it.

316 00:28:49.720 00:28:54.660 Amber Lin: Yeah, we did it for Javi and Eden. I was wondering if we need it for other.

317 00:28:54.660 00:28:57.520 Miguel de Veyra: Yeah, yeah, well, we definitely need it. I’m just not sure.

318 00:28:57.520 00:28:58.010 Amber Lin: If you did.

319 00:28:58.010 00:28:59.580 Miguel de Veyra: It also already.

320 00:29:01.470 00:29:02.270 Amber Lin: Okay.

321 00:29:02.270 00:29:03.889 Miguel de Veyra: Well, yeah, we can ask him tomorrow.

322 00:29:04.450 00:29:08.729 Amber Lin: Okay, is this something that needs a wage? Or is this something that Casey can do.

323 00:29:11.396 00:29:18.909 Miguel de Veyra: I think could be, I think he’ll need. I’m not sure how you guys did it, so.

324 00:29:19.120 00:29:22.279 Amber Lin: I wish, how did how did this happen? How did we accomplish?

325 00:29:25.300 00:29:26.220 Amber Lin: Huh? Sorry.

326 00:29:27.510 00:29:30.509 Awaish Kumar: Yeah. So I haven’t worked on this like, I don’t know.

327 00:29:30.750 00:29:33.340 Miguel de Veyra: Yeah, I think no, no, I think

328 00:29:33.530 00:29:36.239 Miguel de Veyra: the amber. I think the problem here is, I think.

329 00:29:36.804 00:29:42.580 Miguel de Veyra: case, you’ve already put everything here. So yeah, I’ll double check with him, because this ticket could be done.

330 00:29:43.090 00:29:51.570 Amber Lin: Okay. I think this one is definitely done for Javi and Eden. I’m just not sure for other ones. I’ll make another ticket. If it’s done. We’ll just move that one to done as well.

331 00:29:51.570 00:29:52.370 Miguel de Veyra: Yeah, yeah.

332 00:29:52.370 00:29:55.350 Amber Lin: Oh, I think this was was this Casey’s ticket.

333 00:29:55.350 00:29:56.830 Miguel de Veyra: Yeah, this was Casey stick.

334 00:29:56.830 00:29:58.359 Amber Lin: It’s a ticket. Okay?

335 00:29:58.650 00:30:00.960 Amber Lin: Great. Done.

336 00:30:03.960 00:30:06.290 Amber Lin: Create a

337 00:30:09.640 00:30:10.810 Amber Lin: copy.

338 00:30:12.560 00:30:13.290 Amber Lin: Okay

339 00:30:19.750 00:30:23.770 Amber Lin: to checking.

340 00:30:24.930 00:30:31.140 Amber Lin: And then alright, we’ll check on that great

341 00:30:32.420 00:30:36.840 Amber Lin: data source and review. I’ll figure that one out.

342 00:30:37.190 00:30:46.120 Amber Lin: Dax, I guess. Yeah, these 2. Are we still wanting to move things to? We have 2 min? Do we still want to move things, to Daxter.

343 00:30:46.120 00:30:52.190 Uttam Kumaran: For the for that one. I think a wish said that we’re gonna use Daxter. So let’s just mark that as done

344 00:30:53.750 00:30:59.360 Uttam Kumaran: 1 58. Yeah, we basically decided that that’s done. And then

345 00:30:59.590 00:31:02.869 Uttam Kumaran: the point he just made on this windmill thing is that

346 00:31:03.020 00:31:07.220 Uttam Kumaran: so we’re it’s working. We can move it to Daxter.

347 00:31:07.761 00:31:10.750 Uttam Kumaran: I think, for now we’re just gonna leave it right away.

348 00:31:10.750 00:31:11.640 Miguel de Veyra: Yeah, yeah.

349 00:31:11.920 00:31:13.449 Awaish Kumar: Okay, so let’s kick.

350 00:31:13.450 00:31:15.999 Amber Lin: It is going to require like.

351 00:31:16.190 00:31:18.469 Awaish Kumar: From discovery, and some like.

352 00:31:18.470 00:31:20.412 Uttam Kumaran: So yeah, let’s just kick it back.

353 00:31:20.820 00:31:23.939 Uttam Kumaran: Just yeah. Just leave leave it and ready for development.

354 00:31:24.080 00:31:24.730 Amber Lin: Yeah.

355 00:31:25.790 00:31:27.150 Uttam Kumaran: Kick it out. Yeah.

356 00:31:27.390 00:31:27.920 Amber Lin: No, you can.

357 00:31:27.920 00:31:32.649 Uttam Kumaran: Put it as a low prior it already disappeared.

358 00:31:32.650 00:31:39.519 Amber Lin: Okay, that’s right? So seems like we have capacity.

359 00:31:40.115 00:31:57.740 Amber Lin: I don’t know, because the way she must have a lot of other projects that’s going on. So we have capacity here, and we have capacity for Casey. Let’s let’s go look at our backlog. Maybe like later Tuesday or early Wednesday, and then we can pull some more stuff in.

360 00:32:01.780 00:32:08.980 Miguel de Veyra: Okay? Yep. Okay. Cause I think there’s some. Yeah. The tickets I’ll create, probably earlier tomorrow.

361 00:32:09.770 00:32:14.710 Miguel de Veyra: There’s some stuff that I need to update, especially the ones for slack. Zoom should be fine.

362 00:32:15.830 00:32:18.649 Miguel de Veyra: Github will figure out, so yeah, okay.

363 00:32:19.000 00:32:19.319 Amber Lin: All right.

364 00:32:19.320 00:32:19.840 Miguel de Veyra: Too much.

365 00:32:19.840 00:32:25.500 Amber Lin: Add anything. Any add any tickets? We’ll look at them tomorrow. I know your day is probably over already.

366 00:32:25.960 00:32:36.100 Uttam Kumaran: Yeah, there’s so there. So just to recap, there’s like 87 total issues.

367 00:32:36.200 00:32:36.870 Miguel de Veyra: Points.

368 00:32:37.180 00:32:40.949 Uttam Kumaran: Or point points. Okay? And then I’m looking at the okay. Okay?

369 00:32:41.090 00:32:41.790 Uttam Kumaran: Great.

370 00:32:42.560 00:32:47.909 Amber Lin: Yeah. So cause only most of our things that still need to get done is just

371 00:32:49.010 00:32:51.369 Amber Lin: here, it’s just here.

372 00:32:51.500 00:32:54.690 Amber Lin: And so it’s it’s it’s here, too.

373 00:32:57.223 00:33:07.019 Miguel de Veyra: I have a question quick one, should we? I know we have, like one or 2 new AI clients. Right? Should we also create

374 00:33:07.130 00:33:11.930 Miguel de Veyra: and agents for those already at least a placeholder. Just initialize it.

375 00:33:14.320 00:33:18.760 Uttam Kumaran: The thing is, I don’t think I don’t know either of those are gonna be.

376 00:33:19.350 00:33:25.970 Uttam Kumaran: Well, yeah, that’s a good question. I mean, I think probably y’all will need to think about.

377 00:33:26.370 00:33:32.640 Uttam Kumaran: And maybe this is working with the operations team about like whenever we sign a new client like, what is our process for.

378 00:33:32.640 00:33:33.710 Miguel de Veyra: Onward!

379 00:33:34.120 00:33:35.330 Uttam Kumaran: Onboarding. Yeah.

380 00:33:35.730 00:33:43.339 Uttam Kumaran: So maybe something for the backlog. And then basically like how we can when a new client signs up, how does this team basically get

381 00:33:43.580 00:33:46.759 Uttam Kumaran: assigned a task to initialize an agent for them.

382 00:33:46.760 00:33:47.689 Amber Lin: Yeah, stuff, like.

383 00:33:47.690 00:33:48.350 Uttam Kumaran: Chat.

384 00:33:49.710 00:33:59.260 Miguel de Veyra: That’s also, I think, amber. That’s also a ticket like, but but low prior, like basically a document on how to initialize a new agent.

385 00:34:01.330 00:34:08.440 Miguel de Veyra: I think, definitely cause. So you know, it wouldn’t take long, like ideally a day, and then a new agents up and running.

386 00:34:10.360 00:34:11.980 Amber Lin: Okay? What?

387 00:34:13.050 00:34:14.420 Amber Lin: Ops.

388 00:34:14.949 00:34:22.130 Amber Lin: Let me add that to cycle ready for development.

389 00:34:24.020 00:34:26.919 Amber Lin: Yeah, I will go. I’ll add, that

390 00:34:27.840 00:34:34.029 Amber Lin: sounds good. Probably we’re gonna move this out of this cycle. Is that okay?

391 00:34:35.679 00:34:36.139 Uttam Kumaran: Sure!

392 00:34:36.639 00:34:37.339 Amber Lin: Yeah.

393 00:34:37.969 00:34:44.489 Uttam Kumaran: Just put in ready for development. I mean, like I if I once, if once I get an hour here, so I’ll just probably crush through that.

394 00:34:47.380 00:34:52.130 Amber Lin: Do you want to get this done this week, or is this doesn’t need to be in this cycle.

395 00:34:54.009 00:34:59.333 Uttam Kumaran: I would say, leave it. I I just freed up like a ton of time. So I’m gonna do this

396 00:34:59.600 00:35:03.180 Amber Lin: Okay, okay, awesome. And you have the documentation. Right? Casey.

397 00:35:03.180 00:35:04.710 Uttam Kumaran: Yeah. So I’m gonna do that.

398 00:35:04.710 00:35:08.150 Amber Lin: I have to run. We’ll meet again to look at backlog.

399 00:35:08.450 00:35:09.000 Uttam Kumaran: Cool.

400 00:35:09.400 00:35:11.160 Amber Lin: Yeah. Alrighty. Bye.

401 00:35:11.160 00:35:11.980 Miguel de Veyra: Thanks everyone. Bye-bye.

402 00:35:11.980 00:35:12.740 Uttam Kumaran: Thank you.