Meeting Title: Engineering Leads Sync Date: 2025-08-07 Meeting participants: Awaish Kumar, Sam Roberts, Uttam Kumaran


WEBVTT

1 00:05:56.700 00:05:58.029 Sam Roberts: Hey? Sorry about that.

2 00:06:03.580 00:06:04.270 Awaish Kumar: Hello!

3 00:06:05.230 00:06:06.190 Sam Roberts: How are you?

4 00:06:06.800 00:06:08.410 Awaish Kumar: Doing good. How about you?

5 00:06:09.530 00:06:19.699 Sam Roberts: Doing alright doing alright. Got a little distracted. I saw the open AI Gpt. 5. Announcement. Video.

6 00:06:20.790 00:06:25.130 Sam Roberts: Sorry, was watching that, and got a little sidetracked, but

7 00:06:28.380 00:06:29.540 Sam Roberts: alright

8 00:06:34.650 00:06:35.730 Sam Roberts: big time.

9 00:06:35.840 00:06:36.960 Sam Roberts: Wednesday.

10 00:09:32.520 00:09:35.389 Awaish Kumar: You know, Sam, like, do you have anything to fill in.

11 00:09:36.650 00:09:44.440 Sam Roberts: Yeah, I mean, not a ton yet. I’m still kind of getting to know everything but

12 00:09:44.580 00:09:48.530 Sam Roberts: I was hoping anytime we could talk through some of that a little bit better.

13 00:09:51.820 00:09:55.000 Sam Roberts: The only thing. Hold on. Where is next?

14 00:10:01.740 00:10:04.040 Sam Roberts: Interviewing excellent stuff. I think I hadn’t

15 00:10:04.850 00:10:08.900 Sam Roberts: misread this. I wanted to say, like, yeah stuff that I am.

16 00:10:12.960 00:10:13.460 Sam Roberts: It’s

17 00:10:28.430 00:10:30.140 Sam Roberts: oh, he’s in another call. Got it.

18 00:19:10.240 00:19:11.040 Awaish Kumar: Hello!

19 00:19:23.610 00:19:27.560 Uttam Kumaran: Sorry I was just finishing up another stand up.

20 00:19:28.830 00:19:29.520 Sam Roberts: We did.

21 00:19:31.010 00:19:34.340 Awaish Kumar: Was that extendable or external time meeting.

22 00:19:36.180 00:19:39.029 Uttam Kumaran: Oh, it’s for default! It was a external meeting.

23 00:19:40.550 00:19:44.540 Awaish Kumar: Okay, how? How was cause? Actually.

24 00:19:46.670 00:20:03.209 Uttam Kumaran: It was good. I mean, actually, I mean, I Mustafa. Any Mustafa stuff is going really well, like we have 3 work streams we’re working on for them. We’re developing play tables. We are also consulting on data architecture. And then we’re helping with product analytics, the product analytics. We’ve made very little progress on

25 00:20:03.370 00:20:06.519 Uttam Kumaran: like Henry was supposed to own it. But.

26 00:20:07.141 00:20:10.570 Uttam Kumaran: I don’t have any like. That’s probably the biggest

27 00:20:11.080 00:20:22.810 Uttam Kumaran: sort of like area for us right now is like, I don’t have anything to show for that. So I’ve I’ve asked him to sort of produce something that I could share, not just like more plans by the end of this week.

28 00:20:23.110 00:20:26.769 Uttam Kumaran: and if if that’s not possible, then I’ll probably have to.

29 00:20:27.030 00:20:29.530 Uttam Kumaran: you know. Take over and deliver that work so.

30 00:20:32.630 00:20:33.470 Awaish Kumar: Okay.

31 00:20:37.602 00:20:41.407 Uttam Kumaran: Cool. Yeah. I don’t know if you if you were able to.

32 00:20:43.008 00:20:48.750 Uttam Kumaran: kind of explain to Sam sort of our last process here. Typically, we would spend some time

33 00:20:48.910 00:20:50.440 Uttam Kumaran: adding notes

34 00:20:50.590 00:20:55.669 Uttam Kumaran: either before this meeting or at the beginning. I’ve just been in back to back, so I didn’t have a chance to. But

35 00:20:56.028 00:20:58.649 Uttam Kumaran: maybe I wish I can let you drive this meeting. And

36 00:21:01.220 00:21:04.499 Uttam Kumaran: yeah, we can walk through it, whatever whatever we want to do.

37 00:21:05.670 00:21:13.010 Awaish Kumar: Yeah, like, I think I I added some notes, and also Sam has started adding some.

38 00:21:13.290 00:21:16.769 Awaish Kumar: We can start from the top and discuss.

39 00:21:17.380 00:21:22.504 Awaish Kumar: It’s cool it in the order. Yeah. So like

40 00:21:23.290 00:21:26.689 Awaish Kumar: for the coaching side, like any session was done today.

41 00:21:27.444 00:21:34.060 Awaish Kumar: It was mostly introductory. It was there, and some others like

42 00:21:34.210 00:21:39.480 Awaish Kumar: the first.st It was. It was like just sharing the things. And I I see that.

43 00:21:39.880 00:21:42.660 Awaish Kumar: And he was open to share

44 00:21:43.870 00:21:49.419 Awaish Kumar: what she feels. So I would wait for another session to to actually

45 00:21:49.858 00:21:54.959 Awaish Kumar: have a proper answer like, How is is it a clear win within sessions or not

46 00:21:55.731 00:21:58.699 Awaish Kumar: and we’re planning that session next next week.

47 00:21:59.555 00:22:02.914 Awaish Kumar: But for that session I would like a clear agenda.

48 00:22:03.840 00:22:07.529 Awaish Kumar: alright, maybe I will create it, or something like that. Say, we have a.

49 00:22:07.530 00:22:08.470 Uttam Kumaran: Yeah, you can create it.

50 00:22:08.470 00:22:09.070 Awaish Kumar: For me.

51 00:22:09.070 00:22:11.949 Uttam Kumaran: Yeah, basically, why are you going to be

52 00:22:12.070 00:22:14.059 Uttam Kumaran: you? You can probably use AI to just

53 00:22:14.220 00:22:17.600 Uttam Kumaran: tell it to like, Hey, we’re planning on doing these coaching sessions.

54 00:22:17.850 00:22:19.839 Uttam Kumaran: and we can create a template for these.

55 00:22:20.990 00:22:22.980 Awaish Kumar: Yeah, so.

56 00:22:23.315 00:22:25.920 Uttam Kumaran: And for Sam, you’re your context where

57 00:22:26.100 00:22:29.489 Uttam Kumaran: we’re starting to pair some people up with external coaches.

58 00:22:30.100 00:22:31.060 Uttam Kumaran: Just like.

59 00:22:31.170 00:22:37.200 Uttam Kumaran: like, for example, like, I have a I have some friends that are really senior data modeling folks. And so

60 00:22:37.310 00:23:04.249 Uttam Kumaran: right now, typically myself, in a way, are like the most senior data folks, but we’re both really low on time to sort of do specific one on one coaching. And I was like, called some friends or like, Hey, would you be available for a couple of hours a week just to like sit with one or 2 engineers, go through their tickets, review any code pair program sort of like an easy way for us to level people up, you know, without like having that to come on to to me.

61 00:23:04.870 00:23:05.699 Uttam Kumaran: or a wish.

62 00:23:05.700 00:23:06.420 Sam Roberts: Right? Right?

63 00:23:08.790 00:23:10.909 Sam Roberts: Okay, that makes sense.

64 00:23:11.800 00:23:17.785 Awaish Kumar: Okay? And then the next one is Kyle. I have been out of touch rhythm for few

65 00:23:18.990 00:23:26.470 Awaish Kumar: weeks, like cause. Obviously like time zone differences. But we have scheduled a meeting for tomorrow.

66 00:23:26.590 00:23:31.360 Awaish Kumar: I would go over like kind of things we have discussed.

67 00:23:31.610 00:23:34.430 Awaish Kumar: and see like how it goes.

68 00:23:36.880 00:23:37.290 Uttam Kumaran: Okay, great.

69 00:23:38.690 00:23:55.270 Uttam Kumaran: I would suggest. Like having a like making sure he can send you create a 1 on one doc before and write notes there. Like for any of the one on one meetings. I would probably, unless the other person writes the Doc, I wouldn’t take the meeting like I would just delay it.

70 00:23:55.952 00:24:01.590 Uttam Kumaran: We I want to get in the habit of people writing 1st and like.

71 00:24:02.100 00:24:15.940 Uttam Kumaran: and and I don’t know. I don’t know, Sam, how you ran at your past places. But like we’re just such a fully remote company, and all the remote companies I’ve been at before struggle with this and that, like nobody prepares for meetings, and then meetings are like

72 00:24:16.250 00:24:29.682 Uttam Kumaran: kind of sometimes just become a a little bit of like so redundant or or wasteful and I want people to rely more on like writing their thoughts down before, or people who run meetings to sort to basically have

73 00:24:30.140 00:24:31.869 Uttam Kumaran: to basically have those

74 00:24:32.450 00:24:42.149 Uttam Kumaran: their thoughts written down. So the meetings are like much more productive because I know about myself like, I can’t sit anymore in like meetings where that 1st 1010 min is

75 00:24:42.330 00:24:48.180 Uttam Kumaran: are all like, what are we even here for? It’s becoming really hard for me. So

76 00:24:48.650 00:24:52.889 Uttam Kumaran: I want the person who’s leading to meetings actually set up an agenda

77 00:24:53.010 00:24:56.039 Uttam Kumaran: and come to the meeting prepared with like, here’s what we’re gonna do.

78 00:24:57.870 00:25:03.779 Sam Roberts: Yeah, I think that’s that’s always been the best like meetings that I’ve had have been set up that way, especially a remote

79 00:25:04.030 00:25:05.819 Sam Roberts: or even like

80 00:25:06.190 00:25:12.509 Sam Roberts: the way we like. I, you know, when I had the spike earlier, and I was like, Can you guys review this before the meeting kind of thing not like during the meeting. Like all that kind of like prep.

81 00:25:12.510 00:25:12.930 Uttam Kumaran: Yes.

82 00:25:12.930 00:25:17.959 Sam Roberts: Before meetings makes a lot makes just meetings much more efficient. And

83 00:25:18.220 00:25:21.660 Sam Roberts: you know, and I think that’s that’s a smart way to do it. If we can get in that habit.

84 00:25:21.660 00:25:31.730 Uttam Kumaran: Yeah, I think it’s gonna be up to like us. Yeah, it’s gonna be up to us who have like worked. You know, these environments more often before, to like coach. Everybody, you know.

85 00:25:33.200 00:25:35.030 Sam Roberts: Yeah, yeah, it might be a little.

86 00:25:35.030 00:25:38.230 Sam Roberts: Yeah, I’ve had reminding people and stuff. So yeah.

87 00:25:39.910 00:25:43.204 Awaish Kumar: Yeah, I already have documents like for each person

88 00:25:44.030 00:25:51.430 Awaish Kumar: where? Where? I do like that. And then we have. Yeah, I wrote some

89 00:25:51.570 00:25:58.750 Awaish Kumar: health and like everybody for any, we already have a coach. So yeah, for Kyle, we’ll figure out tomorrow

90 00:25:58.950 00:26:03.530 Awaish Kumar: of our team is picking up stuff like from hidden side

91 00:26:04.156 00:26:12.090 Awaish Kumar: grabbing more, more like information about things. So yeah, so far, so good. And also I’m adding

92 00:26:12.950 00:26:15.569 Awaish Kumar: things. Things are good on the heating side

93 00:26:18.620 00:26:23.949 Awaish Kumar: for for the excellence like for for that engineering excellence like we have.

94 00:26:24.470 00:26:29.960 Awaish Kumar: I need like, we need more tests for Meta plane for Eden in Meta plane. Right? We added some.

95 00:26:30.100 00:26:33.890 Awaish Kumar: but I see like recent incidents where

96 00:26:34.130 00:26:37.889 Awaish Kumar: we did have some data investigations.

97 00:26:38.020 00:26:41.670 Awaish Kumar: So I would like to try to turn them into some desks.

98 00:26:42.180 00:26:48.299 Awaish Kumar: so we test them, and similar. I don’t know what the status on urban stem side.

99 00:26:49.200 00:26:56.299 Uttam Kumaran: Yeah, I mean, I I was. It was. It was on me to do it, and I just haven’t had time, like I would love someone

100 00:26:56.580 00:27:01.619 Uttam Kumaran: like I I want. We wanted Ryan to do it before, but he just would like drop the ball.

101 00:27:01.720 00:27:09.619 Uttam Kumaran: I think, for me it would be great if, like, I can pair with somebody like I don’t know if Vash Dev is interested in this, or I may ask

102 00:27:09.800 00:27:11.940 Uttam Kumaran: Casey or Mustafa, because

103 00:27:12.180 00:27:17.290 Uttam Kumaran: it doesn’t seem like anybody on the data team is like particularly interested in this. So.

104 00:27:20.510 00:27:23.910 Awaish Kumar: No, I think.

105 00:27:25.560 00:27:30.750 Sam Roberts: Bye, now, sorry. Go ahead.

106 00:27:30.750 00:27:31.659 Awaish Kumar: Sorry. Go ahead. Sorry.

107 00:27:31.660 00:27:32.360 Uttam Kumaran: Projects.

108 00:27:32.360 00:27:37.119 Sam Roberts: No, I just I was just looking for. I just wasn’t sure what the context here was if I even need it, or you know.

109 00:27:37.120 00:27:42.240 Uttam Kumaran: Oh, yeah, go ahead away. She want to give the context on on on it, on Meta plane.

110 00:27:43.690 00:27:46.050 Awaish Kumar: Yeah, like, Meta, plane is a tool for

111 00:27:46.200 00:27:56.617 Awaish Kumar: for monitoring, like the data quality of the models, how we build. So basically, if there’s any

112 00:27:57.410 00:28:00.809 Awaish Kumar: data issues like the duplications or

113 00:28:01.270 00:28:04.419 Awaish Kumar: of the outliers. So we can detect them

114 00:28:05.079 00:28:12.860 Awaish Kumar: for electric lens into the customer dashboard. And we can fix those. So that’s the tool for monitoring data quality.

115 00:28:13.430 00:28:15.880 Awaish Kumar: And yeah, I would ask

116 00:28:16.485 00:28:24.170 Awaish Kumar: but like right now, the kind of he he’s on like 20 h per week. I think that’s already kind of

117 00:28:24.850 00:28:27.720 Awaish Kumar: being utilized by the Canadian.

118 00:28:27.720 00:28:28.120 Uttam Kumaran: Okay.

119 00:28:28.120 00:28:30.160 Awaish Kumar: Native foam and and Apc.

120 00:28:30.450 00:28:33.010 Awaish Kumar: Like, at least for this week. I don’t know

121 00:28:33.160 00:28:36.780 Awaish Kumar: ABC. Stuff might get dropped like in the next.

122 00:28:37.080 00:28:39.379 Awaish Kumar: Actually, we might not have the data. Still.

123 00:28:40.990 00:28:41.960 Uttam Kumaran: Okay. Okay.

124 00:28:41.960 00:28:42.810 Awaish Kumar: Then I, yeah.

125 00:28:42.810 00:28:48.979 Uttam Kumaran: Yeah, I think maybe that’s something we can talk about like, do we? If we, if we feel comfortable to move them to full time.

126 00:28:50.830 00:28:52.639 Uttam Kumaran: And he can start to take that on.

127 00:28:55.010 00:28:56.360 Uttam Kumaran: Yeah, we can see.

128 00:28:57.100 00:28:57.759 Uttam Kumaran: But okay.

129 00:28:57.760 00:29:04.020 Awaish Kumar: Yeah, from next week, we can try that. And yeah, in terms of quoting

130 00:29:04.170 00:29:17.350 Awaish Kumar: standardization, like, there are few things I’ve used in the past like the kind of using. Get pretty commits hooks. For for example, where we are writing python code or something, we can standardize

131 00:29:17.900 00:29:21.960 Awaish Kumar: alright and then share the configuration between us. So

132 00:29:22.680 00:29:28.190 Awaish Kumar: the the like. The code base is, is kind of standardized.

133 00:29:28.620 00:29:32.960 Awaish Kumar: Similarly for Spiri, right now we all have different ways of writing it.

134 00:29:33.110 00:29:39.470 Awaish Kumar: And when. And some of us use AI to build something, and we can do some

135 00:29:39.830 00:29:42.660 Awaish Kumar: integrations available for Vs code for zoom

136 00:29:43.510 00:29:50.120 Awaish Kumar: and make make it a standard for everybody to like, format it, using that. So it is in the same.

137 00:29:51.330 00:29:52.879 Awaish Kumar: send fall back to court.

138 00:29:55.140 00:29:59.510 Awaish Kumar: And yeah, one thing you already like signed it to me. I I don’t know.

139 00:29:59.720 00:30:00.699 Awaish Kumar: I don’t know.

140 00:30:00.930 00:30:04.330 Awaish Kumar: Had a time to implement that like it was about the git leaks.

141 00:30:05.230 00:30:09.589 Awaish Kumar: Sure I would go back to that as well. So you can identify.

142 00:30:10.990 00:30:16.579 Awaish Kumar: Someone should have like the push any passwords or something to the Github

143 00:30:18.728 00:30:29.130 Awaish Kumar: and then I added one comment. For the Meta plan stuff. I I forgot to discuss that. So right now. Like we, we normally write. Notion talks

144 00:30:29.240 00:30:36.030 Awaish Kumar: calm like if there is any investigation, and then like, it’s very hard to

145 00:30:36.540 00:30:38.900 Awaish Kumar: like, figure out anything in the notion

146 00:30:39.220 00:30:43.810 Awaish Kumar: and like go back and then search for something

147 00:30:44.590 00:30:54.100 Awaish Kumar: so like, I would like to track data shows, like, for example, for Aiden, from time to time, we do get escalations or data issues, or maybe internally, we catch it, or

148 00:30:54.460 00:30:58.840 Awaish Kumar: the external team catches it, and then we investigate. Fix it. But then,

149 00:31:00.390 00:31:04.299 Awaish Kumar: or there are some like the data questions, then we lose sight of it

150 00:31:05.531 00:31:13.479 Awaish Kumar: the next time the same question arises, and then we don’t know like what was answered. Maybe we previously like investigated already.

151 00:31:14.350 00:31:19.249 Awaish Kumar: so I don’t know. Like how to better track that maybe have a

152 00:31:19.390 00:31:25.869 Awaish Kumar: data issues tracker spreadsheet, or maybe some better platform to to handle that.

153 00:31:42.040 00:31:45.969 Awaish Kumar: Yeah. So like, this would be the place where we.

154 00:31:46.230 00:31:52.110 Awaish Kumar: any data issue arises goes into there. If it’s available there for like auditing.

155 00:31:52.310 00:31:55.865 Awaish Kumar: any investigation will be linked there and then,

156 00:31:56.670 00:32:01.840 Awaish Kumar: might, we might add new tests based on that. And and, like the Meta plane is going to be.

157 00:32:02.210 00:32:07.159 Awaish Kumar: It’s fine when you manage using that

158 00:32:08.000 00:32:10.370 Awaish Kumar: maintain. For example, it doesn’t matter

159 00:32:14.650 00:32:16.690 Awaish Kumar: right. Do you have any comment on that?

160 00:32:20.800 00:32:21.700 Sam Roberts: Immediately, Tom.

161 00:32:28.530 00:32:30.140 Uttam Kumaran: Is that a question? Is that a question for me?

162 00:32:31.380 00:32:33.599 Awaish Kumar: Yeah, I was asking, like, you have a

163 00:32:34.120 00:32:37.350 Awaish Kumar: like, the, for example, maintaining Meta play like we we

164 00:32:37.890 00:32:47.069 Awaish Kumar: so like you prioritized it, added some test. Now, like kind of we, we do. We are adding more stuff to it. We are getting issues.

165 00:32:47.240 00:33:00.200 Awaish Kumar: data issues. But that is not being maintained like incrementally, we are not adding more tests to it. So like one of the ways to like standardizing the standardizing, tracking of all the data issues.

166 00:33:00.510 00:33:06.620 Awaish Kumar: linking it with all the investigations, and then, if needed, converting them

167 00:33:07.200 00:33:13.810 Awaish Kumar: to test, for example. So that way, like the Meta plane, will be maintained like we don’t need to add

168 00:33:14.200 00:33:20.530 Awaish Kumar: hundreds of tests for meaningless tests. But, like that way, we know, like these are the

169 00:33:20.670 00:33:26.700 Awaish Kumar: data issues which arise and they are. They are very critical, and we can just add test for those that

170 00:33:26.810 00:33:30.209 Awaish Kumar: that way, like incrementally like Meta plane, will be mandate.

171 00:33:38.830 00:33:40.800 Awaish Kumar: What do you think, Bob?

172 00:33:46.860 00:33:53.899 Uttam Kumaran: Yeah, I mean, I, someone has to own the Meta plane like it, can’t. It just can’t be me. So until we have someone to do that like

173 00:33:54.380 00:34:01.639 Uttam Kumaran: I don’t know what to do. I I will say, like, we need to start doing like postmortems and better, like incident

174 00:34:01.840 00:34:03.410 Uttam Kumaran: related stuff

175 00:34:03.700 00:34:10.270 Uttam Kumaran: when there are issues so like, that’s something that I I’m gonna I’m gonna start enforcing. And I’m already starting to do but

176 00:34:11.880 00:34:17.860 Uttam Kumaran: like the we also have to talk to the project managers to make sure they do that because they’ve they sort of scramble.

177 00:34:18.110 00:34:26.529 Uttam Kumaran: And they just like we need to make sure that they do that. But I’m kind of curious, Sam. If you have anything on pre-commit hooks, or

178 00:34:26.770 00:34:28.070 Uttam Kumaran: like sort of make

179 00:34:28.070 00:34:33.939 Uttam Kumaran: sure that things don’t get into the like credentials don’t get into platform, but I don’t really care as long as

180 00:34:34.340 00:34:39.120 Uttam Kumaran: this happens, and and y’all can own this, I’m game for anything.

181 00:34:40.440 00:34:48.000 Awaish Kumar: Yeah, like, this was something I am thinking, right. It’s it’s not like, I want. I want you to own it like it’s more like the idea.

182 00:34:48.000 00:34:57.940 Uttam Kumaran: No, I’m I’m good. I’m good to do it, but I think we should. We should consider as part of like a batch of work, whether it’s like code quality improvements, or however you want to call

183 00:34:58.510 00:35:00.190 Uttam Kumaran: this category of stuff.

184 00:35:00.360 00:35:03.190 Uttam Kumaran: But yeah, we should do pre commit hooks.

185 00:35:03.310 00:35:10.939 Uttam Kumaran: They. We should also consider the Arpr Aipr reviews. We should consider linting, like all of that we should do.

186 00:35:12.830 00:35:13.460 Awaish Kumar: Okay.

187 00:35:13.460 00:35:23.849 Sam Roberts: Yeah, I mean, that was some of the stuff I had as well like I wanted to talk through some of that from my side, which was like other tools. That prettier pre-commit hooks are a decent idea. Sometimes they can be

188 00:35:24.110 00:35:30.240 Sam Roberts: a little restrictive. Sometimes sometimes I think, like a Pre.

189 00:35:30.420 00:35:32.340 Sam Roberts: Is it a pre push code?

190 00:35:32.580 00:35:34.169 Sam Roberts: We’re like, it can’t get pushed

191 00:35:35.830 00:35:52.789 Sam Roberts: But like I can. Still, you know, if there’s intermediate steps and things like that. I’ve had some debates about that in the past. But if it’s for things like yeah, keys or passwords, or something. Definitely pretty commitment for that I don’t know. I’m not sure. Lack

192 00:35:53.090 00:35:54.820 Sam Roberts: specifically is, but.

193 00:35:55.840 00:35:57.109 Uttam Kumaran: Like python linking.

194 00:35:57.640 00:36:01.324 Sam Roberts: Oh, okay, okay, yeah. So I’m not much of a python guy. But yeah, totally.

195 00:36:02.450 00:36:04.859 Uttam Kumaran: I mean we should have something for Js as well.

196 00:36:05.410 00:36:10.159 Sam Roberts: That’s what. Yeah, that’s what I had up here was prettier, was what I I’ve used in the past. It it works right into

197 00:36:10.270 00:36:16.319 Sam Roberts: cursor beats code, and it I mean no, it it’s just opinionated it. It forces a certain kind of

198 00:36:18.110 00:36:23.689 Sam Roberts: style that you can. You can customize a little bit. But really the the thing is to have a style and have a consistent, you know.

199 00:36:24.150 00:36:29.499 Sam Roberts: consistent thing that way, and then it kind of avoids some of the needs for pre commits from like a

200 00:36:30.130 00:36:34.893 Sam Roberts: Javascript typescript angle, because it every time you save it, enforces it. So

201 00:36:35.560 00:36:36.220 Uttam Kumaran: Okay.

202 00:36:36.630 00:36:46.280 Sam Roberts: But yeah, the the sharing like and files was the next thing I had was wondering about a little bit, because I think someone shared some through slack for me, because I needed to get something up and running, and I wasn’t sure if we had a good way to

203 00:36:46.700 00:36:49.589 Sam Roberts: do that. Otherwise, you know, it definitely wasn’t.

204 00:36:49.590 00:36:50.290 Uttam Kumaran: File, sharing.

205 00:36:51.200 00:36:57.429 Sam Roberts: Or for specifically for, like sensitive files like, and then, like an environment, variable folder or file.

206 00:36:57.430 00:37:00.670 Uttam Kumaran: Well, I’ve been using one time secret like.

207 00:37:00.670 00:37:01.180 Sam Roberts: Okay.

208 00:37:01.180 00:37:03.659 Uttam Kumaran: That’s what I’ve been using like

209 00:37:04.210 00:37:09.000 Uttam Kumaran: we could also do private gist. But one time secret is probably

210 00:37:09.850 00:37:18.590 Uttam Kumaran: the easiest, and then we use one password. So like one password also is is fine. And then for any file sharing, we should just use Google drive.

211 00:37:18.930 00:37:19.440 Uttam Kumaran: you know.

212 00:37:20.430 00:37:21.140 Sam Roberts: With the program.

213 00:37:21.140 00:37:22.770 Uttam Kumaran: Permissions. Yeah.

214 00:37:22.770 00:37:26.700 Sam Roberts: Sure. Alright good. Yeah, that’s just some of the stuff. I was curious about a little bit, but I think

215 00:37:26.870 00:37:29.890 Sam Roberts: you know, we’re kind of talking similar stuff to some different sides of it. Here.

216 00:37:30.660 00:37:31.300 Uttam Kumaran: Okay.

217 00:37:31.420 00:37:36.150 Uttam Kumaran: yeah, I have to. I have to hop to a fine thing in a few minutes. So wait, maybe let me know if there’s

218 00:37:36.380 00:37:41.910 Uttam Kumaran: I could let you guys stay on. But is there anything else that’s like super pressing that we want to go through.

219 00:37:43.340 00:37:46.469 Uttam Kumaran: We have Sam stuff that we want to make sure to hit while I’m here.

220 00:37:47.560 00:37:49.490 Awaish Kumar: Yeah, like I am.

221 00:37:49.740 00:37:51.870 Awaish Kumar: So you already know about this.

222 00:37:52.610 00:37:55.740 Awaish Kumar: like for Demo, we already talking with.

223 00:37:55.880 00:37:58.470 Uttam Kumaran: Yeah, yeah. So I’ll figure that out for you soon.

224 00:37:58.780 00:38:04.459 Awaish Kumar: No, yeah. Yeah. Kyle’s next week out of office. Soon

225 00:38:07.000 00:38:11.020 Awaish Kumar: we have to. Someone has to call us. And it happens to them. And then.

226 00:38:11.570 00:38:17.410 Awaish Kumar: like, I need to discuss that. But like we can do this thing about North main thing.

227 00:38:21.370 00:38:35.349 Uttam Kumaran: Yeah, I think my overall fe- feedback I think on Sam is, I think, every week when we meet it could also be good to start talking about like the AI team. I mean, currently, it’s just Casey and me and you. But

228 00:38:35.450 00:38:52.330 Uttam Kumaran: I would love to talk about okay, like, what are what are you standards we want to do? How do we feel about everybody on the team? I’ll let you know. Like as we start recruiting and things like that. But yeah, I think this is a good path for us to say, okay, across both teams that we improve.

229 00:38:52.950 00:39:12.879 Uttam Kumaran: you know, excellence. But on the AI side, I think there’s certainly gonna be a lot of like, okay, how do we run more sessions like that we did today? Like is there? We do a retro on that and figure out like what would be better. I mean, I do think that there’s a lot of people across the company that are interested or currently use AI, and somehow engaging them would be great. You know.

230 00:39:14.290 00:39:19.660 Sam Roberts: Yeah, yeah, I mean, I think, yeah, we can definitely do something like that. There’s definitely a

231 00:39:19.840 00:39:23.210 Sam Roberts: I don’t have a great sense of, like the

232 00:39:24.620 00:39:36.609 Sam Roberts: how much people are using certain tools, obviously so pretty fresh to all this in general. And I haven’t interacted with everyone’s. But I mean, is there a good way to even just get like a survey of like what people are using?

233 00:39:37.780 00:39:45.660 Uttam Kumaran: Yeah, we could do a survey. The other thing is, I think, like, we have all the logs available. And I think also

234 00:39:46.150 00:39:51.109 Uttam Kumaran: we have logs, and I think bosh, dev is also starting to bring some of that. So like you can go into

235 00:39:51.350 00:39:59.909 Uttam Kumaran: like N. 8 N. And see stuff. But it’s just probably something that we need to do either. Yeah, we do a survey or something else. But again, like some way of figuring out like

236 00:40:00.250 00:40:01.780 Uttam Kumaran: what people are using.

237 00:40:03.500 00:40:07.450 Sam Roberts: Okay, yeah, we. I’ll put some thought of that. Maybe I’ll connect and see what I can learn.

238 00:40:08.550 00:40:11.379 Uttam Kumaran: Okay, okay, yeah, that would be great.

239 00:40:12.065 00:40:37.470 Uttam Kumaran: Just give us a good like understanding. But over time, like, we can start looking at like, okay, how many tokens do we use across the company like what features are being used across the platform and cursor? If you log into cursor on the web. I can give you access. You can see who’s using it so ideally like something that we can do. You know, over time it starts to just report out like, what is AI usage across the company? Right? So

240 00:40:39.730 00:40:53.090 Uttam Kumaran: one thing that I’ll start probably become a to date. I’ve just encouraged people. But I think at some point it’ll become more of like a Hey, you’re not using AI what’s going on right? And I want to start to get. I want to start to.

241 00:40:53.740 00:40:59.089 Uttam Kumaran: to get towards the ability for us to look at all, look at the same data and and do that.

242 00:41:00.030 00:41:03.279 Sam Roberts: Yeah, definitely, the right thing to work towards.

243 00:41:03.790 00:41:06.080 Uttam Kumaran: It’s getting there. It’s always slow.

244 00:41:06.080 00:41:06.550 Uttam Kumaran: Yeah.

245 00:41:06.550 00:41:08.310 Sam Roberts: Cool, cool. Alright.

246 00:41:08.480 00:41:10.410 Sam Roberts: Are you hopping off to the ABC.

247 00:41:10.630 00:41:12.699 Uttam Kumaran: Yes, I’m gonna hop off there.

248 00:41:12.880 00:41:16.019 Sam Roberts: Okay, did you? I think I was on that, too. So I wasn’t.

249 00:41:16.020 00:41:16.750 Uttam Kumaran: Okay. Cool.

250 00:41:16.750 00:41:17.520 Sam Roberts: It’s just shadowing.

251 00:41:17.520 00:41:18.200 Awaish Kumar: Thank you.

252 00:41:18.890 00:41:19.660 Uttam Kumaran: Alright, I’ll leave any.

253 00:41:19.660 00:41:20.040 Uttam Kumaran: Yes.

254 00:41:20.370 00:41:24.160 Uttam Kumaran: I’ll leave it in, comments Async, and then we can still talk in that channel, as we have ideas.

255 00:41:24.740 00:41:25.479 Sam Roberts: Sounds good.

256 00:41:26.360 00:41:27.310 Uttam Kumaran: Okay. Thank you.

257 00:41:27.660 00:41:28.490 Sam Roberts: Cool. Yeah.