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2023-Changelog-Interviews-Transcripts

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[2528.36 --> 2530.72] And, uh, they get it too.
[2530.72 --> 2535.76] Cause yeah, you know, we were in a pitch meeting the, the other week where it was like a large
[2535.76 --> 2537.28] kind of fortune 500 energy company.
[2537.62 --> 2539.34] And there was not a program in the room.
[2539.34 --> 2543.66] It was just kind of like, you know, high level business owners, um, who are all very
[2543.66 --> 2546.02] skeptical until we got to Cody.
[2546.02 --> 2550.04] We opened up, you know, one of their open source libraries and asked Cody to explain what
[2550.04 --> 2550.70] was going.
[2550.88 --> 2555.60] And one person leaned in and they were like, you know, I'm, I haven't coded in like 30
[2555.60 --> 2558.00] years and even I would get value out of this.
[2558.20 --> 2560.52] So yeah, it's, it's just absolutely incredible.
[2560.86 --> 2562.98] Your total adjustable market got a lot bigger.
[2563.22 --> 2563.46] Yeah.
[2563.88 --> 2564.06] Yeah.
[2564.06 --> 2564.28] Right.
[2564.28 --> 2564.68] Yeah.
[2564.70 --> 2566.36] Cause like what is an engineer now?
[2566.62 --> 2572.44] Um, I think it's like in, in a couple of years, uh, almost every human in the world
[2572.44 --> 2575.70] will be empowered to create software and in some, some fashion.
[2575.92 --> 2581.62] You said before that Cody leverages all that source graph is today, the intelligence.
[2581.78 --> 2581.96] Yep.
[2582.14 --> 2583.18] Will that always be true?
[2583.18 --> 2586.64] I guess is maybe the more basic way to answer that or ask that question.
[2586.64 --> 2592.38] Because at some point, if this is the, you know, the, the largest arc in your hockey stick
[2592.38 --> 2598.12] growth and all the up from here is, you know, not so much Cody related, but Cody driven really.
[2598.40 --> 2598.50] Yeah.
[2599.12 --> 2603.78] Does what source graph do at large now eventually become less and less important?
[2603.90 --> 2609.72] And the primary interface really is this natural language Cody interface that explains
[2609.72 --> 2610.20] my code.
[2610.64 --> 2611.34] That's a great question.
[2611.42 --> 2615.78] It's like, you know, does, does AI just like swallow all of programming at some point?
[2615.78 --> 2621.30] Like at some point do we cease to write, uh, kind of like old traditional, like systems
[2621.30 --> 2624.60] oriented, uh, software in the von Neumann tradition.
[2624.60 --> 2625.46] You hand wrote that code?
[2626.36 --> 2626.76] What?
[2627.88 --> 2632.64] You wrote a for loop instead of just like asking it nicely to repeat something?
[2632.88 --> 2633.02] Nicely.
[2633.10 --> 2633.88] Forget code search.
[2633.98 --> 2634.92] I don't even read code.
[2635.22 --> 2636.72] Like, why are you reading code?
[2637.64 --> 2638.42] Let alone searching.
[2638.50 --> 2638.76] Right.
[2638.90 --> 2639.16] Yeah.
[2639.38 --> 2642.92] I, you know, this is still very early days.
[2642.92 --> 2647.88] So, uh, it's very difficult to predict, but the way I think about it, it, I think about
[2647.88 --> 2654.04] it in, in terms of like, maybe we have, there are different types of computers that can exist
[2654.04 --> 2654.88] in the world.
[2654.88 --> 2658.14] Like a traditional, you know, like PC, that's one type of computer.
[2658.56 --> 2661.24] You can maybe say like the human brain is another type of computer.
[2661.76 --> 2666.64] Um, and then these language models, I think they're, they're a new type of computer and they
[2666.64 --> 2671.98] do some things a lot better than, you know, the PC type of computer did.
[2671.98 --> 2674.16] Uh, and then something's much worse.
[2674.16 --> 2675.78] Like they're far less precise.
[2676.48 --> 2680.64] Um, I think I saw a tweet the other day where someone repeatedly asked, you know, GPT-4,
[2680.76 --> 2682.68] whether, you know, four was greater than one.
[2682.80 --> 2688.04] And then at some point GPT-4 got unsure of itself and said, oh no, actually I was mistaken.
[2688.20 --> 2689.22] You know, one is greater than four.
[2689.42 --> 2690.00] I apologize.
[2690.68 --> 2691.68] Yeah, exactly.
[2691.80 --> 2692.12] Exactly.
[2692.76 --> 2692.90] Yeah.
[2693.18 --> 2693.94] So I apologize.
[2694.28 --> 2697.72] So I think these two types of computers are actually very complimentary.
[2697.72 --> 2703.52] And so like the most powerful systems are going to be the ones that combine both and
[2703.52 --> 2708.34] feed the inputs of one and the outputs of the other, uh, and, and synthesize them in
[2708.34 --> 2709.22] a way that's truly powerful.
[2709.22 --> 2711.78] And, and we're already seeing early examples of this.
[2711.78 --> 2716.82] Like Cody is one, you know, we use kind of like the, the Chomsky style, like code understanding
[2716.82 --> 2720.76] tech with the more Norvig style, you know, language models.
[2720.76 --> 2725.94] Um, Bing search is another, you know, where, uh, they're using chat GPT, uh, for, for
[2725.94 --> 2729.32] the AI part of it, but they're still relying on kind of traditional Bing web search.
[2729.32 --> 2733.08] And so I think we'll see a lot of hybrid systems emerge that combine the best of both worlds.
[2733.40 --> 2733.54] Yeah.
[2735.02 --> 2735.70] Exciting times.
[2735.78 --> 2736.56] Thanks for talking to us.
[2736.68 --> 2736.84] Yeah.
[2736.88 --> 2737.78] Thanks for having me on.
[2738.04 --> 2738.68] Good seeing you again.
[2738.72 --> 2739.14] Good talking.
[2739.46 --> 2740.26] Pleasure chatting with you.
[2741.04 --> 2741.40] Yeah.
[2741.40 --> 2741.94] That was fun.
[2742.02 --> 2742.36] That's exciting.
[2742.36 --> 2743.08] You guys are good at this.
[2743.08 --> 2743.84] I'm excited for you.
[2743.84 --> 2743.94] Yeah.
[2743.94 --> 2744.12] Yeah.
[2744.12 --> 2744.34] Yeah.
[2744.34 --> 2744.40] Yeah.
[2744.40 --> 2744.94] Yeah.
[2744.94 --> 2745.00] Yeah.
[2745.00 --> 2745.50] Yeah.
[2745.50 --> 2746.00] Yeah.
[2746.00 --> 2746.38] Yeah.
[2746.38 --> 2746.50] Yeah.
[2746.50 --> 2747.00] Yeah.
[2747.00 --> 2747.06] Yeah.
[2750.76 --> 2765.04] So in the sponsor of Minnesota here in the breaks, I'm here with Tom who dev advocate
[2765.04 --> 2767.18] at Sentry on the code cove team.
[2767.18 --> 2770.48] So Tom, tell me about Sentry's acquisition of code cove.