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[1628.66 --> 1630.90] I think it's the exact opposite of a zero sum game. |
[1630.90 --> 1631.10] Okay. |
[1631.10 --> 1635.48] I think there's like so much left to build that, uh, you know, the, the market is, is |
[1635.48 --> 1637.08] huge and, and vastly growing. |
[1637.88 --> 1642.00] Um, we do have, uh, features that copilot doesn't have. |
[1642.00 --> 1647.28] So, you know, currently they don't have, uh, kind of like a chat based, uh, you know, textual |
[1647.28 --> 1650.28] input to ask high level questions about the, the code. |
[1650.98 --> 1654.16] Um, I think that's coming in copilot X to some extent, but |
[1654.16 --> 1655.40] Yeah, I think they announced that, but it's not out yet. |
[1655.46 --> 1655.76] I don't think. |
[1655.76 --> 1656.38] It's not out yet. |
[1656.38 --> 1659.26] And if you, if you look at the video, the, the kind of context fetching they're doing, |
[1659.26 --> 1661.18] it's basically like, you know, you're currently open file. |
[1661.26 --> 1662.00] Explain that. |
[1662.00 --> 1664.30] And, and Cody is already doing much, much more than that. |
[1664.30 --> 1668.14] It's, it's reading, uh, even if you ask it a question about the current file, it'll actually |
[1668.14 --> 1671.98] go and read other files in your code base that it thinks are related and use that to inform |
[1671.98 --> 1672.46] your answer. |
[1672.46 --> 1676.48] So, so we think, you know, the power of source graph gives us a bit of a competitive edge |
[1676.48 --> 1682.24] there with the kind of high level questions and onboarding and kind of like rubber ducking |
[1682.24 --> 1683.14] a use case. |
[1683.32 --> 1686.92] And then for completions, you know, I think copilot is, is great. |
[1687.10 --> 1690.08] Um, but for, for completions, we're essentially doing the same thing. |
[1690.08 --> 1694.92] So like the completions that Cody generates, it takes, uh, into account that same context |
[1694.92 --> 1696.42] when it's, it's completing code. |
[1696.42 --> 1703.60] So that means it's, it's better able to kind of mimic or, or emulate the patterns and best |
[1703.60 --> 1706.42] practices in your specific code base. |
[1706.42 --> 1711.88] And again, because we're kind of open source and model agnostic, we are just integrating |
[1711.88 --> 1715.10] all the best language models as, as they come online. |
[1715.10 --> 1718.94] So I think, you know, Anthropic, I don't know when this episode's going out, but Anthropic |
[1718.94 --> 1720.36] today just, okay, pretty quick. |
[1720.36 --> 1721.36] The 24th. |
[1721.36 --> 1722.36] Yeah. |
[1722.36 --> 1725.16] So Anthropic just announced today that they have a new version of Claude that has a, |
[1725.16 --> 1728.24] a, an incredible, like a hundred thousand token context window. |
[1728.24 --> 1733.60] It's just like, uh, uh, I think like orders of magnitude more than, than, uh, |
[1733.60 --> 1735.28] what was previously available. |
[1735.28 --> 1739.82] And, uh, that should be, I mean, by the time this episode goes online, that should, it should |
[1739.82 --> 1740.88] be available on Cody. |
[1740.88 --> 1741.88] Yeah. |
[1741.88 --> 1745.82] Whereas, you know, Copilot, I think they're like, uh, maybe someone from GitHub can correct |
[1745.82 --> 1748.94] me if I'm wrong, but I think they're still using the codex model, which was released in |
[1748.94 --> 1750.10] like 2021 or something. |
[1750.10 --> 1756.54] Um, and so it's a, it's a much smaller model, um, that only has around like 2000 tokens of, |
[1756.54 --> 1760.38] of context window and much more basic context fetching. |
[1760.38 --> 1763.46] It's already incredibly useful, but I think we're, we're kind of taking it, taking it to |
[1763.46 --> 1764.46] the next level a little bit. |
[1764.46 --> 1765.46] Right. |
[1765.46 --> 1767.46] So open source and model agnostic. |
[1767.46 --> 1769.62] Open source, model agnostic. |
[1769.62 --> 1773.14] We're not locking you in to like a vertical proprietary platform. |
[1773.14 --> 1774.14] Proxy friendly. |
[1774.14 --> 1775.14] Proxy friendly. |
[1775.14 --> 1778.38] Uh, also enterprise friendly, you know, source graph. |
[1778.38 --> 1783.92] We, we, we, we've made ourselves easy to use in both cloud and on premises environments. |
[1783.92 --> 1788.18] So we're just trying to do the best thing for our customers and for developers at large. |
[1788.18 --> 1793.66] So because you're model agnostic, does that mean that you're not, you're not doing any |
[1793.66 --> 1796.68] of the training of the base layer models? |
[1796.68 --> 1798.42] So do you also sidestep legal concerns? |
[1798.42 --> 1803.78] Cause I know like with, with codex and copilot, there's been, there's at least one high profile |
[1803.78 --> 1804.94] lawsuit that's pending. |
[1804.94 --> 1808.08] Like there's, there's legal things happening. |
[1808.36 --> 1809.54] There's going to be things litigated. |
[1809.82 --> 1813.32] I'm wondering if you're in the target for that now with Cody or if you're just not because |
[1813.32 --> 1814.58] there's other people's models. |
[1814.58 --> 1819.44] No, we're, we're very mindful of that and, um, we actually integrate models in a couple |
[1819.44 --> 1820.00] of different ways. |
[1820.00 --> 1822.56] So we do it for kind of like the chat based autocomplete. |
[1822.56 --> 1826.46] There's a separate model we use for code completions and, and there's another model that we use |
[1826.46 --> 1829.94] for like embeddings based, uh, code search and information retrieval. |
[1829.94 --> 1832.40] Um, and it's kind of like a mix and match. |
[1832.40 --> 1835.64] Like sometimes we'll use like a proprietary off the shelf model. |
[1835.64 --> 1837.90] Other times we'll, we'll use the model that we fine tuned. |
[1837.90 --> 1842.82] Um, but for the ones that, uh, the models that we do rely on external service providers |
[1842.82 --> 1849.62] for, um, we're very mindful of the kind of like evolving legal and IP landscape. |
[1849.62 --> 1852.94] And so one of the things that we're, we're currently building is, is basically like copyright |
[1852.94 --> 1855.76] code, uh, or, or copied code detection. |
[1855.76 --> 1859.78] And if you think about it, like source graph as a code search engine is, is kind of like |
[1859.78 --> 1862.50] in, in a great position to, to build this feature. |
[1862.50 --> 1867.30] It's like, if you emit a line of code or you write a line of code, uh, that is, you |
[1867.30 --> 1874.04] know, verbatim copied from, uh, uh, somewhere else, uh, in open source or, or even in your |
[1874.04 --> 1877.14] own proprietary code base, you know, you might be worried about just like code duplication. |
[1877.14 --> 1880.74] We can, we can flag that for you because we've built, we've been building code search for |
[1880.74 --> 1881.74] the past 10 years. |
[1881.74 --> 1882.74] Yeah. |
[1882.74 --> 1883.74] Cool stuff, man. |
[1883.74 --> 1887.74] So moving fast, what comes next? |
[1887.74 --> 1892.00] When are you going to drop Cody two? |
[1892.00 --> 1893.76] It's probably like a week from now, right? |
[1893.76 --> 1894.76] Yeah. |
[1894.76 --> 1895.76] That's a great question. |
[1895.76 --> 1899.72] I mean, we are just kind of like firing all on all cylinders here. |
[1899.72 --> 1903.74] We have a lot of interesting directions to explore, like one, one direction or one dimension |
[1903.74 --> 1906.68] that we're expanding in is just integrating more pieces of context. |
[1906.68 --> 1911.68] So one of the reasons why we wanted to open source Cody, um, is because we just want to |
[1911.68 --> 1916.24] be able to integrate like context from wherever it is and not be limited by, you know, a single, |
[1916.24 --> 1917.86] you know, code host or a single platform. |
[1917.86 --> 1922.66] Like there's so much institutional knowledge, uh, that's in many different systems might |
[1922.66 --> 1923.66] be in Slack. |
[1923.66 --> 1925.58] It might be in, uh, you know, GitHub issues. |
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