- प्लैटफ़ॉर्म
- YouTube
- अवधि
- 2:38
- बोली जाने वाली भाषा
- अमेरिकी अंग्रेज़ी
- व्यूज़
- 4.5 हज़ार
- औसत कट
- 4.67s
- स्क्रीन पर चेहरा
- 95%
- गहरे फ़्रेम
- 0%
Benchling cuts migration time by 75% with cloud agents की ट्रांसक्रिप्ट
फ़िल्म के अपने ऑडियो से एक स्पीच मॉडल द्वारा लिखा गया, ब्रांड द्वारा नहीं। उस पल पर जाने के लिए किसी भी पंक्ति पर क्लिक करें।
- 0:03Hi, I'm Emily. I am a software engineer on the developer productivity team at BenchLink.
- 0:10We are really trying to advance the pace of life sciences development.
- 0:15We really have this culture of experimentation, especially with AI.
- 0:20Cursor really stood out right away because of its customizability and extensibility as compared to some of the other tools.
- 0:28We have a very complex developer environment.
- 0:32Think lots of requirements, custom Docker files,
- 0:34that's all running locally.
- 0:36But cloud agents in particular,
- 0:39this is what we're most excited about.
- 0:40We're able to lift that entire local development
- 0:43up into the cloud.
- 0:44We have thousands of old enzyme tests in our code base.
- 0:49We need to migrate them to RTL,
- 0:51and it's blocking a major React upgrade for us.
- 0:53It was moving very slowly.
- 0:55We were quoting about a year
- 0:56to get this entire migration done.
- 0:59But what we've tried out in the past quarter
- 1:02is we've rolled out cloud agents.
- 1:05Let's orchestrate hundreds of agents
- 1:07that we spin off and do migrations for us.
- 1:10Now the scale and the rate
- 1:13at which we're converting our RTL tests
- 1:16has increased significantly
- 1:18to the point we are quoting about one quarter
- 1:21to finish this rather than an entire year.
- 1:24We've really sort of built up a whole developer experience around cloud agents.
- 1:3030% of our merged PRs are actually from cloud agents now.
- 1:34We're able to support that with skills and context in order to match the quality we still expect.
- 1:41Cursor is really helping advance a lot of the speed and the quality piece.
- 1:45And the Composer models have been very cost efficient in that regard and still giving us a great output.
- 1:53it. We actually give developers the option to choose out of a set of AI tools and to choose
- 2:02out of most available models. We have seen that people have gravitated towards Cursor because of
- 2:09its cloud agent capability. Each quarter we run a development survey. Last quarter we rolled out
- 2:16Cursor cloud agents. What we saw from last quarter to this quarter was a 20% jump in AI
- 2:23developer satisfaction. We also saw that 95% of our developers are satisfied with
- 2:29our AI tooling right now.
37 पंक्तियाँ · 367 शब्द
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