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Most enterprise software requires customers to write a lot of custom "glue code" — ETL pipelines, integrations, and custom workflows. By generating custom code for uncommon, company-specific use cases, LLMs have the potential to remove the need for glue code altogether. Pete Koomen

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39,304 görüntüleme • 2 yıl önce •via X (Twitter)

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Brian Sowards (he/they) profil fotoğrafı
Brian Sowards (he/they)2 yıl önce

@koomen working on it, broader patterns: 1. Workflow - tools enabling you to use AI with no code @copy_ai 2. Call transcript mining - everything is recorded, now it’s data @BuildBetterAI 3. Agents for messaging - call center, SDRs Convergence of the above could eliminate ETL

BuildBetter profil fotoğrafı
BuildBetter2 yıl önce

@ycombinator @koomen @copy_ai Appreciate the shout out! We got some more crazy “transcript mining” comin’ out this quarter :)

Amir Prodensky profil fotoğrafı
Amir Prodensky2 yıl önce

@koomen @StradaHQ

Tony Zanders profil fotoğrafı
Tony Zanders2 yıl önce

@garrytan @koomen @jboursiquot

Shreya Gupta profil fotoğrafı
Shreya Gupta2 yıl önce

Yes 🙌🏽 the current ecosystem is complex, extremely partner led and in silos… an LLM solution that automates integration and simplifies conf. with natural language can be a game changer but the challenge will be to achieving accurate and reliable integrations, scalability and performance optimization - but focused pilot run would be a great place to start with. I am IN if someone wants to build this 🤩

Gabriel Cezar profil fotoğrafı
Gabriel Cezar2 yıl önce

@koomen That's exactly what @naologicnocode does for many customers

andy moore profil fotoğrafı
andy moore2 yıl önce

@koomen 7 y x x xx 4 6 xxl z6 6b. Can x y 6 ct xy ye you 5z. v g SZETSVX CAN

Strada (YC S23) profil fotoğrafı
Strada (YC S23)2 yıl önce

@koomen somebody say enterprise glue? 👋

Johnnie Walker profil fotoğrafı
Johnnie Walker2 yıl önce

@koomen Agreed 100%, it's glue and/or custom apps, but potential for Ai generated code to efficiently solve company-specific tasks is big - see use case #3 in article I wrote:

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