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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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Y Combinator

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39,306 Aufrufe • vor 2 Jahren •via X (Twitter)

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Profilbild von Brian Sowards (he/they)
Brian Sowards (he/they)vor 2 Jahren

@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

Profilbild von BuildBetter
BuildBettervor 2 Jahren

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

Profilbild von Amir Prodensky
Amir Prodenskyvor 2 Jahren

@koomen @StradaHQ

Profilbild von Tony Zanders
Tony Zandersvor 2 Jahren

@garrytan @koomen @jboursiquot

Profilbild von Shreya Gupta
Shreya Guptavor 2 Jahren

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 🤩

Profilbild von Gabriel Cezar
Gabriel Cezarvor 2 Jahren

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

Profilbild von andy moore
andy moorevor 2 Jahren

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

Profilbild von Strada (YC S23)
Strada (YC S23)vor 2 Jahren

@koomen somebody say enterprise glue? 👋

Profilbild von Johnnie Walker
Johnnie Walkervor 2 Jahren

@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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