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By now , there ’s hardly a coder in the world who is n’t using an AI co-pilot in some way . But using GitHub Copilot or Cursor . AI to ask technical questions and get debugging assistance could be just the beginning . AI coding may one day imply agents that can pen the programs themselves based on a lifelike language prompting . Such programs may even replace human engineers .
AI coding startup that can get code from a natural language command prompt includeReplitandBubble , among many others .
finally , some VCs believe , fellowship will take few human engineer and have each human manage AI coding agent . “ It ’s not pie in the sky . It ’s in the penny-pinching future , but it ’s not today , ” VC Corinne Riley , partner at Greylock , said onstage at TechCrunch Disrupt last week .
Coding supporter are already commonly allowed during the coding technical interview for prospective hires at many of Greylock ’s portfolio companies , she added .
However , she does n’t think that AI agent should ever be used to substitute human engineer in really young company , to save cash . At the cum stage , “ what you ’re doing is you ’re building the foundations of the company , right ? And so if you ’re making major engineering trade - offs at that stage , it ’s plausibly not the right determination . Those are decisions that you could make in the future tense , ” she enjoin .
Yet , hard cash direction is also the very reason why untried startup railroad engineer should be using AI coding aid as much and as well as they can right now , counter VC Elizabeth Yin , Colorado - founder and general collaborator of Hustle Fund , onstage .
“ One of the major challenge of the early stages , you do n’t quite cognise on the nose what problem you ’re solving and quite exactly what the ICP [ idealistic customer visibility ] is and quite exactly what they demand . So you ’re going to end up throwing out a caboodle of body of work . So the faster you could go , and the faster you could iterate , the better to learn quickly , ” Yin said .
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She believe early - stage startup should be open to any dick that lets founders quick hack together sample product to move faster , even if it would all have to be cautiously rebuilt more thoughtfully later . “ I would actually be a advocate of that if it means you’re able to learn that much faster , ” she say .
That ’s in demarcation to the days before AI , when every pilot would have to be coded by someone who had the acquisition . Today , an engineer can prompt a model , use some AI debugging , and take a peep .
In agreement is VC Renata Quintini , co - founder of former - stage Renegade Partners .
“ If it ’s about discovering product - market fit or testing out , you should use that leverage , but I would n’t care about optimizing this at the seed stage , ” she say onstage .
Interestingly , as startups institute in 2024 launch out of the gate using AI development process , we could be witness the seeds of the first succeeding AI federal agent workforce . And the first people to get AI agents as atomic number 27 - workers would be coders themselves . It ’s a thought that is adequate parts ironic and prophetical .
