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3 quotes from 1 episode on Latent Space, each with a timestamped link to the source.
Kyle Daigle states that future AI coding tools will act as ambient systems aware of every project detail. These models will use emails, specification documents, and online conversations to guide decisions while programmers build new features.
Current AI coding sequences rely on a basic process of capturing information, codifying data, and retrieving facts.
“…capture and then they are trying to codify and then recall…”
From GitHub's AI COO: Copilot isn't code, it's ambient judgment
Future AI systems will read emails, online chats, and specification documents to inform development decisions. Kyle Daigle discusses using this complete context to shape features like new web hooks.
“I'm looking to be building out the next version of web hooks or like implementing a new feature and it for it to know every spec doc, every email, the conversations that I've had online, everything about how this could be implemented and be able to like use that as part of its decision-m.”
From GitHub CEO Kyle Daigle: Ambient AI Will Know Your Every Spec Doc
Existing named assistants and pinned tools fail to meet practical development standards. Kyle Daigle identifies ambient AI as the most interesting system for continuous project awareness.
“I think the most interesting thing to me in AI is actual ambient AI, not insert, you know, assistant name thing or like I've tried just about every pin in tool and whatever and they don't work the way that I'm looking for them to work…”
From GitHub CEO Kyle Daigle: Ambient AI Will Know Your Every Spec Doc
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