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I realize there's a lot of AI-skepticism on Mastodon, but I think it's important to track how AI is being used more widely. So I spoke to GitLab's head of Field CTOs Brian Wald about how enterprises are implementing AI technology. Among other things, we discussed whether IT departments allow #VibeCoding, what types of AI #agents enterprises are building, how the #developer role is shifting to an architect-type role, and GitLab's own AI strategy. thenewstack.io/the-field-cto-v…

The Field CTO View: AI, Vibe Coding, and Developer Skillsets - The New Stack

How is AI actually being implemented in enterprise IT departments? And how are developers adapting? We ask GitLab's head of Field CTOs.
Richard MacManus (The New Stack)
#developer #vibecoding #agents
in reply to Richard MacManus

Richard MacManus
mastodon - Link to source
Richard MacManus
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One trend I thought was notable from the discussion: developers are now acting more like architects, says Brian Wald from GitLab. In the AI era, devs are spending more time on upfront design, defining business logic, and creating high-context environments to guide AI-generated code. “So you become kind of the orchestrators of the code, versus the writers of the code,” he told me.
in reply to Richard MacManus

Eugen Rochko
mastodon - Link to source
Eugen Rochko
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I’m baffled, this sounds like what software engineering always has been.
in reply to Eugen Rochko

Richard MacManus
mastodon - Link to source
Richard MacManus
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@Gargron I think he was saying that, in enterprises at least, often it was the product manager that defined the business logic, and once that was done it would be passed to the developers to implement. And from my time (long ago, admittedly) working in IT departments, that was mostly how it worked. But now that AI can generate code, developers are being tasked more with business logic and architecture. YMMV I suppose, but that’s a trend a senior Field CTO is observing.
@Eugen Rochko

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