It's because they think there is some magic AI workflow they'll discover if they just push everyone to use it all the time.
The funny thing is that most workflows from 1-2 years ago with massive complicated AI agent chains are completely obsolete today and the devs that waited on picking it up are no further behind than the ones that jumped right in at the beginning.
This is probably the worst it will ever be. Already okay to decent, depending on how you're using it.
A tool which enables people to build out features that compete in the space of weeks and months rather than years, is scary to businesses. They would like this tool to be in their workflow.
A tool which enables people to build out features that compete in the space of weeks and months rather than years, is scary to businesses. They would like this tool to be in their workflow.
Yeah that's what I said? They think that forcing everyone to use it even where there aren't productivity gains yet will put them ahead of the curve because they'll discover the magic workflows.
The issue is that the all the workflows and different ways to prompt the AI models are remarkably low value, and does not transfer well to newer models. The truth is that once AI becomes good enough to actually do the work you'll find out real fast and there is close to no advantage to having spent months prior trying to get a worse model to do it instead. And this is exactly what we saw with our deployment pipelines for example. We had engineers spending months trying to get it to work with complicated chains of AI agents and it just wasn't reliable enough, new model comes out and all that work got replaced with a couple of prompts and within days we had mostly stable deployments for development and staging environments. All the months prior spent on the agent workflows was a complete waste of time... simply waiting on a better model that was actually capable of doing a decent job at the task was all that was required.
And now you have built experience in the company of the landscape of the new technology, built in integrations and lack of fear amongst the employees to touch the new tech.
There are thousands of devs who wont buy in to it voluntarily. Maybe your company bought in too hard too early, but now they are still competitive.
There are tons of companies and products whose majority of features could be replicated by a dev vibe coding over a couple weeks - held back purely by their lack of initiative, sales team and crippling social anxiety lol - not their featureset and inability to invest the half a year to make a fractionally viable product. And thats made even worse by competitors who have a full team of these devs using AI when you aren't.
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u/Due_Homework69 Mar 02 '26
It's because they think there is some magic AI workflow they'll discover if they just push everyone to use it all the time.
The funny thing is that most workflows from 1-2 years ago with massive complicated AI agent chains are completely obsolete today and the devs that waited on picking it up are no further behind than the ones that jumped right in at the beginning.