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We went through this exact decision point 18 months ago. But we chose to keep the team. Redirected them. Our threat detection pipeline, which would've taken 8 m
by Areena_28 7mo ago
We went through this exact decision point 18 months ago. But we chose to keep the team. Redirected them. Our threat detection pipeline, which would've taken 8 months to build - surprisingly and luckily shipped in 11 weeks. That's not a productivity stat, that's a product moat.
The companies gutting engineering right now are going to realise too late that AI amplifies what you already have. If you fire the people with institutional knowledge and domain expertise, you're left with an AI that generates confident, well-formatted mediocrity. Agree or not?
- theshrike79 7mo agoI've been trying to figure out a formula how to describe the gains AI use gives. It's not a direct multiplier, because even non-programmers can get stuff done with it just from an idea. And it's not exactly an exponent either, even though experienced programmers can get absolutely massive gains when they learn to worth with it. "Replace tools, not jobs" is the best AI slogan I've found yet. Use the VC funded practically free massive language models to quickly write every single small utility, tool, connector and dashboard you've ever wanted. You know, the ones you've always wanted to do, but could never justify the time spent on them compared to the utility. Specifically in corporate environments. Stuff that used to require a project manager, programmer and a QA person dedicated to some tiny app for a week or two can now be done in two days by a single person with zero coding experience and an idea to a degree where you can be evaluate whether it's worth continuing or not.
- Areena_28 7mo ago[dead]
- AbanoubRodolf 7mo ago[flagged]