Ah, I see AI is now doing the crypto thing of a few years ago on incredulous claims

PayPal steam ahead into centralized digital currencies I see..

For those that use #unity, and have decided to stop. If they back pedal on the ToS, you should not continue using it. #unity has shown their hand on what is important to them as well as their intent. They will do this again, just slower to reduce backlash. Consider this a test.

Dave

Going to be fun to witness the speed at which we needlessly delegate human tasks to agentic networks quickly outpace the infrastructure that we failed to build's ability to support it.

Unfortunately this is a classic Riot move - launch a new property and if it isn’t instantly profitable gut it. You have Dylan Jadeja to thank for this, the kind of CEO who only cares about the bottom line and making investors happy. Damn shame but saw this coming

In the past did you trust the two newly hired software engineers to merge their work to production without review because the tests they wrote for it worked? No? Interesting...

Jumped back on X curious of what the current tech meta was since I've been off socials for awhile and hot damn is it spicy.

At its core AI is perfect for the state of society that cares only of quarterly value and has no concern for what crests the horizon. This stands true for not only the technical implications that await but also ecological, societal, etc..

If you do not leverage AI output correctly, YOU move faster. Your TEAM does not. It is critical to guard rail LLM output with a stringent review process and tune context windows for tasks. If not, you are merely moving work elsewhere, not REmoving it.

Truer words could not be written. When you don't understand the code base you will generally not generate or feed the correct context, and you kick the can on deciphering output to the maintainer because you don't know the context either...

As an engineer ask yourself: "Am I an LLM proxy?". If yes, re-evaluate how you use tooling: Do you push back? Accept the 1st solution? Critique output? Use AI powered reviews? Use different contexts/models for review? How do you apply your knowledge? Don't be a proxy.

Can't help but agree, but it won't matter when the cost of those decisions won't matter until after you've saved money axing experienced software engineers.