Software solutions for the Industrial Automation and Manufacturing industries.
FromDeVoid
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If no one sees a problem with this, I don't know what is.
If we can't formulate a body of transferable knowledge, principles and practices, we cannot expect agentic development to exist beyond low-risk software products. Mid and high-end software engineering cannot rely on vibes
If so, why is no one sharing this new skillset?
Are we really arguing that agentic development cannot be formalized into a body of knowledge, with principles, techniques and practices that can be taught?
If these skills are real, they should be describable. What are they?
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I'm convinced anyone using the word "literally" these days has no idea what they are talking about, and just imagine the word offers their narrative some level of authority, no matter how batshit crazy is whatever they are saying.
That and consuming too much GenZ content.
Can we please stop discussing writing the code, like it's something meaningful? Literally nobody cares about typing by hand.
What people care about is reading the code and understanding what's happening under the hood.
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I think you can still absolutely develop your software projects at the margin of the "AI revolution". You do not need AI.
But I don't know how long this will hold true. My biggest concern is the loss of training materials availability over time. This is my biggest fear.
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At some point we need to start pushing back on this format. These aren't interviews! It's platforming.
There is no follow-up questioning, no pushback, no digging deeper into extraordinary statements. Fortunately, all these channels are easily identifiable and blocked.
Nvidia CEO Jensen Huang questions whether some of the learning fundamentals are still relevant
“Basic math is being forgotten. Does it matter? I don't think it does.”
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It could be that the reason we aren't seeing any meaningful and impactful end products coming out of the AI revolution, has to do with the fact its practitioners have little imagination and are incapable of coming out with interesting products.
But clearly there's more to it!
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This is what happens when real programmers bang other programmers' wives. Stop doing that!
And someone tell this cuckold real programmers are a large group of professionals creating wondrous things. Among them, get ready for it, the LLM tech that is revolutionizing the industry.
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I've rewatched 12 Monkeys today. And oh boy, there's nothing like it! Astor Piazzolla's Punta del Este and Tom Waits' Earth Died Screaming are just the right tone for an unforgettable SciFi movie.
It deserves every bit and more of its cult status. And all three leads kill it.
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Not understanding that software engineering IS A computational state problem, and NOT A text generation problem, is what is leading us fast down this rabbit hole.
Grady is absolutely right! But people are not listening, bc of the easy path that AI fully generated code provides.
In my career, compilers have always generated better code that I ever could have. I find this to be increasingly so with contemporary AIs.
But you know what neither can do better than me?
Knowing what software to write, what shape it should take, and what I want it to do.
The entire history of software engineering has been one of rising levels of abstraction.
This is how it was, how it is now, and how it shall be in the fullness of time.
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12 seconds into his new video and I learn this was the guy that built Windows Task Manager.
@davepl1968, when where you planning to tell us?
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I find this odd. Most of my jobs in the tech business sector where NOT that mentality. Those decisions were made at the project management level. Whatever roadmap trickled down to the dev teams was then properly planned out and had to follow the requirements.
It does seem like pushing back against management as software devs in the age of AI is a lost art.
I have never had a job or a project that wasn't in the shape of "what corners can we cut so we can ship this last week? Is that a prototype, welcome to production..."
It was my job to push back and set pace and I don't see how that is not the case still today
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I'm trying to understand the current state and opinions about sponsorship-based business models and strategic licensing for new open source projects, in this reality of AI-driven scraping, forking, and rewriting.
I would appreciate any references or guidance exploring this topic
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