xxwink

5 ms·

1.
by xxwink 13d ago
This post is in itself a one bit message
2.
by xxwink 17d ago
I agree. LLMs contributing more or less autonomously is the "new normal". Managing and orchestrating what gets shipped is the real responsibility to track here.
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by xxwink 2mo ago
I'm a father of two teenage boys. Both of them could've used "customized learning". What makes you think otherwise ?
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by xxwink 2mo ago
There's a huge potential in personalized learning/education space. A big problem in education is that everyone learns different, and teachers / schools have to go by the speed of the lowest common denominator. AI can tailor c
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by xxwink 2mo ago
Technology is not life. It might make your life easier or it might connect you to people or experiences that would be hard to achieve without it. But technology is not the end goal. You past interest have brought you here. That doesn't
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by xxwink 3mo ago
Personally yes. And I'm sure others have too. The thing is: Large enterprises cracking the agentic swarm isn't giving away their trade secrets. Also not giving away too much info myself here, because it might be flagged as promoti
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by xxwink 3mo ago
How do you handle code versioning, Deployment and Infrastructure as a non technical person ?
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by xxwink 6mo ago
The framing of "offload" might be the wrong model entirely. I don't offload coding to AI — I govern it. I work with a two-layer setup: one AI agent as architect and coordination layer, another as implementer. Every cross-file
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by xxwink 6mo ago
Your aerospace analogy is fair, and I'd push back on one thing: the problem isn't that developers don't plan — it's that most planning tools for software are too lightweight to actually constrain AI output. "Plan mo
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by xxwink 6mo ago
This matches my experience exactly. I came back to coding after 20 years away — the expertise I brought wasn't Go syntax, it was product thinking and architectural discipline from years of project management. That turned out to be
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by xxwink 6mo ago
This is a really interesting area as the cybersecurity battlefield has no rules of engagement. We could see some very creative models coming from this field.
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by xxwink 6mo ago
This matches my experience building a Go framework with AI as the primary developer. I ended up with a formal Amendment protocol — every architectural change is proposed, consequence-analysed, and approved before implementation. The doc
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by xxwink 6mo ago
Exactly this. "Architecture guidance and human taste" is the part that doesn't get automated. In my experience the AI is very good at implementation once the constraints are clear — but the constraints have to come from so
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by xxwink 6mo ago
"if a request is not grounded in verified data, the agent must not improvise." - This is an instruction sales people across the globe also could benefit from. And the LLM is trained on content humans made. Makes sense it needs the
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by xxwink 6mo ago
Moltbook might have been a fad. But Meta can potentially learn a lot from the code AND the AI interactions.
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by xxwink 6mo ago
Concrete experience from building a Go framework with AI as the primary developer (not just a helper): the properties that make Go good for agents are exactly what you'd expect — one formatter, one build system, static typing, and a