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KurSix
searching PlanetScale…
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9 ms
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181.
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KurSix
10mo ago
Exactly. That last 20% is engineering. Handling edge cases, integrating with quirky APIs, optimizing for performance under load. An LLM excels when all conditions are perfect, but the real world is a mess of imperfections
182.
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KurSix
10mo ago
Classic. We sped up one stage of the assembly line and are now wondering why more finished cars aren't coming off the end. Development isn't just coding; it's also review, QA, deployment, maintenance, and gathering requiremen
183.
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KurSix
10mo ago
I don't think the core argument is a vendetta against whimsy
184.
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KurSix
10mo ago
The article's complaint (as I read it) is more about incidental load: names that force you to context-switch just to figure out what category of thing you're dealing with
185.
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KurSix
10mo ago
It's more that they weren't random. There was a convention, a lineage, or a rule behind them. Modern projects often skip that step entirely and jump straight to branding, even when the thing is just plumbing
186.
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KurSix
10mo ago
So maybe the takeaway isn't "we lost the plot" vs "we never had it," but that there's always been a tension
187.
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KurSix
10mo ago
Descriptive naming absolutely helps at first contact, especially when you’re scanning a dependency list or onboarding someone new. No argument there. But in practice, names stop carrying meaning pretty quickly anyway
188.
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KurSix
10mo ago
Even if they're not doing full-from-scratch training every cycle, any serious model updates still soak up GPU hours
189.
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KurSix
10mo ago
The wild part is that it sounds sci-fi, but the reality is probably way less glamorous
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KurSix
10mo ago
Meanwhile, Nvidia is in the awkward position of being legally required to deny everything but economically incentivized to sell as much as Washington allows
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KurSix
11mo ago
This is arguably the only use case where a chat interface (or just text) actually works, because it's an information compression task. But building a $50 billion business strategy just on the fact that AI can recap a meeting is risky.
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KurSix
11mo ago
Traditional Microsoft devs are used to deterministic tests: assert result == expected, whereas AI requires probabilistic evals and quality monitoring in prod. I think Microsoft simply lacks the LLM Ops culture right now to build a quality e
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KurSix
11mo ago
The chatbot doesn't see the document structure; it sees tokens. When it generates a response, it's not editing; it's rewriting from scratch. Without a mechanism capable of precise diff/patch operations (like Cursor attem
194.
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KurSix
11mo ago
Compare this with Cursor or Supermaven. There AI acts as an extension of the cursor, understanding the code's AST. VS Copilot often feels like smart copy-paste that doesn't understand where it is Microsoft, owning VS Code and LSP,
195.
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KurSix
11mo ago
Microsoft's problem isn't bad AI, but a fundamentally wrong UX pattern. They're trying to shoehorn Copilot into linear workflows - Word, Excel, Outlook - but chat is a terrible interface for editing documents or analyzing tab
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KurSix
11mo ago
For me the useful bit of servant leadership isn’t the religious origin, it’s the reversal of default: you’re not “above” your reports, you’re in service to them and the mission
197.
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KurSix
11mo ago
Yeah, show the storm, explain it, let people participate in navigating it. But if I walk away from a meeting understanding the situation less and sleeping worse, something went wrong
198.
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KurSix
11mo ago
People don't need to be protected from reality, they need to be protected from chaos. Those are not the same thing.
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KurSix
11mo ago
If everything gets labeled as empowerment, that's not transparent leadership, that's abdication
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KurSix
11mo ago
I agree with the aspiration, but I think the limiting factor is less the leadership philosophy and more the org's appetite for managers who don’t hoard control and headcount
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KurSix
11mo ago
The irony is that people give the most honest and unfiltered feedback when no one is asking them. When a bot approaches a user (even a research one), the observer effect kicks in, and answers often become more polite or socially desirable.
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KurSix
11mo ago
If you have human review for every action, then this isn't scalable software, it's consulting. Either you'll eventually remove this step for scale (and get banned by platforms), or your product will have to be very expensive
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KurSix
11mo ago
The idea of validation on real data is great. But why post questions directly? It's risky and intrusive. It would be much safer and more powerful to simply passively observe. Have agents scan the thousands of existing threads where peo
204.
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KurSix
11mo ago
The chess analogy is fundamentally flawed. In chess you don't have to maintain your moves - you make a move, and it's done. In engineering code isn't the end of the game, it's the start of a liability. Code is read 10x m
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KurSix
11mo ago
This is a perfect real-world illustration of Brandolini's law: the amount of energy needed to refute bullshit is an order of magnitude bigger than to produce it. The guy spent 5 minutes prompting, while Oсaml maintainers spent hours of
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KurSix
11mo ago
The problem with "screen-free" isn't the chassis design, it's information bandwidth. Eyes intake information orders of magnitude faster than ears. Reading a list of 5 restaurants takes 3 seconds, whereas listening to it
207.
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KurSix
11mo ago
Fair point but there's a nuance: by open-sourcing the code the author is democratizing that exact infrastructure for adaptation Now hundreds of other developers have the same "fast" tool and everyone has to run (adapt) even f
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KurSix
11mo ago
Google Glass at least gave devs something to play with out of the gate
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KurSix
11mo ago
The hardware can look amazing, but if the software doesn't offer something meaningfully better than pulling out your phone, it ends up as an expensive novelty
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KurSix
11mo ago
It's similar to how people felt when Google Glass first showed up. Until there's some universally understood signal like a visible recording light (that can't be turned off), I think that unease is going to stick around
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