631–640 of 661 posts
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Yea he only runs one of the biggest technology companies in the world.
1 ex-PHP-dev CEO != 100,000+ SWEs who actually build technology of FB/Meta/IG/Whasapp
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I am not sure that it has to be so zero sum. The AI truth is probably somewhere in the middle; it probably doesn't replace software engineers and it probably won't be deleted as completely useless. My current feeling is that it's a powerful tool I'm happy to pay to use; it doesn't replace me, but it makes it easier to do higher quality work. It feels a lot like IntelliSense, or faster compilers, or getting a 32" moni…
LLMs are genuinely useful tools if used as such and not some magic people replacer. I do wonder if their provided utility will still justify the cost once the bubble pops and frontier models aren't subsidized money furnaces, though.
I think we can learn from history about where this is headed. I remember when each developer needed a $600 compiler to write C++. Eventually that industry was replaced by free compilers. Kind of a similar thing going on with frontier models; I really like Fable 5, but if I didn't have any money I'd use GLM 5.2 or something. Since my employer does have money to spend on it, I enjoy the productivity boost (just like Intel's C++ compiler produced faster code than gcc for a while), but you can see the direction things are going. Eventually the moat around Anthropic and OpenAI collapses, and AI coding assistance is something built into every text editor.
There is still probably a lot of upside on betting that some lab produces a model that is light years ahead of what we have today. But I feel less "I'd better start planning for a new career" than I did a year ago.
The last two years have been perfect for accumulating tech debt. 2023 you would have probably implemented your Agents with LangChain and RAG 2025 you'd use MCP and OpenAI/Anthropic Agent SDK. 2027 you will use a workspace frameworks (Amazon, Microsoft) sensor libraries and world models. Agents are a fantastic generational technologies, but in mid-2026 the environment they are operating in is quickly changing. The onl…
>2027 you will use a workspace frameworks (Amazon, Microsoft) sensor libraries and world models. The only people who'll be using Microsoft for anything AI are those whose employer forces them, like with Teams. All their AI offerings are overwhelmingly inferior for anything code related.
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The thing is: I could produce 2-3 times as much code as before _without_ an LLM, if I didn't care about my colleagues' ability to review my output properly. Lines of code are a liability, not an asset. You want as few of them as you can get away with, without compromising the actual asset: the functionality. A huge part of the job of Software Engineering is producing the right amount of code at the right time.
> Lines of code are a liability, not an asset. I have been saying this for years, I once had a heated argument about a small system of maybe 1000 lines of code that was technically superior and more scalable but was freaking 1000 lines of code to maintain compared to the quick and dirty 10 lines of code it was suppose to abstract and make generic (for future use of course). That with also countless debates over insig…
wrong framing imo
EXCESS lines of code are a liability.
Code of course is an asset.. what other real asset is producing cash-flows? lol come on.
> he expects that the social media giant will begin to experience more significant benefits from its AI investments within the next three to six months. He is hallucinating just like AI, and unable to come to terms with the facts on the ground. Meta has lost plot about 5 years back - with metaverse, VR, glasses and AI. They should sit back and think with a calm head, about what exactly their core product is. Unfortun…
> ...about what exactly their core product is. It's ads. They have an infinite money glitch called ads, allowing them to waste billions chasing other pipe dreams. The fact that so many of those pipe dreams turned into nothing doesn't hurt them one bit.
I was worried this time last year that by this time this year, companies would have slashed their engineering teams down to a handful and everything would be driven by mostly autonomous agents with human guidance. But it just hasn't happened. Do I write all my code with an agent now? Yes. Can you just give an agent a desired outcome and let it work, unsupervised? Absolutely not. I can produce more code than I used to…
The thing is: I could produce 2-3 times as much code as before _without_ an LLM, if I didn't care about my colleagues' ability to review my output properly. Lines of code are a liability, not an asset. You want as few of them as you can get away with, without compromising the actual asset: the functionality. A huge part of the job of Software Engineering is producing the right amount of code at the right time.
But the whole job of the owners is to lower the costs as much as possible to produce the product, especially in an environment with higher costs to borrow (higher interest rates at the fed)
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also: face tagging in photos, the fb app platform and the like button pioneered concepts that we take for granted today. also, how product is done internally, growth metrics, all borne from facebook. The like button is an ingenious and insidious invention. It compelled every other external web property to willingly load fb sdk. It’s mind blowing how effective it is. I am morally against Facebook, but anyone that says…
We take for granted a lot of things, doesn't mean they meaningfully contribute to our lives, why is face tagging or thumbs up so special? I believe we already had upvotes and reactions on other platforms like early forums and chat platforms. Even if it was the first one to popularize it, it didn't really come about in a vacuum, the Web 2.0 at that time was all about user engagement and interactions.
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I’m convinced the magic bullet is deterministic checks. Linters, static analyzers, etc. Whatever you can do to create deterministic gates that the LLM simply must overcome to reach a “done” state, do it. Has been making a huge difference for my team, but sister teams are so invested in writing the perfect Make No Mistakes prompt that they just can’t see it. Basically I treat it like a junior dev. We don’t get junior…
> Whatever you can do to create deterministic gates that the LLM simply must overcome to reach a “done” state, do it. First thing Gemini did when I tried that was turn off all the rules in eslint.config.mjs claiming they were "overly stylistic" Yes, it got better once I explicitly told it not to disable any rules, so I accept I was holding it wrong but I do worry just how many footguns it puts into other things becau…
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In my limited testing Fable is far better at obeying CLAUDE.MD than Opus is.
From what I can tell, the "established wisdom" is to get Fable to plan and Opus to implement (for cost purposes). The problem there is that Opus could ignore whatever it likes from Fable's plan.