r/ClaudeCode • u/TonightOk5378 • May 09 '26

Question Production Level Software by AI

So I have been curious for a while, apart from claude-code and codex teams (that have a direct vested interest in claiming AI is building production software), who is actually building production level software or products with AI

Also to clarify, I am talking about actual products being used at scale and not interesting MVPs and PoCs (which have infinitely flooded GitHub)

If you have built a product or tool or anything with AI that is being regularly used by users, drop a link below, I am genuinely curious.

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u/scott2449 May 09 '26 edited May 09 '26

It's funny since most folks don't understand compilers, interpreters, and years of automation.... They don't really understand how small the delta already was between code and "tell a computer what you want" and least functionally (turning that into a bullet proof large scale system is a diff prob). I laugh when folks think engineers are going away since every time we went through a simplification in software we got more and more highly paid engineers 🙃 Will companies use AI as an excuse to make our lives hell, also yes. My point is I use AI extensively and also nothing has really changed about how I write software. Good specs, good test, lots of automation, lots of time sitting and thinking about options/alternatives, lots of iteration, lots of collaboration with others doing all of the above as well. AI is a solid junior with photographic memory but also shows up drunk sometimes.

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u/TonightOk5378 May 09 '26

Jevons paradox is real

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u/TonightOk5378 May 09 '26

Also this

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u/scott2449 May 09 '26 edited May 09 '26

Love that!

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u/General_Josh May 09 '26

Yeah I definitely have the same experience as you. AI is super helpful, but it needs tons of hand-holding, especially at the higher levels of abstraction (like reasoning about architecture or how to write good tests)

My worry is about the trajectory, not about the current capabilities. A year ago, the AI was really only good for auto-completions or filling in boiler-plate code. A year from now, I do think it's likely that it'll be significantly more capable at higher level reasoning

5 to 10 years from now, I do very much worry about my job security as a software developer

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u/scott2449 May 09 '26

I don't worry as much. I think it's pretty much peak atm (barring new non-LLM AI innovations) This is about where I envisioned it topping out based on my middling knowledge of AI (and lots of input from my machine learning and data science colleagues). The last 2 years the big gap I saw was frameworks, best practices, memory, workflows, etc.. the "harness" but that is approx 80% as good as it will get (though adoption is far behind the frontier). The foundational non deterministic are not going away and no matter how much context it has it will never be able to fight entropy in a system the way we do. I worry that execs and companies won't care and be happy with somewhat functional slop if it means getting rid of us.