81–90 of 469 posts
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I think you’re a bit behind on your world view. Just because it’s inconvenient to you that non coders can now code, doesn’t make it untrue.
No, they can’t. It has nothing to do with inconvenience. I really like that layman now make these statements - they know better than people working in the industry for decades.
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AI assisted code can't even stick to the API documentation, especially if the data structures are not consistent and have evolved over time. You would see Claude literally pulling function after function from thin air, desperately trying to fulfill your complicated business logic and even when it's complete, it doesn't look neat at all. Yes, it will have test coverage, but one more feature request will probably break…
So just iterate on it? Your complaint is that the model isn't one shotting the problem and reading your mind about style. It's like any coding workflow, make it work, then make it nice.
Try iterating over well known APIs where the response payloads are already gigantic JSONs, there are multiple ways to get certain data and they are all inconsistent and Claude spits out function after function, laying waste to your codebase. I found no amount of style guideline documents to resolve this issue.
I'd rather read the documentation myself and write the code by hand rather than reviewing for the umpteenth time when Claude splits these new functions between e.g. __init__.py and main.py and god knows where, mixing business logic with plumbing and transport layers as an art form. God it was atrocious during the first few months of FastMCP.
Having an AI is like having a dedicated assistant or junior programmer that sometimes has senior-level insights. I use it to do tedious tasks where I don't care about the code - like today I used it to generate a static web page that let me experiment with the spring-ai chat bot code I was writing - basic. But yesterday it was able to track down the cause of a very obscure bug having to do with a pom.xml loading two…
Wire up authentication system with sso. done Setup websockets, stream audio from mic, transcribe with elvenlabs. done.
Shit that would take me hours takes literally 5 mins.
I can think of one successfully, off hand, although you could probably convince me there was more than one.
the principle phrase being "as we know it", since that implies a large scale change to how it works but it continues afterwards, altered.
This is a very one-sided article, unashamedly so. Where's the references to the decline in quality and embarrassing outages for Amazon, Microsoft, etc?
Do we know that it decreased the quality, or introduced more opportunities for bugs by simply increasing the velocity? If every commit has a fixed probability of having a bug, you'll run into more bugs in a week by going faster.
That's an easy question to answer - you can look at outages per feature released.
You may be instead looking at outages per loc written.
how many times in the history of computer programming has there been an end to computer programming as we know it, successfully, and how many times predicted? I can think of one successfully, off hand, although you could probably convince me there was more than one. the principle phrase being "as we know it", since that implies a large scale change to how it works but it continues afterwards, altered.
1. COBOL (we actually did still use it back in the 80s)
2.AI back in the 80s (Dr. Dobbs was all concerned about it ...)
3. RAD
4. No-Code
5. Off-shoring
6. Web 2.0
7. Web 3.0
8. possibly the ADA/provably correct push depending on your area of programming
edit: formatting
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that's just not even remotely my experience. and i am ~20k hours into my programming career. ai makes most things so much faster that it is hard to justify ever doing large classes of things yourself (as much as this hurts my aesthetic sensibilities, it simply is what it is).
Part of this depends on if you care that the AI wrote the code "your way." I've been in shops with rather exotic and specific style guides and standards which the AI would not or will not conform to.
Having an AI is like having a dedicated assistant or junior programmer that sometimes has senior-level insights. I use it to do tedious tasks where I don't care about the code - like today I used it to generate a static web page that let me experiment with the spring-ai chat bot code I was writing - basic. But yesterday it was able to track down the cause of a very obscure bug having to do with a pom.xml loading two…