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"Software Engineering Will Be Automatable in 12 Months," Anthropic CEO Dario Amodei predicts that AI models will be able to do 'most, maybe all' of what software engineers do end-to-end within 6 to 12 months, shifting engineers to editors.

4,485,871 Aufrufe • vor 8 Monaten •via X (Twitter)

36 Kommentare

Profilbild von Nigel Eccles
Nigel Ecclesvor 8 Monaten

Didn’t he say the same thing 12 months ago?

Profilbild von Joe Natoli
Joe Natolivor 8 Monaten

Absolute bullshit. Spend an hour with enterprise software tied to three different legacy systems and get back to me.

Profilbild von Yash Sharma
Yash Sharmavor 8 Monaten

Plan B

Profilbild von ethereumdegen.eth 🕶️ᵍᵐ
ethereumdegen.eth 🕶️ᵍᵐvor 8 Monaten

its not going to be any different in 12 mo . The core ai wont be . the harnesses will improve and the plugins

Profilbild von -‘
-‘vor 8 Monaten

He said same thing 12 months ago 🤣

Profilbild von Sawhill Busre
Sawhill Busrevor 7 Monaten

the bubble burst is going to be incredible

Profilbild von Wes Roth
Wes Rothvor 7 Monaten

pop

Profilbild von MJY
MJYvor 8 Monaten

Snake oil salesman says what

Profilbild von ilqdty
ilqdtyvor 8 Monaten

Everyone's focused on "12 months." Nobody's asking: what happens to the 10 million solo devs building weekend projects RIGHT NOW? AI won't replace engineers. It'll create 100x more builder-operators who ship without writing a single line. The question isn't "will my job disappear?" It's "am I building my own leverage before everyone else does?"

Profilbild von Dr Milan Milanović
Dr Milan Milanovićvor 8 Monaten

Shifting developers to (product) engineers

Profilbild von GM2US ☀️
GM2US ☀️vor 7 Monaten

Keyboards (2026 edition)

Profilbild von Ted Darling
Ted Darlingvor 8 Monaten

AI has helped with coding, no doubt. But it seems like we heard this stuff a year ago, yet us developers are still here developing and Claude Code, in all of its glory still have problems with complex or enterprise tasks.

Profilbild von Udit Goenka
Udit Goenkavor 8 Monaten

He says this every 3-6 months. We are far from it.

Profilbild von Yacine Mahdid
Yacine Mahdidvor 7 Monaten

a new role will take its place : software engineering engineering

Profilbild von Wes Roth
Wes Rothvor 8 Monaten

here's the breakdown of that clip plus the rest of the Davos video:

Profilbild von William M Briggs - Statistician to the Stars!
William M Briggs - Statistician to the Stars!vor 7 Monaten

My Prediction: I don't buy it. He is wrong. Software engineers will always be needed. AI is just a model, and that's all it will ever be. No model makes perfect predictions, thus AI will not be able to produce all code.

Profilbild von Steve Barbour
Steve Barbourvor 8 Monaten

Learn to coal.

Profilbild von Victor
Victorvor 8 Monaten

the job description becomes "senior prompt reviewer with git access"

Profilbild von α Sagittarius ✨
α Sagittarius ✨vor 8 Monaten

Engineers to Editors? Hopefully more Emacs style with clever LISP macros than Regedit ones.

Profilbild von mukesh keshan
mukesh keshanvor 8 Monaten

He has not written a single line of code and he has no idea what he is talking about.

Profilbild von Mo Crypto
Mo Cryptovor 8 Monaten

These guys are on drugs - Claude couldn’t even fix a fire base CORS issue, kept spewing out garbage

Profilbild von IA_DATOS
IA_DATOSvor 8 Monaten

This video is old, from a year ago, and it didn't happen; there's just a lot of hype.

Profilbild von Mustafa Ergisi
Mustafa Ergisivor 8 Monaten

Interesting. Debugging prompts will be the new bottleneck then .

Profilbild von yv
yvvor 8 Monaten

writing code -> editing code, yes but still need human there, so headline is misleading

Profilbild von Anth
Anthvor 8 Monaten

They said that 12month ago. So far the only thing ai has successfully automated is CEO’s

Profilbild von geoff
geoffvor 7 Monaten

i prefer this edition

Profilbild von Ruturaj
Ruturajvor 8 Monaten

I think they found the planate where 10 sec is equal to 10 years

Profilbild von Kilo (acq. by Anaconda)
Kilo (acq. by Anaconda)vor 8 Monaten

Even faster if you're using Anthropic models in Kilo :)

Profilbild von Steadtler
Steadtlervor 8 Monaten

Its the new compiler. You'll still need engineers to use them because you need people who understand what they do and what they produce to use them

Profilbild von Lingo.dev
Lingo.devvor 8 Monaten

Next year they will be saying the same thing 😂

Profilbild von gerry🗯
gerry🗯vor 7 Monaten

What he said back in March, because everybody is misquoting him:

Profilbild von Wes Roth
Wes Rothvor 7 Monaten

this is very helpful! and I agree with you, I think he's more spot on than people realize

Profilbild von gerry🗯
gerry🗯vor 7 Monaten

I’ve been coding for 16 years. Eight months ago I doubted him; now ~98–99% of my code is written by Claude Code or Codex, and I have higher output and ambition than ever. I barely type code anymore. At a global level it wouldn’t surprise me if most code output already comes from LLMs. I won’t make the mistake of doubting him again.

Profilbild von New Brains
New Brainsvor 8 Monaten

Of course, that's nonsense! Writing code and even the overall design of software is merely the final stage of a fieldwork process that engineers must undertake by observing processes and engaging with users. They use context as information and experience to anticipate scenarios. AI confined to a data center lacks the capacity to do that fieldwork. It will simply be a better employee for coding and avoiding tedious tasks.

Profilbild von Q Spirovski
Q Spirovskivor 7 Monaten

14th of March 2025... It's wonderful how these people get to declare whatever garbage they want, capture the media cycle and then shamelessly do the same next year without any consequence.

Profilbild von Sameen Shah
Sameen Shahvor 8 Monaten

software engineering is much more than writing code. system design, tradeoffs, ownership, etc are all involved. an AI will amplify competence but it does not replace it. for example if you have a manager with no software engineering experience use AI to try and build a production grade distributed system, you’re cooked. the system will fail because as the manager passes garbage into the AI, he’ll get garbage out (and he probably won’t even know it). the tool is only as good as the person using it

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