Claude's C Compiler shows AI elevates the role of human judgment and vision; it's a milestone, but closely mirrors LLVM/GCC, and hard codes things to pass tests
Compilers occupy a special place in computer science. They're a canonical course in computer science education. Building one is a rite of passage.
Modular Blog Chris Lattner
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Discussion
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@lukashozda
Lukáš Hozda
on x
It can't compile a Hello World and it still calls out to GCC
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@pushpendre89
Pushpendre Rastogi
on x
Great post from @clattner_llvm on Anthropic's C Compiler. Chris's work on LLVM obviously needs no introduction. it's mentioned in all three of the compiler books that I own :) Also happy to see him citing some of the work that we open-sourced at @vizopsdotai . Btw, we'll soon be
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@clattner_llvm
Chris Lattner
on x
I wrote about what I uncovered while unpacking the tech, and what I think it all means: https://www.modular.com/... ps, thanks to many humans for their feedback, judgement and improvements!
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@machinamentum
Josh Huelsman
on x
Very well written article on the Anthropic C compiler.
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@perrymetzger
Perry E. Metzger
on x
For those that don't know, Chris Lattner is one of the most important compiler engineers in the world. He is responsible for the existence of LLVM. So his opinion on this is pretty informed.
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@clattner_llvm
Chris Lattner
on x
I dug deep to see how it works, and how it was built - it's neither production quality, nor a trivial toy. It says a lot about how we as SW engineers should think about AI coding - how to get the benefit of new tech without losing the value of human innovation and judgement.
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@preshing
Jeff Preshing
on x
“AI systems amplify well-structured knowledge while punishing undocumented systems.” 🎯 This sums up well how software development is changing, I think. Well-organized projects with clear documentation and legible code will have a big advantage. It isn't obvious how granular the
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@pdrmnvd
Pedram.Md
on x
a great well balanced read and very insightful on where we with ai coding today. > Current AI coding systems excel when success criteria are clear and verifiable: compile the program, pass the tests, improve performance. In these environments, iterative refinement works
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@koenbok
Koen Bok
on x
“Modern LLMs are extraordinarily powerful distribution followers. They learn patterns across vast bodies of existing work and generate solutions near the center of that collective experience.” https://www.modular.com/...
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@jaykreps
Jay Kreps
on x
The creator of LLVM reviews the Claude C Compiler.
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@marksaroufim
Mark Saroufim
on x
The tweet thread buried the best part AI coding is therefore best understood as another step forward in automation. It dramatically lowers the cost of implementation, translation, and refinement. As those costs fall, the scarce resource shifts upward: deciding what systems
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@tetsuo_cpp
@tetsuo_cpp
on x
A thoughtful take from the compiler GOAT on Anthropic's recent C compiler experiment. “As implementation grows increasingly automated, the core skill of software engineering shifts away from writing code line-by-line and toward shaping systems. Engineers can focus on deciding
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@arter97
Juhyung Park
on x
'gah, another “here me out”, self-proclaimed AI frontier, I'll probably read this later' then I realized this is *the* Chris Lattner. Go have a read.
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@clattner_llvm
Chris Lattner
on x
The Claude C Compiler is the first AI-generated compiler that builds complex C code, built by @AnthropicAI. Reactions ranged from dismissal as “AI nonsense” to “SW is over”: both takes miss the point. As a compiler🐉 expert and experienced SW leader, I see a lot to learn: 👇 [image…
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@tmikov
Tzvetan Mikov
on x
I personally would listen to what Chris Lattner has to say. I suspect he may know a little about compilers. Not as much as the armchair experts on X, but a little, you know...
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@joel_bkr
Joel Becker
on x
what a fantastic piece. rich, qualitative detail on carlini's C compiler demo. citing wicked headline graph from @Pushpendre89 showing a timeline of claude's work on the demo.
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@watthedoodle
@watthedoodle
on x
it was a pointless exercise in an LLM regurgitation of existing training dataset, one of LLMs strengths is translation and it couldn't even do that well, if this the state of art LLMs are cooked. If you're impressed then you're a fool.
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r/Compilers
r
on reddit
The Claude C Compiler: What It Reveals About the Future of Software - Chris Lattner
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@johnspurlock.com
John Spurlock
on bluesky
'This last issue is the big problem that indicates CCC won't be able to generalize well beyond its test-suite, which appears to be confirmed by its bug tracker.' - Chris Lattner — www.modular.com/blog/the-cla...