I've been on this horse for a while now. I've settled on learning Ada/SPARK. Ada 2022 will start feeding a new SPARK 2014 update. Yes, they are both verbose, if you don't like that sort of thing, and don't like Pascal-like syntax. Believe me, I like APL/J/k/uiua/BQN and Forth and ASM. I am usually syntax agnostic as long as the PL and the ecosystem (more important than most think), meet your needs. I tried Rust back in 2018, and then again in 2023, but found it very complex and Ok, not a fan of the syntax. I would have preferred more ML or Haskell-like syntax. Zig seemed nice, but different use case, and too new. After all, Ada/SPARK have been on huge, high-assurance, high-safety applications for decades. Rust is getting some of their love, and vice versa. AdaCore had created a verified Rust compiler, but with a real world product (Blacktail hoist) in the works, we need a toolset and guarantees and ease of auditing and acceptance to achieve high safety and standards certifications. Think aerospace, defense, railway, and automotive. I started programming in 1977, so there's always a place in my heart for ASM/C. I played with F#, F*, and LOW from MS, and they are good, but they and Rust simply don't have the real world legacy of Ada/SPARK. I have been using Shen to write some formally verified models of less safety-critical areas of our software and I find it refreshing, however, my day job is to stay focused on Ada/SPARK until Rust matures more with a formally verifed proven toolset. There are certainly efforts and crates available in that direction, so hopefully others will bring it to where it needs to be. Lean is another one I have been playing with for some of the more overall logic proof of the system we are building.
I started recently to learn Cobol, since 2 companies my friend and son were working at need them desperately. They would prefer people with experience in the bankiing/finance industry, but at this point all the over 60s guys are leaving, and nobody is left to pick up the mantle. They told me even though the money is great >$225k starting, people don't want to maintain legacy Cobol code with very high risk if you mess up.
The language is actually relatively modern, it kept up with time (latest ISO version is from 2023), and there are even IDEs like Rocket Visual COBOL, granted not something that you might get on e.g. z/OS, but there are others.
It actually compiles to native code, it handles well its use case, batch processing business data, and despite everything less verbose than most agents markdown files I keep seeing.
Yes the risk is there, but it is also there for any kind of legacy application in enterprise scenarios, which is why most migrations fail.
I'll have to dive back in. I could use the decent salary right now. I've been out of work aside from my endeavors to bring this hoist to market we are working on currently. The whole formal verification thing has become an obsession of mine lately. First it was applied to just the safety-critical aspects of our system. Now, I am applying lesser, but still powerful methods and tools to make sure the whole front end and basic networking is also part of this formal verification chain. Down the rabbit hole!
Refactoring legacy code seems like something where formal methods could help. "Prove that these 2 subroutines are equivalent, across all inputs" is exactly the kind of thing that they're good at!
The first thing people need to study is the "Correct by Construction" approach to programming as espoused by Edsger Dijkstra. Only then will the mathematical concepts used in verification aware languages start making sense and one can better understand what and how to use it.
The book actually uses Dijkstra's GCL language and wp-calculus along with Carroll Morgan's Refinement Calculus to demonstrate step-wise derivation of programs from specifications using a lot of examples.
I totally agree. I have this nagging feeling that LLMs push things like this past the breaking point. Effects and contracts are _obviously_ useful to humans as well, we've just gotten by without them for a long time. But when you have intelligence on demand, context building is a huge bottleneck, and local reasoning becomes way more useful from an efficiency perspective.
I'd love to see some actual experiments with LLMs in this area. There are a fair number of languages with effect implementations at this point.
I've been looking at model checkers and program proof assistants on and off since FDR and Isabelle/HOL and the like, and there were similar tools going back another decade before that. If you're verifying part of an ASIC or a crypto protocol or something similar they're fine (if extraordinarily painful to use), but for anything else they've been bypassed by AI. I'm not saying that as an AI fan but because by the time you get your PhD and then spend another five years learning how to use the tool and mark up the code and hope you got the markup right and after another six months of what feels like trying to make a string go in a certain direction by pushing it and the tool finally finds a nonexploitable buffer overflow in a function that's never called you realise you could have done the same thing with $2 in AI tokens. It's the program verification technology of the future, and always will be, while "claude, find places where this code does things it shouldn't" is right now and doesn't require a PhD to use.
The problem I've been having is the LLM's are super dodgy, not even ten minutes ago the 'solution' to a proof failing was to disable that check in the static analysis harness so the tests pass since their first try (with a counter example and lemma from the literature in hand) didn't fix the issue.
Maybe it's an issue because it controls both sides of the fence and can change things willy-nilly when it thinks I'm just watching the youtubes but I haven't been able to find a another way to do this so, here we are...
> We claim that C achieves real-time program verification, i.e., the user can carry out verification
as they program the implementation code incrementally. It achieves this goal by orchestrating the
symbolic-execution engine and the LCF-style proof kernel together, creating a proof-supporting
runtime that runs proof-code blocks and symbolic execution of program segments in an interleaving
manner
That's why such thing is mostly useless. C is used in places where performance is important and nobody want to sacrifice performance for such proofing. Even more, if such proofing is too slow, it's better to use something like Fil-C.
Names for C successor languages are pretty well exhausted by this point, so I sympathize, but I strongly associate the name C* with a decade-old rant about C compilers’ aggressive exploitation of undefined behavior: https://www.complang.tuwien.ac.at/kps2015/proceedings/KPS_20... . (In calling it a rant I don’t mean that it’s altogether unpersuasive. Its style is just a bit spicier than I am used to seeing typeset in Computer Modern.)
I like the concept of separation logic as much as the next guy, but I don't think this is it. Just look at the examples, with loop invariants alone being longer than the whole example. It's not only a problem with ergonomics, but it leaves a lot of space for specification bugs.
And I suspect that cross section of people writing C code you want to verify with formal verification folks is not particularly big.
> And I suspect that cross section of people writing C code you want to verify with formal verification folks is not particularly big.
Perhaps not, but C is still used in a lot of critical systems. Things like this for proving properties of some core of your program can be very helpful.
And to sibling comments: I care. Non-mainstream languages are talking points. I don't want to get 15 minutes into a "you should have effects like Koka" argument and then find out the other person is talking about a different Koka.
Unlike the old C* linked at the top of this particular thread, Ada is still seeing active development in its language standard and implementations and new work. Pascal (via FreePascal and Delphi, in particular) is also still maintained and in use today.
Neither of those languages are obscure. If enough time passes that they become considered so, by all means there is no reason to condemn the names to an eternal graveyard.
As of 2024, ATS/Xanadu (ATS3) is being developed actively in ATS2, with the hope of reducing the learning needed by two main improvements:
- Adding an extra layer to ATS2 to support ML-like algebraic type-checking
- Type-based metaprogramming using algebraic types only
With these improvements, Xi hopes for ATS to become much more accessible and easier to learn. The main goal of ATS3 is to transform ATS from a language mainly used for research, into one strong enough for large-scale industrial software development.
I suspect that there is a body of C programmers out here that use C on a regular basis that aren’t posting who know that using C safely is 99% just using Valgrind and some specific GCC or llvm flags and you’re done.
They don’t reply to these threads to share that knowledge because these threads devolve into cesspools about how you should just use Rust despite the language not meeting specific requirements authors have that you have to do additional work and maintenance for in “safe” languages that you get for free in C because you don’t have to emulate it.
> I suspect that there is a body of C programmers out here that use C on a regular basis that aren’t posting who know that using C safely is 99% just using Valgrind and some specific GCC or llvm flags and you’re done.
C* (the submitted language) is not just about determining memory correctness and related program features like what Valgrind will do for you (or help with). It's about proving correctness of programs more generally, so any C programmer not looking at it because they know about Valgrind are choosing to skip something interesting for a very poor reason.
using C safely is 99% just using Valgrind and some specific GCC or llvm flags and you’re done
I wish that were the case, but it's not. Dynamic analyzers are fantastic and everyone should be using them constantly, but they don't solve the problem of UB. They tell you whether your code, as translated by a specific compiler using a specific set of flags today has detectable problems. There are still gaps, and what's true today might not be true even for the same source code built tomorrow, or given different inputs. Asserting my safety-critical code does X or Y is important to me, and neither C nor C++ have standard tooling that fully addresses that need.
Other languages are much farther along than this. You can in theory take a pile of Rust and isolate exactly the points where undefined behavior might occur, or eliminate them entirely in Ada/Spark.
> I suspect that there is a body of C programmers out here that use C on a regular basis that aren’t posting who know that using C safely is 99% just using Valgrind and some specific GCC or llvm flags and you’re done.
Absolutely right! I sincerely hope they share their knowledge here and elsewhere.
> They don’t reply to these threads to share that knowledge because these threads devolve into cesspools
HN is often rage-inducing when it comes to comments on C/C++/Fortran/Cobol/etc. older languages and systems. There are many critical and industrial-strength systems developed by the previous generation of engineers/programmers which today's noobs/cargo-cultists cannot even hope to imagine much less understand.
As an example, people talk about all the great features provided by Erlang but forget that its BEAM VM where most of the "magic" resides is actually written in C! Imagine how much expertise lies buried in its implementation!
That is called Trusted Computing Base in security speech, having ensure Erlang runtime implementation is safe, is a much reduced effort than certifying a telecommunications distributed application 100% written in C as equally safe under the same attack vectors.
Security Standards/Frameworks like "TCB" (https://en.wikipedia.org/wiki/Trusted_computing_base), "Common Criteria" (https://en.wikipedia.org/wiki/Common_Criteria) etc. are not what i am talking about here. I am pointing to the fact that there is a large piece of industrial-strength C code (i.e. BEAM/ERTS) whose architecture/complexity/techniques are manifested as the "features" of another higher-level language (i.e. Erlang). People seem to appreciate the latter while not comprehending the former. The underlying C-based infrastructure is so good that there are now multiple different-paradigm languages targeting the BEAM.
Incidentally, the C implementation of BEAM/ERTS is not formally verified; only some parts of the upper-layer intermediate representation and bytecode have been verified (academic). Also an Erlang distributed cluster was designed to operate only within an already secure network (i.e. telephone network) and not on today's public Internet. So if you want to run Erlang securely you would need to know overall system security architectures and follow advice given by the "Erlang Ecosystem Foundation Security Working Group" - https://security.erlef.org/
In my own ranking of favourite programming languages C is at the first place. C++ comes in last. I personally hate it when people write C/C++ as if it's the very same thing. I'm quite sure there's more like me out there. :)
Interestingly Perl comes in second, even I use it rarely (aka not at all) these days. But that's a slightly off-topic side note. :)
And yes, for the most part. C++ as simple shorthand for struct-attached functions and automatic memory management (no, not smart pointers; RAAI) is good. Every single thing added after that is misery and should push a modern developer to Rust, Go, or Zig (roughly in that order) where such things are implemented sanely or not at all.
And direct access to system calls. And the uncanny ability to look like it's going to do what I want and then five minutes into a run wind up in a small town in Arkansas blind drunk and crying vaguely about fluffy red squirrels taking its sandwich.
For me, C++ is always in first place. It allows me to do high-level abstractions to low-level hijinks all with total control (i.e. zero-cost abstractions, Templates for compile time programming etc.) across all levels of the software stack and the full spectrum of available hardware.
Furthermore, any C++ programmer who says they do not know C, knows neither C nor C++ (hence my preference in using C/C++ as a shorthand to encompass both and highlight the dependency of the latter on the former). I often see this in novice C++ programmers who started with "Modern C++" and identify it as something like Java/C# because of the now huge set of standard libraries and copious syntactic sugar which only compounds their confusion further.
> Furthermore, any C++ programmer who says they do not know C, knows neither C nor C++ (hence my preference in using C/C++ as a shorthand to encompass both and highlight the dependency of the latter on the former).
Right, but this dependency is one-way. There is an entire legion of C programmers who reject C++ (most notably Linus), so claiming that almost all C programmers are also C++ programmers is a bit off.
What i meant was that almost all C programmers are aware of and know C++ to varying degrees. But they choose to not use it for their application based on needs/expertise/etc.
Linus Torvalds objection to using C++ is perfectly logical for his use-case. I know many embedded programmers who refuse to use C++ even though they understand and agree with the benefits that it can bring to the table. Their C expertise is so good that when they program, cognitively the language just disappears and they "flow" through the problem solution implementation. This is the crux of problem-solving.
Many of us were there when yada yada white wizard. Hell, my first paid job was writing Perl CGI scripts. Well, script. Monolithic MFing thing spread across 100 files and running a whole company on text files with zero format documentation and RCS as version control. No need for CVS because the systems were incrementally archived with tar every hour...
Until they weren't. (I'm glad you saw that coming, because they didn't.)
Yeah I dislike it. Why are we babyducking sepples attributes? And what I assume to be namespace accessors? Why are logical assertions enclosed in backticks? I "get it", because it's actually kind of difficult to make a backwards compatible derivative of C that doesn't devolve into glyph soup, but this has a massive frankengrammar stink to it. The proof language is eyebrow raising to say the least.
formal verification is great and all, but you can never make it as ergonomic as functional verification. this matters for agents and real people alike.
formal verification requires a deeper understanding of underlying mechanisms to write correctly. yet nothing prevents you or your agent from changing invariants to fit the algorithm and making it incorrect.
And neither can be made as ergonomic as no verification at all. It's all about how much you need. Functional verification isn't an appropriate tool where a single bug is catastrophic.
> yet nothing prevents you or your agent from changing invariants to fit the algorithm and making it incorrect.
If the thing we're trying to prove is ungrounded, it's trivially true that any verification method falls apart. You're still encoding priors in your testing methodology. No matter how robust you think your testing suite is, I can still trick it if given free reign over the codebase.
I've been on this horse for a while now. I've settled on learning Ada/SPARK. Ada 2022 will start feeding a new SPARK 2014 update. Yes, they are both verbose, if you don't like that sort of thing, and don't like Pascal-like syntax. Believe me, I like APL/J/k/uiua/BQN and Forth and ASM. I am usually syntax agnostic as long as the PL and the ecosystem (more important than most think), meet your needs. I tried Rust back in 2018, and then again in 2023, but found it very complex and Ok, not a fan of the syntax. I would have preferred more ML or Haskell-like syntax. Zig seemed nice, but different use case, and too new. After all, Ada/SPARK have been on huge, high-assurance, high-safety applications for decades. Rust is getting some of their love, and vice versa. AdaCore had created a verified Rust compiler, but with a real world product (Blacktail hoist) in the works, we need a toolset and guarantees and ease of auditing and acceptance to achieve high safety and standards certifications. Think aerospace, defense, railway, and automotive. I started programming in 1977, so there's always a place in my heart for ASM/C. I played with F#, F*, and LOW from MS, and they are good, but they and Rust simply don't have the real world legacy of Ada/SPARK. I have been using Shen to write some formally verified models of less safety-critical areas of our software and I find it refreshing, however, my day job is to stay focused on Ada/SPARK until Rust matures more with a formally verifed proven toolset. There are certainly efforts and crates available in that direction, so hopefully others will bring it to where it needs to be. Lean is another one I have been playing with for some of the more overall logic proof of the system we are building.
I think in 2026 complaining about verbosity is a moot point, when folks are programming writing book sized Markdown files for AI tools.
Heck, even complaining about COBOL programming feels like a joke now.
Kudos on you Ada adventures.
I started recently to learn Cobol, since 2 companies my friend and son were working at need them desperately. They would prefer people with experience in the bankiing/finance industry, but at this point all the over 60s guys are leaving, and nobody is left to pick up the mantle. They told me even though the money is great >$225k starting, people don't want to maintain legacy Cobol code with very high risk if you mess up.
The language is actually relatively modern, it kept up with time (latest ISO version is from 2023), and there are even IDEs like Rocket Visual COBOL, granted not something that you might get on e.g. z/OS, but there are others.
It actually compiles to native code, it handles well its use case, batch processing business data, and despite everything less verbose than most agents markdown files I keep seeing.
Yes the risk is there, but it is also there for any kind of legacy application in enterprise scenarios, which is why most migrations fail.
I'll have to dive back in. I could use the decent salary right now. I've been out of work aside from my endeavors to bring this hoist to market we are working on currently. The whole formal verification thing has become an obsession of mine lately. First it was applied to just the safety-critical aspects of our system. Now, I am applying lesser, but still powerful methods and tools to make sure the whole front end and basic networking is also part of this formal verification chain. Down the rabbit hole!
You might find the paper Verification for legacy programs by Michael Ernst useful - https://homes.cs.washington.edu/~mernst/pubs/legacy-verifica...
Also see Round-Trip Correctness: A New Metric for Generative AI-Based Process Modeling - https://news.ycombinator.com/item?id=49033317
Refactoring legacy code seems like something where formal methods could help. "Prove that these 2 subroutines are equivalent, across all inputs" is exactly the kind of thing that they're good at!
https://news.ycombinator.com/item?id=49646528
The "C*" language website - https://cstarlang.org/en/intro.html
See in particular, usage benefits with LLMs (last para of https://cstarlang.org/en/intro.html) and how to use it with LLMs (https://cstarlang.org/en/tutorial/cstar-mcp.html).
Note that the paper/language are from 2025 and so pretty recent.
I really think that verification aware languages are going to become a necessity
Wrote a bit about this recently
https://gavinray97.github.io/blog/design-by-contract-and-eff...
The first thing people need to study is the "Correct by Construction" approach to programming as espoused by Edsger Dijkstra. Only then will the mathematical concepts used in verification aware languages start making sense and one can better understand what and how to use it.
One of the best books to learn this from is The Correctness-by-Construction Approach to Programming by Derrick Kourie and Bruce Watson - https://link.springer.com/book/10.1007/978-3-642-27919-5
The book actually uses Dijkstra's GCL language and wp-calculus along with Carroll Morgan's Refinement Calculus to demonstrate step-wise derivation of programs from specifications using a lot of examples.
I totally agree. I have this nagging feeling that LLMs push things like this past the breaking point. Effects and contracts are _obviously_ useful to humans as well, we've just gotten by without them for a long time. But when you have intelligence on demand, context building is a huge bottleneck, and local reasoning becomes way more useful from an efficiency perspective.
I'd love to see some actual experiments with LLMs in this area. There are a fair number of languages with effect implementations at this point.
I've been looking at model checkers and program proof assistants on and off since FDR and Isabelle/HOL and the like, and there were similar tools going back another decade before that. If you're verifying part of an ASIC or a crypto protocol or something similar they're fine (if extraordinarily painful to use), but for anything else they've been bypassed by AI. I'm not saying that as an AI fan but because by the time you get your PhD and then spend another five years learning how to use the tool and mark up the code and hope you got the markup right and after another six months of what feels like trying to make a string go in a certain direction by pushing it and the tool finally finds a nonexploitable buffer overflow in a function that's never called you realise you could have done the same thing with $2 in AI tokens. It's the program verification technology of the future, and always will be, while "claude, find places where this code does things it shouldn't" is right now and doesn't require a PhD to use.
The problem I've been having is the LLM's are super dodgy, not even ten minutes ago the 'solution' to a proof failing was to disable that check in the static analysis harness so the tests pass since their first try (with a counter example and lemma from the literature in hand) didn't fix the issue.
Maybe it's an issue because it controls both sides of the fence and can change things willy-nilly when it thinks I'm just watching the youtubes but I haven't been able to find a another way to do this so, here we are...
You might find Round-Trip Correctness: A New Metric for Generative AI-Based Process Modeling useful - https://news.ycombinator.com/item?id=49033317
Also see resources at https://news.ycombinator.com/item?id=49269323
The authors cite this, but just to mention it: this sounds like F*, another proof-oriented language. (https://fstar-lang.org/)
F* is in the ML family of languages, so it looks pretty different from C*.
> We claim that C achieves real-time program verification, i.e., the user can carry out verification as they program the implementation code incrementally. It achieves this goal by orchestrating the symbolic-execution engine and the LCF-style proof kernel together, creating a proof-supporting runtime that runs proof-code blocks and symbolic execution of program segments in an interleaving manner
That's why such thing is mostly useless. C is used in places where performance is important and nobody want to sacrifice performance for such proofing. Even more, if such proofing is too slow, it's better to use something like Fil-C.
[dead]
Names for C successor languages are pretty well exhausted by this point, so I sympathize, but I strongly associate the name C* with a decade-old rant about C compilers’ aggressive exploitation of undefined behavior: https://www.complang.tuwien.ac.at/kps2015/proceedings/KPS_20... . (In calling it a rant I don’t mean that it’s altogether unpersuasive. Its style is just a bit spicier than I am used to seeing typeset in Computer Modern.)
I like the concept of separation logic as much as the next guy, but I don't think this is it. Just look at the examples, with loop invariants alone being longer than the whole example. It's not only a problem with ergonomics, but it leaves a lot of space for specification bugs.
And I suspect that cross section of people writing C code you want to verify with formal verification folks is not particularly big.
> And I suspect that cross section of people writing C code you want to verify with formal verification folks is not particularly big.
Perhaps not, but C is still used in a lot of critical systems. Things like this for proving properties of some core of your program can be very helpful.
Right. I was actually quite surprised when i came across this paper/language and saw that it was from 2025.
There already is a C* : https://en.wikipedia.org/wiki/C*
Found another one:
https://www.cs.columbia.edu/~sedwards/classes/2021/4115-fall...
https://github.com/kkysen/cstar
And to sibling comments: I care. Non-mainstream languages are talking points. I don't want to get 15 minutes into a "you should have effects like Koka" argument and then find out the other person is talking about a different Koka.
That C* uses .cs, but nobody is complaining about C# using that extension
That C* was released in 1993
Who actually cares about the name collision?
Count me among those who would care about that enough to be completely dissuaded from naming a new language C*.
Does it matter? Is the global namespace permanently depleted because of an obscure language that nobody has used in 30 years?
By that logic, I think I'll create a new language called Pascal, or maybe Ada...
Unlike the old C* linked at the top of this particular thread, Ada is still seeing active development in its language standard and implementations and new work. Pascal (via FreePascal and Delphi, in particular) is also still maintained and in use today.
Neither of those languages are obscure. If enough time passes that they become considered so, by all means there is no reason to condemn the names to an eternal graveyard.
I think formal verification is a super interesting field, but this is a non-starter for me because I do not have a backwards E on my keyboard
This is a competitor of ATS3.
Interesting, didn't know of this. Some resources;
The ATS Programming Language - https://www.cs.bu.edu/~hwxi/atslangweb/
ATS3-Xanadu - https://github.com/githwxi/ATS-Xanadu
From https://en.wikipedia.org/wiki/ATS_(programming_language)
As of 2024, ATS/Xanadu (ATS3) is being developed actively in ATS2, with the hope of reducing the learning needed by two main improvements:
- Adding an extra layer to ATS2 to support ML-like algebraic type-checking
- Type-based metaprogramming using algebraic types only
With these improvements, Xi hopes for ATS to become much more accessible and easier to learn. The main goal of ATS3 is to transform ATS from a language mainly used for research, into one strong enough for large-scale industrial software development.
I suspect that there is a body of C programmers out here that use C on a regular basis that aren’t posting who know that using C safely is 99% just using Valgrind and some specific GCC or llvm flags and you’re done.
They don’t reply to these threads to share that knowledge because these threads devolve into cesspools about how you should just use Rust despite the language not meeting specific requirements authors have that you have to do additional work and maintenance for in “safe” languages that you get for free in C because you don’t have to emulate it.
> I suspect that there is a body of C programmers out here that use C on a regular basis that aren’t posting who know that using C safely is 99% just using Valgrind and some specific GCC or llvm flags and you’re done.
C* (the submitted language) is not just about determining memory correctness and related program features like what Valgrind will do for you (or help with). It's about proving correctness of programs more generally, so any C programmer not looking at it because they know about Valgrind are choosing to skip something interesting for a very poor reason.
Other languages are much farther along than this. You can in theory take a pile of Rust and isolate exactly the points where undefined behavior might occur, or eliminate them entirely in Ada/Spark.
> I suspect that there is a body of C programmers out here that use C on a regular basis that aren’t posting who know that using C safely is 99% just using Valgrind and some specific GCC or llvm flags and you’re done.
Absolutely right! I sincerely hope they share their knowledge here and elsewhere.
> They don’t reply to these threads to share that knowledge because these threads devolve into cesspools
HN is often rage-inducing when it comes to comments on C/C++/Fortran/Cobol/etc. older languages and systems. There are many critical and industrial-strength systems developed by the previous generation of engineers/programmers which today's noobs/cargo-cultists cannot even hope to imagine much less understand.
As an example, people talk about all the great features provided by Erlang but forget that its BEAM VM where most of the "magic" resides is actually written in C! Imagine how much expertise lies buried in its implementation!
That is called Trusted Computing Base in security speech, having ensure Erlang runtime implementation is safe, is a much reduced effort than certifying a telecommunications distributed application 100% written in C as equally safe under the same attack vectors.
Security Standards/Frameworks like "TCB" (https://en.wikipedia.org/wiki/Trusted_computing_base), "Common Criteria" (https://en.wikipedia.org/wiki/Common_Criteria) etc. are not what i am talking about here. I am pointing to the fact that there is a large piece of industrial-strength C code (i.e. BEAM/ERTS) whose architecture/complexity/techniques are manifested as the "features" of another higher-level language (i.e. Erlang). People seem to appreciate the latter while not comprehending the former. The underlying C-based infrastructure is so good that there are now multiple different-paradigm languages targeting the BEAM.
Incidentally, the C implementation of BEAM/ERTS is not formally verified; only some parts of the upper-layer intermediate representation and bytecode have been verified (academic). Also an Erlang distributed cluster was designed to operate only within an already secure network (i.e. telephone network) and not on today's public Internet. So if you want to run Erlang securely you would need to know overall system security architectures and follow advice given by the "Erlang Ecosystem Foundation Security Working Group" - https://security.erlef.org/
Great idea, terrible syntax.
I say this about C every day.
What's terrible about the syntax? Using "[[require/ensure/invariant/proof/assert/etc.]]" is actually pretty neat.
And given that almost all C programmers are also C++ programmers, no mere syntax can faze us :-)
In my own ranking of favourite programming languages C is at the first place. C++ comes in last. I personally hate it when people write C/C++ as if it's the very same thing. I'm quite sure there's more like me out there. :)
Interestingly Perl comes in second, even I use it rarely (aka not at all) these days. But that's a slightly off-topic side note. :)
Perl is just C with less type safety.
And yes, for the most part. C++ as simple shorthand for struct-attached functions and automatic memory management (no, not smart pointers; RAAI) is good. Every single thing added after that is misery and should push a modern developer to Rust, Go, or Zig (roughly in that order) where such things are implemented sanely or not at all.
Funny I think of Perl as Bash with slightly saner syntax plus robust regexp. (said with love)
This is also fair.
The only thing Perl and C have in common is the curly-brace.
And direct access to system calls. And the uncanny ability to look like it's going to do what I want and then five minutes into a run wind up in a small town in Arkansas blind drunk and crying vaguely about fluffy red squirrels taking its sandwich.
But it adds to the charm.
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For me, C++ is always in first place. It allows me to do high-level abstractions to low-level hijinks all with total control (i.e. zero-cost abstractions, Templates for compile time programming etc.) across all levels of the software stack and the full spectrum of available hardware.
Furthermore, any C++ programmer who says they do not know C, knows neither C nor C++ (hence my preference in using C/C++ as a shorthand to encompass both and highlight the dependency of the latter on the former). I often see this in novice C++ programmers who started with "Modern C++" and identify it as something like Java/C# because of the now huge set of standard libraries and copious syntactic sugar which only compounds their confusion further.
> Furthermore, any C++ programmer who says they do not know C, knows neither C nor C++ (hence my preference in using C/C++ as a shorthand to encompass both and highlight the dependency of the latter on the former).
Right, but this dependency is one-way. There is an entire legion of C programmers who reject C++ (most notably Linus), so claiming that almost all C programmers are also C++ programmers is a bit off.
What i meant was that almost all C programmers are aware of and know C++ to varying degrees. But they choose to not use it for their application based on needs/expertise/etc.
Linus Torvalds objection to using C++ is perfectly logical for his use-case. I know many embedded programmers who refuse to use C++ even though they understand and agree with the benefits that it can bring to the table. Their C expertise is so good that when they program, cognitively the language just disappears and they "flow" through the problem solution implementation. This is the crux of problem-solving.
I'm always surprised on here when I see others admin to liking C and Perl. It makes me feel less alone.
Many of us were there when yada yada white wizard. Hell, my first paid job was writing Perl CGI scripts. Well, script. Monolithic MFing thing spread across 100 files and running a whole company on text files with zero format documentation and RCS as version control. No need for CVS because the systems were incrementally archived with tar every hour...
Until they weren't. (I'm glad you saw that coming, because they didn't.)
> And given that almost all C programmers are also C++ programmers, no mere syntax can faze us :-)
This is... not true at all.
The inverse is true, however. Especially the "almost" part.
Yeah I dislike it. Why are we babyducking sepples attributes? And what I assume to be namespace accessors? Why are logical assertions enclosed in backticks? I "get it", because it's actually kind of difficult to make a backwards compatible derivative of C that doesn't devolve into glyph soup, but this has a massive frankengrammar stink to it. The proof language is eyebrow raising to say the least.
formal verification is great and all, but you can never make it as ergonomic as functional verification. this matters for agents and real people alike.
formal verification requires a deeper understanding of underlying mechanisms to write correctly. yet nothing prevents you or your agent from changing invariants to fit the algorithm and making it incorrect.
And neither can be made as ergonomic as no verification at all. It's all about how much you need. Functional verification isn't an appropriate tool where a single bug is catastrophic.
> yet nothing prevents you or your agent from changing invariants to fit the algorithm and making it incorrect.
If the thing we're trying to prove is ungrounded, it's trivially true that any verification method falls apart. You're still encoding priors in your testing methodology. No matter how robust you think your testing suite is, I can still trick it if given free reign over the codebase.
https://news.ycombinator.com/item?id=49613696
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