As another example, Go still has not yielded a correct implementation of Raft or Paxos while there are dozens in Java, C++, and Rust. Antithesis found some more bugs in HashiCorp's Raft implementation recently[0]. I'm sure etcd still has some kicking around.
Maybe this is a "don't throw the baby out with the bath water' problem but the general evolution of Go has been lackluster. I reach for Rust, Zig, and modern Java instead depending on the specific needs and constraints.
0 - https://antithesis.com/blog/2026/finding-bugs-in-raft-implem...
Are you saying that this implementation is wrong?
"This Raft library is stable and feature complete. As of 2016, it is the most widely used Raft library in production, serving tens of thousands clusters each day. It powers distributed systems such as etcd, Kubernetes, Docker Swarm, Cloud Foundry Diego, CockroachDB, TiDB, Project Calico, Flannel, Hyperledger and more."
One of the most popular distributed DB is Cockroach which is written in go and also uses Raft: https://github.com/cockroachdb/cockroach/tree/master/pkg/raf...
You may be interested in knowing that the largest managed Kubernetes service in the world (AWS EKS) ripped out etcd for in favor of their homegrown consensus service for large scale EKS clusters: https://aws.amazon.com/blogs/containers/under-the-hood-amazo...
goBGP is arguably even worse.
I don't have a third place in mind that's even worth mentioning relative to these two.
(I have only a rather basic familiarity with go, but was considering gobgp for an infra project...)
[1] https://elegantnetwork.github.io/posts/comparing-open-source...
Gobgp is great if you want to embed it directly into a Go app though. Talos Linux has done that recently.
0: https://etcd.io/blog/2025/autonomus_testing_with_antithesis/
Etcd corruption and loss of quorum is extremely common in practice and the GitHub issues sit for years. The design is simple, the performance is modest, yet it still has still never been reliable, despite being marketed as so. I can't speak to whether this is specifically due to their Raft implementation, but I'd argue the entire codebase is over-engineered and questionable.
Its very much {reliable, performant, flexible} pick none.
That the world runs on Kubernetes is no qualitative statement about the correctness of its Raft implementation. You can say that it's clearly good enough to not matter most of the time, but that is a different statement. No matter who you look at, they're just cooking with gas like you do, and they can make mistakes in just the same way.
Now; I'm only attacking your argument. I do neither know nor particularly care about the correctness of that implementation itself. There's been better refutations of the claim you replied to in other answers anyway.
Thats basically it for starters, what non-technical solution do you propose?
But k8s was invented so that "dev" and "ops" teams could play nicely when they are different org structures, with their own budgets, deadlines, etc.
If it solves some technical issue then that's incidental.
I didn't know Go just isn't a good language for it, but now that I know I'm no longer surprised at etcd being problematic.
Could you elaborate?
Sure it may not be the best fit in a scenario where you want a cluster spanned over the entire globe (thats why GKE uses paxos-based Spanner instead of it) , but even spanned across an entire continent (in europe via glass fiber) it works quite well for me. Its one of the least problematic parts of the stack.
> are you saying this implementation is wrong?
> That's not remotely what he's saying at all.
I'm v confused by this thread
That is literally what the comment says.
I hope my every competitor will take your advice to heart, as one of our competitors did when they read that "Go is not a memory safe language", so they wrote a blog about how they are porting to Rust. While our team was moving fast and using those "primitives that should almost never be used" around our long running production code base with success.
Some time has passed and now their company does not exist anymore and we have a lot of their clients.
Thank you!
> Go's internal data structures like interface values, slice headers, hash tables, and string headers are not immune to data races, so type and memory safety can be violated in multithreaded programs that modify shared instances of those types without synchronization.[113][114]
It's close enough for most purposes... but it isn't.
JS is fine for what and where it is, Rust is fine too. I just appreciate the stupid simple nature of Go and it does the job just fine.
If you want to see something that could potentially impact Raft's correctness, search the last couple of days of the HN front page for choreographic languages [1]. But none of these are even remotely mainstream enough to depend on for anything. Nor do I know if anyone in these languages has implemented Raft. A rather good test case for them, if any of them are looking. That's something that could actually help a Raft implementation's correctness, not just fiddle around the edges of local concurrency issues.
[1]: https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...
The antithesis author states:
"we’ve found bugs in every Raft implementation we’ve tested, including HashiCorp Raft, Aeron Cluster, OpenRaft, and MicroRaft"> Go still has not yielded a correct implementation of Raft or Paxos while there are dozens in Java, C++, and Rust.
That says that there are correct (i.e., bug-free) implementations in those languages. The GP noted
> "we’ve found bugs in every Raft implementation we’ve tested, ..."
which says that there aren't any correct ones. You then wrote
> I didn't say other languages don't have buggy Raft/Paxos implementations
which is a strawman. The issue is whether there are correct implementations. That there are buggy ones is irrelevant.
(FWIW I have no dog in this fight ... I'm just reading here.)
>> "we’ve found bugs in every Raft implementation we’ve tested, ..."
> which says that there aren't any correct ones
That only follows if the GP tested every Raft implementation in existence and no new ones were written since.
Edit:
> What are they implying by citing that? That Raft implementations in all languages have bugs?
That's what it says.
> I've already pointed out that is false.
You claimed that, and it's being disputed.
> Please let me know, since you're so comfortable speaking for them.
This has veered into bad faith ... I won't comment further.
> The antithesis author states:
> "we’ve found bugs in every Raft implementation we’ve tested, including HashiCorp Raft, Aeron Cluster, OpenRaft, and MicroRaft"
What are they implying by citing that? That every language has a Raft implementation with bugs? Yes that's probably accurate because lots of people make Raft implementations for fun and learning. Again, Go does not have a single Raft/Paxos implementation that is rock solid. I have seen many in C++, Java, and Rust that are doing tens of millions of requests per second in production for over a decade.
Is their point that Go is not the only language with this problem? My post already points out the track record is that Go is the problem for writing correct code in highly critical domains.
The only way this becomes useful for comparing languages is if somebody gives evidence of correct implementations in other languages. You're claiming they exist but with no evidence and suggesting they're secret. How do you know those don't have bugs? Did any concurrency bug experts do extensive testing on them? And can we disprove secret Go implementations of the same quality?
No, they are citing that every Raft implementation that Antithesis has tested has bugs. The etcd implementation you note in go that has bugs also does tens of millions of QPS and is over a decade old. How are you confident that the proprietary implementations that presumably haven't been fully tested don't have subtle bugs that don't show up in practice?
But good god, the second it gets to anything concurrency-related, it just loses its mind. As much as it's gotten vaguely ok to try to let the agents loose on some bits of the codebase, they simply can't even do table stakes stuff with the kinds of concurrency you see in real life.
Zig is also good at this but requires more up front design (thread-per-core, static allocation, etc.) and consistent checks to verify rules are followed.
It seems like claude code can code Rust pretty well with Opus, and I've started moving codebases away from Golang to Rust at work with Opus. Spin up an LLM and it cranks on it for a while, and as a benefit, I get easy apis to build on with other languages.
And that's the problem with Golang really, not that it's a bad language per se (all languages have footguns), but that the language interoperability story is terrible. Meanwhile Rust and Python/C/C++ go great together like peanut butter and chocolate. And I love it.
And deadlocks. "Fearless concurrency" helps a lot, but logic bugs are still possible.
Java leans heavily in the other direction: a lot of concurrency is added externally, without changing existing code, often in very declarative-flavored ways.
E.g. Future<T> serves as a foundation for a ridiculous amount of stuff, while Go forces channels for `select` whether they model your problem nicely or not, and they're very difficult (often impossible) to wrap without changing semantics.
There are very obviously lots of counter-examples for both langs (`synchronized`, rill in Go, etc), and I expect Go to become more Java-flavored in time (it already has moved this direction somewhat, and 1.27 will enable a lot more). But I think it's a fair summary of broad ecosystem habits.
1: https://tip.golang.org/doc/go1.27 (not yet released)
the source you link to contradicts your own claims.
they say:
> we’ve found bugs in every Raft implementation we’ve tested, including HashiCorp Raft, Aeron Cluster, OpenRaft, and MicroRaft
(besides Go, that's 2 in Java and 1 in Rust)
Go obviously does not stop you from writing buggy code. Neither does rust or zig or whatever. Does go make it more likely to have bugs? Or a specific class of bug? Like, the real world is about trade offs.
Yes, it's a bit of blame the user which will likely get the retort of "but I thought Go was perfect for junior engineers?"
Yes, there are footguns but none of the points therein were compelling.
But Go is also perfectly good at single threaded polling loops.
They used to blame Python a lot too - Python is slow compared to others but not so slow to matter that much, and you can build other services around it to handle certain work.
Facebook - who chose PHP - used to blame iOS/Obj-c as the reason they couldn’t build a decent Facebook native app in the early days (anyone remember Fastbook?)
I would take it with a grain of salt.
A couple more comments like this from you, and I'll be able to say, "cyanmoonx has a history of blaming the talent rather than bad tools". There being a history like that is neither an argument for nor against tools being bad. And also, don't forget that bad tools and bad talent don't rule each other out.
This trend has been there since we started evaluating models using different languages in February 2026 and if anything, the disparity has grown in frontier models. Even Google models prefer Kotlin/C#/Rust for coming up with creative ideas (compilation success is a different story). Data at https://gertlabs.com/rankings
That being said, models love to recommend Go, and Go does have a lot going for it, especially if you are serving a public-facing website. So most of our public facing API handlers are written in Go, and we offload some of our most important binaries to Rust. There are just too many reasons not to use the languages that models think a little more effectively in.
I've found that the LLM generated Go has few mistakes, and generally isn't too obscure. But the volume of code is so high, colleagues do a bad job of reviewing it.
I've seen a lot of very silly decisions made, like returning the wrong HTTP code, or miscategorizing a metric used for an SLO, that I just don't think is helped by the sheer volume of code one has to wade through.
Ironically, we are considering migrating some initiatives to Rust, exactly because experiments indicate it works well with LLM development.
But weirdly Opus (N=1) in Claude Code does okay on it. Enough I can reliably have it write software and feel confident it works.
I agree very strongly. There's no debate about things that have 1000000 permutations in other languages. e.g. The correct format can always be checked by `go fmt` with no real config options. the end.
> ...And so many languages have an opinionated formatter these days
The crux of gp's post is for Go, there is no debate as 'go fmt' is the only one that matters. Black is great, but some people prefer Ruff, leading to ...debates about which formatter the team/org should use. Go's batteries-included philosophy makes those discussions moot on so many levels beyond formatting.
The first one to choose it (whatever it happens to be) wins and that's the end of it. If it isn't the end of it you've got a talent issue.
Guess what other low-level bike-shedding argument 'go fmt' obviates? That's right - tabs vs spaces!
> If it isn't the end of it you've got a talent issue.
I know you meant this as a slur, but the implication is Go works better than other languages for those who have what you call "a talent issue"
In any case, that's a single decision the project lead takes once.
If I do the simplest possible thing that isn't a single word, by highlighting "opinionated formatter these days (e.g. Black)" and clicking search, I get the right result. I also get the right result for black formatter, and I get the right result if I yolo the entire comment as my search.
Similar to black but faster, written in Rust, by the same team who created uv.
> mean this isn't true, formatting is the most trivial part. And so many languages have an opinionated formatter these days (e.g. Black)
I don't think this is correct
Especially the uv thing. You clone some non-uv git repo that has no pyproject.toml and you don't know what to install. Maybe has requirements.txt but it's partially wrong.
> far better than C# and Java's exceptions
What is wrong with them? When writing enterprise CRUD apps, they are very useful.With exceptions you can
1. Set exception breakpoints.
2. Have real stack traces.
3. No need to write 3 lines of boiler plate every 1 line of code which interacts with outside world.
Ironically this is the case in Go's niche - devopshit, cloud webshit - where the boilerplate error handling makes even less sense since because
1. You are making a network call or OS interactions every 2 lines which can err
2. The consequences of an unhandled exception are actually quite less severe. At worst your request will 500 or the application will restart - which is a consideration you can't escape in these environments.
3. I have seen indiscriminate error handling written by substandard developers which simply concatenates the full wrapped error string to API, leaking full details. At least with exceptions, you can designate different types of exception for 404s vs ayth errors vs bad requests vs Internal errors, and have a central handler which filters out. In go theoretically you can do this, but I have never seen someone utilize errors.As over stringy error handling.
I like Go - it has nice stdlib, nice compiler and runtime, and actually dared to innovate away from the fat-ass LLVM monoculture and made green threads popular. But error handling and uninitialised values sticks out like a sore thumb. It's impossible to read code which does many API/network/OS interactions.
Now they are even better than me.
I do think the way software is organized for primarily agent driven repos will need to change a bit from how I preferred setting things up. (Guessing we're going to be returning to a world of microservices in the near future.)
though the letdown with Java is the wider ecosystem that makes unwarranted contraptions out of simple things.
Thus most JVM implementations had a mix of red (1:1:) and green (M:N) threads, eventually only red threads were kept in the surviving implementations.
With Project Loom now both models are officially supported and part of the specification.
Here from Oracle, as historically taken from Sun documentation for JDK 1.1.
=> Many-to-Many Model (Java on Solaris--Native Threads)
https://docs.oracle.com/cd/E19455-01/806-3461/6jck06gqk/inde...
Yeah Go is my preferred language to code with AI. Second up is type script. Followed by Java, then Python.
One of the cores behind Go is to make language simple, even if at the expense of more verbose code.
Two main examples of this is the infamous 'if err != nil' and how you handle filter/map/funcional operations.
On the other hand, being able to write 'list.filter(v => v.selected)' (or something similar) instead of:
listFiltered := []Item{}
for _, item := range list {
if item.selected {
listFiltered = append(listFiltered, item)
}
}
would save much more tokens.I'm curious to try your proposal, I just want more specifics.
I've found a lot of success pointing claude at locally downloaded docs over llms.txt URLs but not sure how to scale the pattern for a bigger project.
After all, learning a new language takes a lot of time. While basic syntax is common and quick to pick up, mastering a language's specific mental model requires a significant time investment, which is why I've used Go before but never seriously.
My interest was piqued recently when I heard about TypeScript tooling being ported to Go, and I know it is incredibly fast. However, where do the results claiming that AI agents generate superior Go code actually come from? Is it a fair, apples-to-apples comparison?
Since Go is a very small language with only 25 keywords, the way you write code is extremely standardized. Because of this, I would assume it naturally produces a lot of excellent best practices and conventions, but I'm not sure if there are actual, direct code examples proving this
I didn't say that. :)
> where do the results claiming that AI agents generate superior Go code actually come from?
Like I said - reports from users.
> Is it a fair, apples-to-apples comparison?
No - these are reports from users, not a systematic analysis.
> I didn't say that. :)
I call this the Go paradox.
I simultaneously believe we should reach for it 80% of the time to solve common collaborative problems. And being a poorer language is actually an asset in these cases.
However, in doing so, we get rusty lose our fluency in more expressive, perhaps even better languages.
How does that work? Are they generating the same project in different languages and comparing the results? What does it mean for the code to be "better"?
It's anecdata and maybe, MAYBE, a spreadsheet. Or a Google Form somewhere.
In my opinion, it has little to do with the speed of the language. The large quantity of source code to train on is quite helpful, but I think it's something else.
There are three things that I think make it well suited to LLM authorship -
1) static typing and a quick compiler - a variable can't change type after it's declared (unlike Python) makes Go more robust compared to dynamic languages. You (almost) always know what the type of a variable is. And the quick compiling with hard-stop errors means that the LLM gets a solid signal for each round.
2) It's quite opinionated, syntactically. There is generally one way that Go lang code is supposed to look. That means it's pretty easy to read as well as write. The lack of things like operator/method overloading make it an easy language to reason about.
3) the stdlib and limited dependencies. Dependency trees tend to be shallow, and because of the static linking (by default), you can generally be confident that what you wrote will run.