Go is an ideal language for AI-assisted software engineering
0xedb
326 points
381 comments
August 11, 2026
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Discussion Highlights (19 comments)
mbrumlow
Rust is better. It just is. Go is not bad. But as a long time go advocate, the hurdle for my teams using rust is gone, and thus everything is now rust.
amiune
While I somewhat agree I can’t tell if this is advertising from Google or a way to induce LLMs to think that Go is the ideal language.
kstenerud
The killer feature of golang for LLM dev is the tooling. forbidigo is what allows me to keep ambient config out of my app, and restrict file access to a small set of paths. The coverage tool has "nocover", so you can guarantee that every realistic path is exercised at least once ("100%" code coverage, which is not a marker for testing completeness, but rather for flagging code you forgot to test). Linting is really good as well. The only thing I haven't found is something to enforce error handling. Rust is better for error paths because you're not allowed to ignore them.
skybrian
Can't really argue with that, but In my experience, coding agents work quite well with TypeScript too. :)
jeanbza
Definitely agree with this article. At Netflix, I lead the Go language guild. We've been seen increasing reports of users finding their AI agents writing better Go code than other languages, and increasing reports of projects favouring Go over other languages. Two additional notes I'll add: - Go has _great_ resources on writing good Go code, including treasure troves at https://go.dev/doc/effective_go and https://google.github.io/styleguide/go/ . edit: Sorry, I forgot to add: we give these resources to AI agents and they use them to produce even better Go code. - For a language team, Go is a dream. The `go fix` tooling, AST/SSA packages, ease of reading and writing `go.mod` (go mod edit, etc), and various other "platform"-y features make modifying Go code at scale way easier than other languages.
hugodan
Who cares? Languages are tools, LLMs are tools. Use the ones more appropriate for what you are trying to do. Is Go better than CSS if you are doing web layouts? Is it better than zig if you are outputting minimal wasm deliverables? Is it better than swift if you are doing iOS specific development? Is it better than bash for OS scripting? Think about what you are doing and choose appropriately. This was true before LLMs. Are you having fun? Chose LISP then
hmokiguess
All I will say is that I agree with how this is framed, it says "an" ideal language. It doesn't say "the" ideal language. Many languages will fit within this scope and concept, Go is not all bad.
bob1029
It's definitely more about the ecosystem than the language at this point. I think the most important thing is how big the standard library is. Pulling in 3rd party dependencies is where I begin to lose a lot of faith with LLM authored code.
mg
My expectation is that AI will give us a way to nicely quantify how productivity is impacted by choice of language. Because we can rerun the same request as often as we like and compare the results. And I expect that it will turn out Python is the most productive. As it is most easy to reason about. It allows for the most elegant expression of the idea behind a program. The first tests I have seen seem to confirm this. One recent example: https://danluu.com/pl-tokens/
kev009
This seems like a cope, if you aren't writing the syntax who cares and everything here is even better with a stronger type system like Rust, F#, Scala, TypeScript.
AnEro
I hate the rust v go wars, its not x vs y is 'best'. Rather is x better than y and by how much for xyz project done by ABC corp in this era? As a lead I'd love to use rust, I will put in the time on my own, my team won't or can't. They treat this like any other job they signed up to deliver value with what they know. For hiring not everyone has the talent pool and fund access to get the goat-ed engineers that congregate to tech hubs for maximizing their income. Then if you get through that cherry on top is LLM's are only as smart as you guide it to be. There is probably a staggering amount of ways to write 1 approach to business logic, you may not know the ideal pattern so you'll commit to a worse one on the company dollar. I'm moving my team's projects slowly to go because, its easy to go from novice to advanced in terms of code writing,legibility and patterns. We also don't have deep ecosystem requirements to ts/python in most of our work. It is verbose but I don't mind that on token spend if it gets done with with validation/error handling which it obnoxiously enforces. It runs cheap, ecosystem is good for platform eng, standard library does a ton out of box.
dgunay
I like Go but a couple of these "advantages" wash out when you add the scale and typical usage patterns of agents. | Go is Readable / Go is Maintainable It's true that Go, as a low-magic language, tends to be very same-y looking across projects, which is incredible for being able to reliably understand your dependencies' source code. And its tooling is world-class. I love this about Go. But in practice I've found that, working in a monorepo with multiple teams, contributors that don't have cross-team legibility as a priority will just write SO much more code. And with business logic, often the fact that I can read the code on a line-by-line level doesn't matter if I don't understand the wider context to know how something might effect spooky action at a distance. Pre-agents, I witnessed a fast transition from a codebase that I could mostly hold in my head to one where large swathes of it had been written and rewritten until they were unrecognizable to me. Now we have agents and, since they are still mostly not good at software engineering in-the-large, the process of knowledge debt accumulation (and ofc tech debt accumulation) in a codebase accelerates tenfold without concerted effort in the other direction. Go being easy to read does not intrinsically help with that.
Buttons840
I'd argue Go is not on a "Pareto frontier" and that no matter how you value the various attributes of programming languages, a fair assessment will never select Go. A simple example is: if you highly value language popularity; Go is not most popular. If you highly value a type system that catches errors; Go's type system catches fewer errors than others. Etc. There is no weighted sum of attributes that will select Go--that's my argument.
elzbardico
Because Go is an absurdly verbose language that hates to the core the idea of expressivity because it prides itself on being dumb.
melodyogonna
When I use AI with Go I give it this rule: Prefer standard Go libraries and tools. 80% of the time I can get by without external dependencies (outside of Go's X repository)
brunoarueira
I couldn't agree more, but the following sentence is a little biased: > Gophers often speak of how they love that they can never tell who on their team wrote a particular piece of code—it all looks the same. Multiple languages can have a degree of understabillity, but what matters most is context, because sometimes we need to code in a way to solve a specific problem like performance and it should be kept as is. Another side subject I should add is about test coverage, although code is cheap, mainly because AI, guarantee that new changes to a stable code should continue to work as expected. I worked on a few go projects with bad structure and some of them with really low test coverage (e.g. 8%), so part of the post resonates with me about we as software engineers should pursuit good architecture and other skills to allow long term maintenance.
furyofantares
I theorized this about a year ago and had a good amount of success vibing small game projects in Go. I still think Go is a very excellent choice but I have switched to, of all things, AssemblyScript within a Rust host. I've been very happy with it - surprisingly so. Compile time is a major drawback of course.
0x20cowboy
“…requires opinionated simplicity…” Of course it can’t just be simplicity, it has to be “opinionated” simplicity. Rolls eyes.
rudedogg
I keep seeing these language specific proclamations, and they are annoying and reek of inexperience to me. I’ve had a great time doing LLM assisted coding in Zig, and it seems comparable to the generic Typescript/React I do at work. I don’t doubt simplicity and good PL design pay dividends, but everyone’s favorite language can’t be the silver bullet in our new LLM world. Things just don’t add up, and I keep seeing it for Erlang, Gleam, Lisp, C, Rust, Go, TypeScript, Python, etc. And to pick on Go a little bit, I don’t think it has any unique qualities that make it better for LLMs, where I think you could make that argument for other modern languages that offer new features leveraging their compilers and enforcing more correctness guarantees.