Mat Ryer hosts a spectacular panel with expert debuggers Derek Parker, Grant Seltzer Richman, and Hana Kim from the Go Team. Let’s face it, even the best-intended code doesn’t always do what you want it to. What’s a Gopher to do? Listen to this, that’s what!
Linode – Get $100 in free credit to get started on Linode – our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit.
Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this!
Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
Click here to listen along while you enjoy the transcript. 🎧
Hello there, and welcome to a very special episode on Go Time. It’s a GopherCon mashup. This is the lunchtime sessions for GopherCon, and also a Go Time episode, so welcome.
Today we’re talking about what we do when things go wrong. A manager once asked me to only write code that didn’t have any bugs in it; that was an interesting thing… We’re gonna find out today what are bugs, and what can we do to get rid of them, or make sure they’re never there in the first place. We’ll look at tools and techniques around this too with our expert panel, who I’m going to introduce now.
We’re joined by Hana Kim, from the Go team. Hello, Hana!
Welcome to Go Time.
Yeah, I don’t know if I’m an expert, but thank you very much for inviting me to Go Time. It’s so exciting, I’m so honored.
Yes, you are more than welcome to be here. Sorry, I do sometimes accidentally say “expert” and people don’t like that. It sets things up, so… [laughter] Don’t worry, no pressure. We’re also joined by Grant Seltzer Richman. Hello, Grant.
Hi. Thanks for having me.
Well, welcome, mate. You’re very welcome. Are you having a good day so far?
So far, so good. GopherCon is – so far the talks have been great.
Great. Well, hopefully we won’t ruin it. [laughter] And we’re also joined by Derek Parker. Hello, Derek!
Thank you. And good evening, good morning for me on the West Coast… I’m having my second cup of coffee.
Great. Enjoy it! So yes, I should say - Derek, you work at Red Hat, and you’ve actually created Delve, which is a debugger.
Yes, that’s correct.
Okay. So this will be good, because we’ll definitely dig into that a little bit more. It’s such a great tool, and it’s a great way to get rid of bugs. But maybe we could start - what is a bug? Why was it a little bit absurd that my manager asked me to only write code that didn’t have bugs in it?
What is a bug - a bug is something unexpected in your code, or something incorrect; that’s how I think most people typically think of it. It’s something not only unexpected, but just incorrect; a wrong result, or a wrong something. And the absurdity of that statement comes from “How can you have the premonition not to–” You know, sometimes it’s maybe a little bit out of your control when a bug happens.
I would say weird things can happen, like running on a different architecture could expose a bug that you wouldn’t have seen on the CP architecture that you’re using, or in a different environment, or with different environment variables, or whatever. There could be so many things outside of your direct control that could expose a bug, which I think is part of the absurdity of that statement, that “Please write code that does not have bugs.” [laughs]
Yes. Right, it’s just behavior that happens that we don’t want to happen. But of course, there’s no way for the compiler to know that that shouldn’t happen. It’s not like a type error, where you can have a compiler look at the code and tell you, or fail the compilation if things aren’t right. It’s kind of they emerge sometimes from either different ways things are interacting, or just sometimes it’s – you know, you’ve made a mistake; that happens, too.
Sometimes bugs turn into features, so… [laughs]
Yeah, absolutely. Especially when I’ve done it; I will always pretend it was meant to be like that. That’s a great one.
So what do we mean by debugging then? Is this just any method, anything you do to get rid of bugs? Is that debugging? Or is debugging a more specific technical term?
I suppose when you’re using a debugger, doing some type of debugging, you’re trying to figure out what it is that’s causing this unexpected behavior; everybody has an intention when they’re writing their code, so just like how you said that there’s no way for the compiler to tell what you meant for your code to do, it’s doing exactly what you told it to do. So let’s say you’re seeing some bugs - output that’s coming out of your program is not as expected, or you’re just seeing some errors that you didn’t expect to happen. The active debugging is trying to figure out what’s causing that bug, where in your code did you have some logic that isn’t what you intended it to be, and trying to figure that out so that you can then fix it.
Yeah. And when you come to debugging then, with techniques and tools, do you have a particular favorite? What’s the first thing you do when you’ve noticed something’s wrong? Does it depend, or…?
[00:07:51.11] So I will say that I think there’s a sort of a half-joke within all of the tech industry, that adding print statements to your code is wrong, or like an amateur approach… But to be honest, if your program compiles particularly quickly, there’s no reason that adding a print statement should be looked at as like a dirty way of doing it. So the feedback loop - when you’re debugging, you wanna have a quick feedback loop.
So if it’s a simple enough program where you could just add a print statement at a certain point, that’s printing out the contents of variables, I don’t think there’s anything wrong with that, because it’s an intuitive interface. You know that like “I wanna know what happens at this point in the program…” If it’s a particularly complex program, or the compile time is long and you need a faster feedback loop or something like that, that’s when I would typically use a debugger or some type of tracing tool. But… Nothing wrong with print statements.
Yeah, I’m really pleased you said that, because I’ve met junior developers who feel like they don’t know how to use a debugger, or they don’t know what they’re doing, and they just put prints out. But it is completely legitimate. In fact, it tends to be my go-to thing, doing that.
There’s a particular verb that’s very useful in Go. If you use the fmt package, you can do %+v, and then give it any type, and it does a really good job of describing that type, even if it’s a complicated struct, with nest data, and all sorts. And you see the field names too, which is quite useful.
Are there any other favorite techniques like that, that are sort of simple, debuggable things? Printings were a great one.
I’m sure both Derek and Hana can talk about using Delve, but I certainly use Delve, a full-fledged debugger.
Right. Delve is a different beast, really. And the other one that we should talk about before we get onto Delve is test code. Because actually test code is a great way to debug your code. One trick that I find works really well is if somebody identifies there’s a bug, if you ask them to write a failing test, if they can do that, that is a great way. You remove all ambiguity, you’re speaking the same language, you look at the code, and if it’s a failed test, you know, you’ve proven that there’s a bug there. And sometimes the test is wrong, and some of the assumptions are wrong; that’s one thing. But usually, it does kind of highlight the bug. And then, of course, once it’s fixed, you can put that test into your test suite, and you can never get that same bug again.
Hana, you work on the Go team, and you’re working on the VS Code plugin for Go, right? So tell us about that then. That plugs into the IDE, it integrates… So it turns visual code from being what may be just a sort of basic text editor, and adds some kind of Go intelligence to it. Is that fair?
Yeah. And also, it has a debugger integration, too. And also facilities that actually help users to write a good test; or templating, and auto-complete, and those kinds of features… And also like a test comment. So with just one click, you can write a test in your package. So for a debugging purpose, I think my go-to is still a printf and look over it, that kind of thing…
Yeah. So maybe it’s time then just to talk about Delve. Maybe we could start by – just for anybody that hasn’t used a debugger before, and maybe Derek, this is one for you - what is a debugger, and what’s it doing? How does it work, how do you use it?
Yeah, so I actually heard a really good explanation yesterday from Jason, who I was co-instructing a workshop with…
The format? Or is it a human? You’re not talking about the data format…
No. [laughter] As a human.
[00:12:08.25] Got it. That was a half-joke, like what Grant did earlier. [laughter] Go on, sorry.
I liked the way that Jason explained what a tool like a debugger is. I think the name debugger is a bit of a misnomer. The tool itself doesn’t actually fix the bug for you; it’s just a tool that you can use to understand your program. It’s a way to just understand what your program is doing, and then once you figure out what’s going wrong, you can fix the bug.
It doesn’t fix the bug for you, but whose fault is that? You’re the creator and co-maintainer of Delve, so really, you’ve only got yourself to blame there.
In the next release. We’re working on it. [laughter]
But it’s actually an interesting point - it can’t be done automatically; otherwise, of course, the tooling would be doing it for you. You have to tell it what correct is, and you’ve already told it what incorrect is, right?
Yeah, I think it’s approaching any kind of debugging situation with the mindset of “How can I gain insight into what’s actually happening, and how can I do that in a way that will quickly allow me to figure out what’s going wrong, so that I can fix it. And like Grant said earlier, whatever gives you the fastest feedback loop, that’s what you should pursue.
I do println debugging all the time as well, especially when – like, working on Delve, it’s hard to debug a debugger with a debugger sometimes… So doing println debugging in those situations, and whatever gives you the quickest feedback loop I think is the best tool to reach for in that situation.
Okay, so if printing the results isn’t working for you, then Delve allows you to set a breakpoint. What happens then in the program? The program stops at that point.
Yeah, exactly. So with a tool like Delve, a traditional source level debugger, you’re interacting with your program in real time, and that’s what’s fun and interesting about using a debugger - you have the ability to stop what’s happening, inspect state, even change state if you wanna continue…
For example, when you start up a new debug session and you set a break point and you continue to it, you’re telling the program “I wanna stop at this specific location and just check out what’s going on. See how I got here.” You can look at the stack trace, you can see the value of variables. And if you wanna experiment a little bit, debuggers also can let you experiment. You can, for example, change the value of a variable and see if that gives you the result that you wanted.
So it gives you a little bit more of like real-time interaction… Getting back to that quicker feedback loop, without changing a variable in the code, recompiling it, rerunning it, trying to hit that bug again, or seeing if you don’t… You can do some interactive stuff within a debug session.
And you can step then through the instructions; so you can advance the program step by step, slowly, and keep an eye on things, just so you understand what’s happening. It sort of puts it into slow motion and lets you do that carefully, right?
Yeah, absolutely. Exactly.
And how does that actually work? What’s going on? Do you have to build the binary specifically with that debug information added to it, or can you just debug anything?
All binaries include information – it’s called DWARF information. And that’s like a standard format of debug information, basically. It tells tools like Delve how to find variables, how to unwind the stack, how to do all kinds of things.
Go by default will build that into all binaries. You have to opt out of it specifically. And the only reason why you would opt out of it would be maybe you really care about binary size, and you wanna get out every last bit that you can to shrink your binary as much as possible. But by default, that information is going to be in there.
[00:16:16.03] The only other thing that Delve does by default, and I would recommend folks do if they’re gonna try to debug their Go applications/processes etc. is Go also by default will put in optimizations. If you’re familiar with GCC or some other compiler, you have to explicitly tell it what level of optimization you want, and you kind of have to opt into some of the more extreme optimizations. But Go does that by default, and that’s great for when you’re building a production binary - if you wanna ship it off, it’s gonna be fast and performant, and all that. But it could hamper debugging a little bit, because in-lining functions can get weird sometimes… Delve handles it really well now, and the Go compiler has gotten a lot better at providing information for telling debuggers how to handle that. But there’s still certain weirdness there that you can run into when trying to debug and optimize a binary. So that’s the only caveat that I would explicitly mention.
That’s interesting. Hana, when you talk about the VS Code plugin, and it has debugger support, does it support Delve?
Well, actually, Delve is behind the scenes. Other editors, like GoLand, they also use Delve. Basically, this idea that when a user requests to debug their code, it actually formulates, “Oh, this is a Delve comment”, and then invokes Delve, and asks Delve to answer the question. And most of the modern IDEs - they have either this local variable, global variable, or stack trace… So it just asks Delve, and all the information is visible through all this UI, and then users can actually step through the program using the UI… And again, we ask Delve to do all this job.
So the idea is to provide the best user experience and visualize the data coming in and coming out, all the information between Delve and the frontend.
That’s really nice then. So you don’t have to learn these complicated commands, and you don’t have to know about the DWARF data or anything like that, because it’s integrated.
Yeah. Because it’s integrated, you get to just do it right in your code, the same place where you’re writing the code. So that’s really cool. How do you actually do that then in VS Code? How do you set a breakpoint?
So the VS Code team - they tried to standardize the interaction between debugger, just generally a debugger, and the editor. It’s called the Debug Adapter Protocol, and the VS Code Go extension speaks the Delve adapter protocol and there is a small, tiny Delve debug adapter that actually talks Delve RPC. So it’s a little bit complicated, but we try to simplify this communication path, so that the next version, I hope, the communication is more efficient. So that is the general direction we’re heading in.
[00:20:16.16] That’s really cool. It’s nice, because as users of this, we don’t have to worry about that. That’s something that happens behind the scenes. We get to just use the VS Code interface. That’s really great.
I’m interested - Grant, is your talk on Friday?
Yes, Friday. I think something around 4 o’clock.
Mm-hm. It’s meaningless to me, because I’m in a different timezone…
Oh. Eastern Time.
Yeah, okay. I think we should get rid of timezones, by the way. I think that was a bug. There’s a bug in that, to be honest.
We should all just follow New York Time.
If you like… I mean, you jump to an assumption there. [laughter] I live near Greenwich, which is actually where they invented time, I think… Do you know what I mean?
I live near Greenwich Village.
Yeah, okay. [laughter] I wasn’t gonna say there’s a line and you crossed it; I was gonna say in Greenwich there’s a line that’s like the meridian zero line. You can go and stand across it.
Yeah, it’s alright. [laughter] I was gonna ask, what is your talk about, on Friday?
[00:24:05.01] So you can attach EBPF programs, you can think of them as scripts, and attach them to various hooks, such as to network sockets every time a packet comes in, and have some logic. Or to kernel probes, every time source code is executed within the Linux kernel itself.
In particular, what my talk is about is attaching EBPF programs to something called uprobes. Uprobes attach to what essentially is source code symbols. So if you have a Go program that has a function called test function, you can attach a uprobe to that, and attach an EBPF program to that uprobe, so that every time a process executes that function - so if you run that program and it’s a running service, or whatever else, you could have essentially a script respond to that function every time it’s called; so you could print out what the arguments are, you could have some logic for inspecting another area of memory, and it’s useful for debugging, for monitoring, potentially for fuzzing or fault injection as well.
So does the original function still run, and you’re just sort of intercepting it? Or do you replace it?
That’s a really good question. So it does still run… It doesn’t stop the program from running at all; it doesn’t affect the process. It runs in its own virtual machine inside the Linux kernel, actually. So the difference between where – I guess there’s a lot of difference in terms of the underlying technology, but the advantage to EBPF, which I guess could also be seen as a disadvantage compared to debuggers, is that it’s not stopping the program. It’s not attaching to the process. You can have a running program that is completely unaware of the fact that it’s being inspected via EBPF.
Because you’re doing it down at the low-levels of the operating system, I guess.
So what use cases are there for that then? From kind of a debugging, practical standpoint. What sorts of things can you do?
I have a project - I’ll shamelessly plug it; I’m almost at a hundred stars… Go star it. It’s called Weaver. It’s on my GitHub, /grantseltzer/weaver, and what I’m trying to do is have Strace-like functionality. Strace is another tracing tool that you run a program and it’ll print out every time a system call is executed. I’m trying to have a functionality like that for Go programs, where you run a Go program and every time any function inside of that is called - so all of your functions in all of your packages, every time they’re called, they’ll print out a line with “It was called at this timestamp, and the arguments passed had these values, and its return was X, Y or Z.”
So the application there is, you know, for debugging purposes, let’s say you wanna know why you’re getting some garbled output, and you wanna know at what point down the function call stack a function was getting some weird output. And you see somewhere along the line a wrapper around printf is getting really weird outputs; so then you might wanna start inspecting at the function that called that one.
It’s also useful for – not that I’m saying that this is the greatest idea; it’s still a developing ecosystem, but you could attach these two services running in production, because it has such a minimal effect on the performance of the service. And you could attach it to running programs, as well.
[00:28:01.00] That is really interesting. Can you interact – I guess you can’t change things in these little EBPF programs, can you?
I have a little example of how you can, actually, in my talk. There’s a really good talk that was given at some security conference (I can link it later) of how you can write essentially malicious code with EBPF… But even for non-malicious purposes, you could actually write to memory from EBPF. So you can change the value of parameters, which I do in my talk.
Wow. And would you recommend that, or not sure yet?
I think it has its use cases if you are trying to do let’s say something like fault injection, where you have processes that are communicating with one another, and you have a function that is pulling in from another endpoint… And if you don’t wanna have that external dependency, you could have an EBPF program that writes some garbled data to a particular function and see how your program reacts to it.
You could also, if you have a compiled and running service, and you wanna see if a particular fix to your source code will fix the issue - you can insert a small EBPF program that writes correct data… You know, if it was getting incorrect data and if that fixes your whole issue, you know that’s the symptom of it. But I guess it depends on a case-by-case basis. Certainly not in production, I’ll say that.
So these scripts - what language are they? Does it have its own little language? Is it something that would be familiar to us?
So it would be familiar to you – it’s essentially C. It’s a subset of C. There are some restrictions to it, but it essentially looks like C. I guess the language could be called BPF. There’s a verifier within the Linux kernel when you try and load the bytecode. It’s an LLVM-backed compiler.
Nice. It’s a really interesting thing. What’s next before we can start using that kind of technique? Because it feels like it’s quite a new thing on the scene. Has it been around? Where does it come from?
The original technology of it I think was – I don’t even wanna guess… Early 2000s. It used to be strictly for network packet processing. But I would say it’s been within the past two years or so that the ecosystem has really developed. There’s a group of startups – I know Facebook does a lot of EBPF stuff, and they’ve contributed to the community quite a bit. I would say there’s no better time to start doing it than right now, because the ecosystem definitely is developing, but there’s a really strong community of people who really help one another, try and figure this all out and define what good EBPF code looks like and what the ecosystem – how it’s related to Go looks like. So I think it’s best to get in at the ground floor, so to speak.
Very interesting, yeah. It’s definitely something to play with. It sounds like one of those things that can be extremely powerful, but also a bit like in C and C++ - you could do operator overloading, and things, which if used correctly, can be great. But as soon as it’s abused, you end up not knowing what an @ means in the code, or what a plus symbol is doing to things.
Yeah, fair enough.
It’s probably one of those things you would end up using very cautiously, I suppose.
Yeah, that’s fair. I will say that the goal of my talk is to show how accessible the technology is. You don’t have to have any expertise in the low levels of Linux, or even of Go, for that matter. You could really start playing around with it, and it can make a whole new class of problems much more accessible to so many more people.
Yeah, I’ve done a few things with EBPF a little bit here and there. Actually, Delve has a trace functionality which works somewhat similar, but it works at a higher level, using ptrace and some of those other kinds of syscalls. I’ve thought about experimenting a little bit, replacing – on Linux systems I supported replacing that with an EBPF-backed tracing system… So Grant, if you ever wanna send a pull request, we’d love to have it. [laughter]
Yeah, I am happy to integrate it from the VS Code side, with visualization… [laughs]
I would love that.
This is the most productive meeting I’ve ever been in. [laughter] And it wasn’t even meant to be a meeting.
Yeah. And the benefit, like Grant was talking about it the EBPF route, versus – so Go does it at a higher level, using ptrace syscalls and various other syscalls on different platforms, like Windows, and stuff like that… But the fundamental problem of why it’s slower than the approach that Grant described is EBPF stays all within the kernel. So there’s no context switching from kernel space, to user space, back to kernel space, back to user space… That context switch can get expensive. So when Delve traces, in kind of a more portable way, it traces in such a way where there’s – you know, you do switch from the kernel to user space, back to the kernel, back to the user space, and typically, you don’t really see that much of a slowdown if you’re just tracing a program locally, or something like that… But certainly, there’s a performance hit there that could be alleviated by switching to EBPF where appropriate, where possible.
But usually, people are debugging not in production… Does that change at all, or we’re still gonna keep doing it how we’re doing it, if you know what I mean.
I think with EBPF you can make the case that it’s easier and a little bit safer, and more rational to do in a production environment. I wouldn’t recommend doing a Delve trace on a production system unless you really had to. You’re just gonna run into some performance penalties there; that’s really the biggest issue.
Hana, you mentioned earlier that Delve has an RPC API… What is that? What does that look like? How do you consume that? How does VS Code – is it an HTTP API? Is it a protobuf? How does that actually work?
Yeah, so Derek is here to answer the question… I think that there’s a JSON RPC one; it’s just like the JSON stringing between client and server; it’s a simple one. A kind of JSON-RPC 2.0-based protocol… So just a JSON message exchange.
Hm. So you start the program, start the debugger, Delve, and does it then return back some endpoint for you to hit, or how does it work?
[00:35:59.00] Yeah, so just a connecter to the socket… At the port, and then create a socket, and communication over the socket.
Very cool. Well, I ask that, because that’s quite interesting - I think there’s a whole space of tooling, particularly static analysis, or even other runtime tools, like debuggers… And there’s a lot of choice for how to build those things so that they can be easily consumed by plugins, and things… So it always is quite interesting to know about that.
When did the VS Code plugin officially get taken up by the Go team? Because it used to just be something else before, didn’t it?
Yeah, so it was originally owned by the Microsoft team, and I think VS Code Go was one of the oldest languages supporting a plugin VS Code team effort. And then for a while it was in the maintenance mode, and this year actually we got the responsibility to maintain… So I think there was a blog post from blog.golang.org about this transition. Now the tool team inside of the Go team in Google - we are maintaining this plugin.
Hm. How many is on the Go tool team?
Tool team… Hm…
I remember when there was just the Go team, and now it’s like there’s a security team, there’s a team for tools… Right? It’s really growing.
Yeah, there is a high demand. We need a lot of work to do… So there’s currently the gopls team. Gopls is one of the biggest projects. I don’t know if you heard about it…
That is the language service implementation for the Go language… And the Go tool team is to basically provide the best developer experience, including the debug support or language intelligence support. So VS Code Go is one of the projects. Currently, we are based in New York, and a few of us are working on various aspects of the developer experience improvement.
Well, we all appreciate all the work, of course…
…because it’s very nice for us; we just get to use it, and it hopefully makes our lives easier… So I do like to thank people that have contributed. This goes for everyone on this call. Can you give us any spoilers about things that you’re working on now, or that we might see soon? I won’t tell anyone…
That’s legally watertight…
So what’s coming next? Yeah, we are currently working really hard to use gopls as the default Go language service… And also, we are now currently working on – I think I talked about it, the debug adapter protocol, so that we can simplify and then provide a more performant debugging experience for VS Code users. So they are the two big, main projects I am currently working on.
Great. That sounds good. And what about for Delve? Is that pretty much done, or is there a roadmap there? I’m interested in what’s coming next for that, too.
Yeah, it’s one of those things where it’s still constantly evolving. We have a few big things planned. We always work to keep up to date with the latest Go release. Go 1.16 is coming out soon. With each release like that there’s subtle things that may change in the runtime, or how the binaries are put together that Delve has to adapt to… So we continuously work on supporting the latest release, making sure that by the time that release comes out, there’s a Delve version that can support and debug it. So that’s always kind of a big thing for us.
[00:40:15.19] We also have a few interesting features coming up down the line… My co-maintainer is working on a feature where during an interactive debug session you can create and produce a core dump from the process that you’re debugging. It’s similar to gcore, if folks have ever used something like that, but it works a little bit differently. So that’s a cool feature that’s coming up.
Another big push that we’re trying to do is improve the overall architecture support. Right now, Delve actually only supports a subset of all of the architectures that Go can actually run on… And it supports the main ones that folks actually use. You know, AMD64, ARM64, things like that. But there are some outlier architectures that Go supports that Delve doesn’t yet, that we’re also working on as well.
There’s a pull request up right now for supporting 32-bit ARM, we’re looking at supporting PowerPC 64 and S390x, which are kind of weird architectures… But those are kind of some of the bigger things that we have on the roadmap so far.
What about Apple silicon?
Yeah, that’s an interesting one, because – we have a few different backends that Delve can actually use. So there’s a native backend, which we actually wrote and maintained, and we can actually interact with other backends. The talk that I’m giving tomorrow is on using Mozilla rr as a backend to do record/replay debugging. So with that, Delve on macOS actually uses lldb-server as the backend. We have a native Mac backend, but it turns out that the documentation for the mock kernel is horrendous, and trying to figure out how to actually work and interact with that kernel means – like, when I wrote the original backend for Mac, it was digging through the open source kernel to figure out some of these ptrace commands, and some of these weird stuff that I had to do, because the documentation is subpar for that kind of thing.
So all that to say we use lldb-server on the backend, so there’s some changes that we have to do internally with Delve… But some of the heavy lifting we kind of get for free by using lldb-server, which Apple is certainly gonna make work on their silicon…
Okay, great. Wow, Delve really is kind of a big thing… I always think of it as this little tool. I mean, how big is it?
Big in terms of what metric?
It’s a fairly –
No, I don’t know.
The scope of the actual source code and all that stuff - it’s definitely grown, and it’s grown a little bit in complexity over the years as we’ve introduced different backends, and things like that. The goal has always been to keep it as simple and straightforward from a code perspective as possible, but over time, obviously, things get more complicated and you have to deal with weird situations. But yeah, from the perspective of the code and stuff like that, the project itself is a fairly big project, at this point.
Yeah, it sounds like it. When new features come to Go, like say generics lands in Go, what will that mean for Delve? Is there things you’re just gonna get for free, or will there be times when certain language features are added, that that creates a lot of work for you?
It depends. So a lot of that we would get for free a little bit, by the kind of debug information that’s provided from Go binaries, and things like that. So it would kind of be up to the Go compiler and linker to produce the correct information that Delve needs to be able to debug that stuff properly. And with big, new features like that, sometimes the support is there, sometimes it’s not. Sometimes we have to work with folks upstream to get that in, or submit some patches ourselves, and things like that. But a lot of it comes with just coordination with the Go team.
[00:44:06.09] There’s certain things that are Go-specific that we’ve had to work really closely with the Go team to be able to achieve… For example function calls; this is something that actually requires support from the Go runtime, and we had to work with the Go team to make that happen. It was a coordinated effort. So sometimes there’s more coordination, sometimes we get stuff for free.
Cool. Okay, well, it’s time for our regular slot, it’s time for Unpopular Opinions.
So who wants to kick us off with an unpopular opinion?
When you mentioned this, I was going to say that print statements are okay for debugging, but I don’t think that will be that unpopular… So I will say that baseball is by far the most exciting sport in the world.
Baseball. Which one’s that?
It’s the one with all the bases, and the ball.
The ball. The clue’s in the name.
Clever name, actually. I genuinely didn’t actually make that link. Well, baseball gives us lots of metaphors, doesn’t it? It contributes the most metaphors. But I don’t know…
Hana, do you agree? Is baseball a good sport?
Other than U.S. and some Asian countries, who plays baseball?
Yeah, I don’t know.
Oh… Yeah. [laughs] And in Europe?
Nah, not really.
No, we have different versions of it, I don’t know. But yeah, that is potentially unpopular.
But they are missing the best in sport right?[laughter]
Apparently so, yeah. That’s what we’ve heard… According to Grant, yeah. Derek? Is baseball the best sport?
Best, or most exciting…? I would refute most exciting. I think football is pretty exciting. I get excited watching – I don’t know if you consider this a sport, but I like watching poker championships, and stuff… And that sounds pretty exciting. So it depends on your metric.
I watch the Starcraft championships online.
Yeah, there you go.
But I just don’t go outside, so… certainly not to play baseball.
I think baseball is exciting, especially because when you watch baseball, you eat hot dog, you drink a beer… How cool is it? That’s the most exciting one. Soccer - you have to watch. Basketball - you have to watch. Baseball is so slow and relaxing. Best sport, I agree.
You don’t have to pay attention to it, that’s how good it is. [laughter] You can just focus on your hot dog. Do we have other unpopular opinions? And by the way, we test these on our Twitter at @gotimefm. So we’ll find out if that is in deep popular or not. Any others? We’ve got a couple of minutes…
I have an opinion… The world will be better if everybody uses Linux.
All the EBPF, and all this ptrace - they are not available on other platforms.
But what about every other app in the world? But I suppose if everyone was using it… If everyone’s using it, it would work too, wouldn’t it? That’s a fair one… Derek, do you have an unpopular opinion?
I don’t think so.
Do you agree with the Linux one?
I think the world could be a better place if everybody used Linux… [laughs] I’m not as creative as everybody else. I don’t have anything off the top of my head.
That’s unpopular… You created Delve. You’ve done it. You’ve accidentally fulfilled your contractual obligations to provide an unpopular opinion for us.
We are running out of time, so I really only have time to say thank you so much for doing this. It was a great conversation. I wish we could spend more time… And in fact, we’ll invite you back at some point to come and do it, in another Go Time episode. Thank you very much to my guests, Hana, Grant and Derek. It’s been a pleasure. Goodbye.
Thank you so much.
Yeah, thank you for inviting me on.
I never know a joke when somebody asks me for a joke. It’s one of those things, like “Tell me the dumbest joke you know.” At that moment, it’s like, I’ve never heard a joke in my entire life.
We just don’t index the information in that way, do we?
It’s like, “I can’t. You should have told me you were gonna do that, and then [00:50:46.09]”
All my jokes are from my kids, because they ask Alexa for jokes all the time, and they’re just the dumbest jokes ever. [laughter] Those are literally the only ones I know, because they’ll ask me like six times… I have a bunch of kids, so each kid will ask me the same joke, because they’d just learned it from their brother or sister… They think I’ve never heard it; I’ve heard them all six times. [laughter]
What has four wheels and flies? A garbage truck. See? They’re not funny, but… I knew it immediately. It’s not funny.
What? Is it flying?
It has flies.
Oh, has flies.
Yeah. What has four wheels AND flies?
Oh, right… [laughs]
See, it is funny! It’s better than you thought it was.
Yeah. I needed explaining, but yeah. Once it’s explained, I’m all over it.
Did you know that ducks can float?
I didn’t know that.
What do you mean? Of course they do. They’re always on the water, aren’t they?
No, it’s not a joke. Ducks can float.
Yeah. I think it’s pretty cool.
Are they floating or swimming?
I guess a little bit of both.
Our transcripts are open source on GitHub. Improvements are welcome. 💚