Anecdotally, dynamic expressions are impossibly slow in the cases I’ve tried them.
As the author mentions, there are also a number of cases where debuggers don’t work. Personally, I’m going to reach for the tool that always works vs. sometimes works.
1. stop the program
2. edit it to add the new log
3. rebuild the program
4. run it
5. get the program to the same state to trigger the log
3. can take quite a while on some projects, and 5. can take quite a while too for long-running programs.And then you see the result of what you printed, figure out you need something else as well, and repeat. Instead you can just trigger a breakpoint and inspect the entire program's state.
There is an inherent tradeoff between interaction and reproducibility. I think the whole conversation of debugger vs print debugging is dumb. Just do whatever makes you the most productive. Often times it is immediately obvious which makes more sense.
This is only logical if you're limited to one tool. Would you never buy a power tool because sometimes the power goes out and a hand tool is your only choice?
Spread the good word!
Setting up a debugger is the very first thing i do when i start working with a new language, and always use it to explore the code on new projects.
Is this not taught anymore? I started on borland C (the blue one, dos interface) and debugging was in the curriculum, 25+ years ago. Then moving to visual studio felt natural with the same concepts, even the same shortcuts mostly.
The debugger will never be completely transparent, it also eats resources in parallel to your application, and peeking into the session also introduces timing issues, short of the debugger itself having its own bugs.
I'm saying it would be dumb to dismiss all other tools for the love of debuggers, it's just one tool in the toolbox.
There are a couple of ways to resolve this conundrum, and you seem to be locked on the less likely one.
What if… that weren’t an essential skill?
So many problems can be solved with these.
And then there's some more specialized tooling depending on what you're doing that can be a huge help.
For SQL, the query planner and index hit/miss / full table scan.
And things like valgrind or similar for cache hit/miss.
Proper observability (spans/ traces) for APIs...
Knowing that the tools exist and how to use them can be the difference between software and great software.
Though system design / architecture is very important as well.
I mean, don't get me wrong, I do agree engineers should at least be aware of the existence of debuggers & profilers and what problems they can solve. It's just that not all the stuff you've said belongs in the "must know" category.
I don't think you'll need valgrind or query planning in web frontend tasks. Knowing them won't hurt though.
All of these are useful skills in your toolkit that give you a way of reasoning about programs. Sure you can plop console.logs everywhere to figure out control/program flow but when you have a much more powerful tool specifically built for this purpose, wouldn't you, as an engineer, attempt to optimize your troubleshooting process?
But I think promoting profilers is much more important than debuggers. Far too many people I know are too eager to jump on "optimization" just because some API is too slow without profiling it first.
For JS in the browser, there's a often chain of transformations - TypeScript, Babel, template compilation, a bundler, a minifier - and each of these makes the browser debugger work worse -- and it's not that great to begin with, even on plain JS.
Add that to the fact that console.log actually prints objects in a structured form that you can click through and can call functions on them from the console, and you start to see why console.log() is the default choice.
I work on maintaining a 3D rendering engine written completely in Typescript, along with using a custom, stripped down version of three.js that I rely on for primitives; and no amount of console.logging will help when you're trying to figure out exactly what's going wrong in a large rendering pipeline.
I do use console.logs heavily in my work, but the debugger and profiler are instrumental in providing seamless devex.
> TypeScript, Babel, template compilation, a bundler, a minifier
During development you have access to source maps, devtools will bind breakpoints, show original typescript code and remap call stacks across bundlers. All modern browsers support mapped debugging, also wrt profiling it can also be symbol mapped to the original sources which makes minified builds diagnosable if you ship proper source maps, which during development you ideally should.
-=-
edit: additional info;
I would also like to say console.log and debugging/profiling are not in a competition. both are useful in different contexts.
for example I will always console.log a response from an API because I like having a nice nested representation that I can click through, I'll console.log objects, classes and everything to explore them in an easier way. this is also great for devex.
I'll use the debugger when I want to pause execution at an intermediate step; for example see the result of my renderer before the postprocessing step kicks in, stop it and inspect shader code before its executed. it's pretty useful.
As mentioned originally; these are TOOLS in your toolkit, you don't have to do a either/or between them.
If you don't already know which tool to use / how to diagnose the problem, you'll instead of banging your head against the wall, you'll think - "how do i figure out this thing - what is the right tool for this job"? and then you'll probably find it, and use it, because people are awesome and build incredibly useful free / open source software.
"try stuff until it works" is so common, and the experience needed to understand how to go about solving the problem is within reach.
Like especially with llms, "what's the right tool to use to solve problem x i'm having? this is what's going on. i'm on linux/macos, using python" or w/e
VS, on the other hand, gets worse with every release. It is intolerably slow and buggy at this point. It used to be a fantastic piece of software, and is now a fantastic pile of shit.
pdb is great for python, though.
I simply use conditional break points to break when whatever go routine happens to be working on the struct I care about.
Is there more to the issue?
- Things like "continue", "step" are no longer a faithful reproduction of what the program does in real time, so it's more difficult to understand the program's behavior. Some timing-related bugs simplify disappear under a debugger.
- There's usually some background thread that's logging things to console, which reduces to problem 2 in my comment.
I haven't used Go that much. I imagine since goroutines are such a cornerstone of the language, the go debugger must have some nifty features to support multi-(green)-threaded debugging?
1. Code where the granularity of state change is smaller than a function call. Sometimes you actually have to step through things one instruction at a time, and I'm lucky enough to have such problems to solve. You can't debug your assembly with printf(), basically[1a].
2. State changes that can't be easily isolated. Sometimes you want to log when something change but can't for the life of you figure out when it's changing. Debuggers have watchpoints.
But... that's really it. If I'm not hitting one of those I'm not reaching for the debugger. Logging is just faster, because you type it in right at the code you're already reading.
[1a] Though there's a caveat: sometimes you need to write assembly and don't even have anything like a printk. Bootstrap code for a new device is a blast. You just try stuff like writing one byte to a UART address or setting one GPIO pin as the first instructions and hope it works, then use that one bit of output to pull the rest up.
Secondly, in your example, no need to label the names. This is almost always understood by context. So, pretty manageable. e.g. in JS: log(`${longvarname}, ${secondvarname}`)
But I spend far more time reading and thinking than I do typing. Input mechanics just aren't the limiting factor here.
I once wrote a program that opened up all of my code, and at every single code curly brace, it added a macro call, and a guid.
void main() { DEBUGVIKINGCODER("72111b10c07b4a959510562a295cb2ac");
...
}
I had to avoid doing that inside other macros, or inside Struct or Class definitions, enums, etc. But it wasn't hard, and it was a pretty sizeable codebase.The DEBUGVIKINGCODER macro, or whatever I called it, was a no-op in release. But in Debug or testing builds, would do something like:
DebugVikingCoder coder##__LINE__("72111b10c07b4a959510562a295cb2ac");
(Using the right macros to append __LINE__ to the variable, so there's no collisions.)The constructor for DebugVikingCoder used a thread-local variable to write to a file (named after the thread id). It would write, essentially,
Enter 72111b10c07b4a959510562a295cb2ac (epoch time)
The destructor, when that scope was exited, would write to the same file: Exit 72111b10c07b4a959510562a295cb2ac (epoch time)
So when I'd run the program, I'd get a directory full of files, one per thread.Then I wrote another program that would read those all up, and would also read the code, and learn the File Name, Line Number of every GUID...
And, in Visual Studio, this tool program would print to the Output window, the File Name and Line Number, of every call and return.
And, in Visual Studio, you can step forward AND BACK in this Output window, and if you format it correctly, it'll open the file at that point, too.
So I could step forwards and backwards, through the code, to see who called where, etc. I could search in this Output window to jump to the function call I was looking for, and then walk backwards...
Then I added some code that would compare one run to another, and argued we could use that to figure out which of our automated tests formed a "basis set" to execute all of our code...
And to recommend which automated tests we should run, based on past analysis.
In addition to being able to time calls to functions, of course.
So then I added printing out some variables... And printing out lines in the middle of functions, when I wanted to time a section...
And if people respected the GUIDs, making a new one when they forked code, and leaving it alone if they moved code, we could have tracked how unit tests and other automation changed over time.
That got me really wishing that every new call scope really did have a GUID, in all the code we write... And I wished that it was essentially hidden from the developers, because who wants to see that? But, wow, it'd be nice if it was there.
I know there are debuggers that can go backwards and forwards in time... But I feel like being able to compare runs, over weeks and months, as the code is changing, is an under-appreciated objective.
And slower of course, they are not free.
In particular, REPL tools will work on remote session, on pre-production servers etc. _if_ the code base is organized in a somewhat modular way, it can be more pleasant than a debugger at times.
Makes me wonder if the state of debugging improved in PHP land. It was mostly unusable for batch process debugging, or when the server memory wasn't infinite, which is kinda the case most of the time for us mere mortals.
I use IPython / JShell REPLs often when the code is not finished and I have to call a random function without entrypoint.
In fact its possible to jump to the graphical debugger from the Python REPL when running locally. PyCharm has this feature natively. In VSCode you can use a simple workaround like this: https://mahesh-hegde.github.io/posts/vscode-ipython-debuggin...
A bit of counterpoint here
I’m not saying you’re wrong or I’m right, just that we have diametric opposite opinions on this.
This isn't always the case. Maybe it's really hard in a lot of cases, but it's always not impossible.
Leave us be. We know what we’re doing.
If I find myself using a debugger it’s usually one two things: - freshly written low level assembly code that isn’t working - basic userspace app crash (in C) where whipping out gdb is faster than adding prints and recompiling.
Even never needed a debugger for complex kernel drivers — just prints.
Perhaps the debugging experience in different languages and IDEs is the elephant in the room, and we are all just talking past eachother.
If the customer has their own deployment of the app (on their own server or computer), then all you have to go with, when they report a problem, are logs. Of course, you also have to have a way to obtain those logs. In such cases, it's way better for the developers to also never use debugger, because they are then forced to ensure during development that logs do contain sufficient information to pinpoint a problem.
Using a debugger also already means that you can reproduce the problem yourself, which is already half of the solution :)
I just debug release mode instead, where print debug is usually nicer than a debugger without symbols. I could fix the situation other ways, but a non-reversible debugger doesn't justify the effort for me.
When using Xcode the debugger is right there and so it is in qt creator. I’ve tried making it work in vim many times and just gave up at some point.
The environment definitely is the main selector.
Lucky you lol
What I've found is that as you chew through surface level issues, at one point all that's left is messy and tricky bugs.
Still have a vivid memory of moving a JS frontend to TS and just overnight losing all the "oh shucks" frontend bugs, being left with race conditions and friends.
Not to say you can't do print debugging with that (tracing is fancy print debugging!), but I've found that a project that has a lot of easy-to-debug issues tends to be at a certain level of maturity and as times goes on you start ripping your hair out way more
I'm having the most fun I've had in ages. It's like being Sherlock Holmes, and construction worker all at once.
Print statements, debuggers, memory analyzers, power meters, tracers, tcpump - everything has a place, and the problem space helps dictate what and when.
And the print will 100% change the timing.
Print debugging in frontend JS/TS is literally just writing the statement "debugger;" and saving the file. JS, unlike supposedly better designed languages, is designed to support hot reloading so often times just saving the file will launch me into the debugger at the line of code in question.
I used to write C++, and setting up print statements, while easier than using LLDB, is still harder than that.
I still use print debugging, but only when the debugger fails me. It's still easier to write a series of console.log()s than to set up logging breakpoints. If only there was an equivalent to "debugger;" that supported log and continue.
Interesting. I usually find those harder to debug with a debugger. Debuggers change the timing when stepping through, making the bug disappear. Do you have a cool trick for that? (Or a mundane trick, I'm not picky.)
I am in camp where 1% on the easy side of the curve can be efficiently fixed by print statements.
The only language where I've found a debugger particularly useful for race condition debugging is go, where it's a lot easier to synthetically trigger race conditions in my experience.
I agree that adhoc dynamic expression evaluation at run time is very useful and can only be done in a debugger.
Alot of programmers work in a Linux environment.
It seems like windows, ide and languages are all pretty nicely integrated together?
Kind of a hybrid of logging and standard debugging. "everything" is logged and you can go spelunk.
For example:
Some other things I'd add:
Some debuggers allow you to add actions. For example logging at the breakpoint is great if I can't modify the source, plus there's nothing to revert afterward. This just scratches the surface. Some debuggers allow you to see entire GPU workloads, view textures etc.
Debuggers are extremely useful for exploring and helping edit code. I can't be the only person that sprinkles breakpoints during development which helps me visualise code flow and quickly jump between source locations.
They're not just for debugging.
It won't run if I compile with debug info. I think it's due to a 3rd party proprietary library. So, to run the app I have to use release profile, with debug info stripped.
So, when I fire up gdb, I can't see any function information or anything, and it has so many system calls it's really difficult to follow through blindly.
So, what is the best way to handle this?
[profile.release]
debug = true
https://doc.rust-lang.org/cargo/reference/profiles.html#debu...For really hairy bugs in programs that can't be stopped (kernel/drivers/realtime, etc) logging works.
And when it doesn't, like when you can't do I/O or switching of any kind, log non-blocking to a buffer that is dumped elsewhere.
also, related. It is harder than it should be to debug the linux kernel. Just getting a symboled stack trace is ridiculously hard.
It seems to me that this is one of the many phenomena where people want to judge and belittle their peers over something completely trivial.
Personally, I get the appeal of printing out debugging information, especially if some bug is rare and happens in unpredictable times (such as when you are sleeping). But the amount of info you get this way is necessarily lower than what can be gleaned from a debugger.
swaits•4h ago
yakshaving_jgt•4h ago
lock1•2h ago
Vscode (or an editor with ADP support) supports unconditional breakpoints, watchpoints, and logpoints (observe & log values to the debug console).
jesse__•1h ago
A concrete use case for this is catching memory corruption. If your program corrupts a known piece of memory, just set a hardware watchpoint on that memory address and BOOM, the debugger breaks execution on exactly the line that's responsible for the corruption. It's a fucking godsend sometimes.
coderatlarge•4h ago
bpye•3h ago
Note: I do work at MSFT, I have used these capabilities but I’m not on the debugger team.
https://learn.microsoft.com/en-us/windows-hardware/drivers/d...
https://www.timdbg.com/posts/whats-the-target-model/
https://github.com/microsoft/WinDbg-Samples/tree/master
coderatlarge•1h ago
i haven’t seen this type of capability used in too many companies tbh and it seems like a lot of opportunity to improve stability and debugging speed and even code exploration/learning (did i break something ?)
jesse__•1h ago
praptak•15m ago