I’ve noticed that debugging tends to be more important in imperative languages than functional ones. With imperative style, you have a lot of implicit state that you need to know to figure out what actually happened. So, you end up having to go through the steps of building that state up before you can start figuring out what went wrong. On the other hand, the state is passed around explicitly with the functional paradigm, and you can typically figure out the problem by looking at the exact spot where the error occurred.
My typical debugging workflow with Clojure is to just read the stack trace, go to the last function in it, and then see what it’s doing wrong. Very rarely do I find the need to start digging deeper. I think another aspect of it is having an interactive development workflow. When you’re running code as you’re developing it, you see problems pop up as you go and you can fix them before you move to the next step. This way you don’t end up in situations where you wrote a whole bunch of code that you haven’t run, and now you’re not sure if it all works the way you expected.
With imperative style, you have a lot of implicit state that you need to know to figure out what actually happened. So, you end up having to go through the steps of building that state up before you can start figuring out what went wrong.
i think i struggle with this part the most since i’m entirely self taught and relied on very old methods for writing my source since the educational material i used was the most common and freely available at the time i starting doing development work. i’ve learned that it was acceptably sufficient for the IT-based problems that i was trying to solve at the time i learned it and that legacy style has been keeping me at a disadvantage.
if seen some of the newer style of debugging like the one you’re shared from the young fresh graduate developers who are lucky enough to be spared the slog of a over decade within “customer service” oriented side of the tech industry umbrella and it’s painfully evident to me how vastly superior it is compared to the old methods that i taught myself and it’s encouraged me to seek a degree to help me master them and my new job will make that degree free for me; which matters A LOT as an american considering the price tag it entails.
I find a good approach to getting better at programming is to reflect on the projects you’ve done and try to identify patterns that got you into trouble. Then you can try doing things differently next time, and eventually you end up settling on a style that works for you. At the end of the day it’s really just practice. The one key thing I’ve learned to focus on is reducing the operating context I need to have when reading the code. Once the context becomes too big to keep in your head, then trouble starts. So breaking things up aggressively into small components you can reason about in isolation tends to be the best way to write reliable code you can maintain over time.
but it’s so much easier to put in
echo "if you can see this it worked"100 times in your source. lolI’m so glad it isn’t just me lol
I’ve noticed that debugging tends to be more important in imperative languages than functional ones. With imperative style, you have a lot of implicit state that you need to know to figure out what actually happened. So, you end up having to go through the steps of building that state up before you can start figuring out what went wrong. On the other hand, the state is passed around explicitly with the functional paradigm, and you can typically figure out the problem by looking at the exact spot where the error occurred.
My typical debugging workflow with Clojure is to just read the stack trace, go to the last function in it, and then see what it’s doing wrong. Very rarely do I find the need to start digging deeper. I think another aspect of it is having an interactive development workflow. When you’re running code as you’re developing it, you see problems pop up as you go and you can fix them before you move to the next step. This way you don’t end up in situations where you wrote a whole bunch of code that you haven’t run, and now you’re not sure if it all works the way you expected.
i think i struggle with this part the most since i’m entirely self taught and relied on very old methods for writing my source since the educational material i used was the most common and freely available at the time i starting doing development work. i’ve learned that it was acceptably sufficient for the IT-based problems that i was trying to solve at the time i learned it and that legacy style has been keeping me at a disadvantage.
if seen some of the newer style of debugging like the one you’re shared from the young fresh graduate developers who are lucky enough to be spared the slog of a over decade within “customer service” oriented side of the tech industry umbrella and it’s painfully evident to me how vastly superior it is compared to the old methods that i taught myself and it’s encouraged me to seek a degree to help me master them and my new job will make that degree free for me; which matters A LOT as an american considering the price tag it entails.
I find a good approach to getting better at programming is to reflect on the projects you’ve done and try to identify patterns that got you into trouble. Then you can try doing things differently next time, and eventually you end up settling on a style that works for you. At the end of the day it’s really just practice. The one key thing I’ve learned to focus on is reducing the operating context I need to have when reading the code. Once the context becomes too big to keep in your head, then trouble starts. So breaking things up aggressively into small components you can reason about in isolation tends to be the best way to write reliable code you can maintain over time.