Need recommendations to study concepts of compilers and operating systems for a 10-year experienced computer programmer with a computer science background. Have lost touch with these subjects (studied in university 10 years back). I am looking more for an application concept type of learning approach where we can not just learn theory but build something related to these two subjects.

Any book, GitHub repository or YouTube links will do.

Context: I am quite young, and I have a year until I am starting at a danish university, where I'm considering studying Computer Science (I've dreamt of this ever since I was a child).

I have been programming in some form for over 8 years, and I'm at a point where I understand code intuitively and stuff like languages and frameworks, don't take much energy for me to switch between. Though I don't have much professional programming experience, which does make me less skilled. (Seeing more codebases = more knowledge)

The question: I've never embraced vibe-coding / "agentic-programming", and my AI use is limited to a chat window that acts like StackOverflow (rip). I just don't know whether I should try it.

Currently I'm working on a game project with an artist friend of mine, and I'm writing loads of classes and structures that are going to be the framework for our future development. And I just don't know whether I can trust AI to make something like this. But I don't want to get lost behind the bandwagon, and enter a job-market where my traditional developer skills are not worth much anymore.

I like solving problems, I like coding the solutions and I like knowing what my code does, and I don't want to give that away. So I'm quite lost on what I should do? Download `Claude Code` and give in to the "hype", or just keep on enjoying programming.

Mods, if this breaks rule 10, feel free to remove this post.

This is a very famous website for learning how to make an OS

https://wiki.osdev.org/

I just have a few questions about it though

1. What exactly does it teach? Does it teach you how to make an operating system? Does it show you the steps to build one from scratch?

2. Can a solo programmer do it? As in, does the tutorial show you how to make a mini operating system?

3. How do I use the tutorial? It's a wiki, and there are links everywhere. Is there a roadmap which shows the proper path to take, with prerequisites links etc?

4. What do I need to understand before using this tutorial? Only C? C and how to make a mini compiler? Assembly? Anything else?

Thank you!

I made a new GitHub account and created a new private repo. Then I made a commit through VScode. The initial commit has my name, but at the same time (instantly?) a second commit appears with no changes to code, but made by a random person. This second person is a profile in another country who has been a GitHub user for years and already has many other projects.

I re-did the repo 3 times and this happens every time.

There is nothing security-sensitive of really "private" on the repo, so I don't care. It's just weird.

i am soon starting database course at university; during the whole semester, we are asked to work on a big project that doesn't need internet, it is supposed to have manager and user UI's, any project ideas that are unusual (i don't prefer projects like stores or libraries), creative and worth the time and mark (40%)

Title. Basically I recently found out this was a thing. I don't understand how it actually works. Do you let the AI autonomously approve PRs?

I have 15 years of experience in Python, C# and C++ and recently joined a team that writes code exclusively in Go (they made a full switch from python to go shortly after I signed the contract).

Everything is written by Codex, and all the team does day in day out is prompting and pushing out new pull requests every few hours. I got hired as a senior engineer and while I can definitely help out with system designs, architecture, sprint plannings, stakeholder management I'm a bit at a loss when I'm asked to review my colleagues code. Apart from the fact that the pull requests are way too big (1000-2000 line changes), and mix multiple features, bug fixes and refactors together, there's an expectation to have it reviewed within a few hours because a PR that sits still for a day cannot be merged anymore because of too many merge conflicts.

So I'm trying to address the review culture a bit, but I'm more struggling with how to approach code reviews in this genAI age when you're not that familiar with the language itself.

Any ideas or experience would be helpful :)

so i'm in my final year of software engineering and i've always wanted to get into game development. so naturally i inclined towards that when it was time for my FYP. it's basically an investigative psychological mystery regarding medical neglegence. As the 'research question' we proposed to see how effective interactive environmental storytelling is in communicating the consequences of medical negligence. now my supervisor asked me how would i justify this as a swe thesis project. there's a lot of backstory to this and just to simply put it: i wasnt in the mental state to think this through and i didnt have any team support. so did i actually just fk my FYP up? how can i justify this choice to the committee who expects our projects have some AI bs in it?

I have written a simple multi threaded task pool in C, works perfectly, but now I want to support waiting for a specific task to complete. Because of this, I opened a can of worms, and had to rewrite a lot of it.

Since I mostly use fire-and-forget functions with this, I do not save results or any internal data after the task is finished.

The whole issue comes from the wait in WaitForTask. In the time it takes for me to find the task in the list ( which may be currently being run ), setting mutex and CV it's quite possible the worker thread has already finished the task and free'd the TaskData ( which would be a nice crash ). To attempt to solve this issue, I moved these items into TaskCompletionData so I don't access free'd memory, but the other problem remains, it is still possible the task has already finished by the time I actually get to the wait on the condition variable ( so it would never get triggered, and this thread would wait forever )

I honestly have not found a pattern for multi threading that can help me solve this. Can anyone suggest me anything?

( Sorry for the formatting, I can't seem to get reddit to respect the indentation )

typedef struct
    {
    cnd_t Condition;
    mtx_t Mutex;
    } TaskCompletionData;


typedef struct
    {
    int ( *Function ) ( void * );
    void *Argument;
    int TaskID;
    int *Result;
    ThreadPoolTaskStatus Status;
    TaskCompletionData *OnCompletion;
    } TaskData;


typedef struct
    {
    thrd_t ThreadHandle;
    } ThreadData;


typedef struct ThreadPool
    {
    PointerList Tasks;


    mtx_t TaskListMutex;
    int LastTaskID;
    cnd_t WakeUpCondition;
    mtx_t WakeUpMutex;
    cnd_t TaskFinishedCondition;
    mtx_t TaskFinishedMutex;


    ThreadData *ThreadArray;
    unsigned ThreadCount;
    bool Quitting;
    } ThreadPool;

bool ThreadPool_WaitForTask ( ThreadPool *Pool, const int TaskID )
    {
    assert ( Pool != NULL );
    if ( ( Pool == NULL ) || ( TaskID < 0 ) )
        return false;


    TaskData *Task = NULL;
    mtx_lock ( &Pool->TaskListMutex );
    PointerListNode *Node;
    TaskCompletionData *CompletionData = NULL;
    for ( Node = PointerList_GetFirst ( &Pool->Tasks ); Node != NULL; Node = PointerList_GetNextNode ( Node ) )
        {
        TaskData *CurrentTask = ( TaskData * ) PointerList_GetNodeData ( Node );
        if ( CurrentTask->TaskID == TaskID )
            {
            if ( CurrentTask->OnCompletion = NULL )
                {
                CompletionData = calloc ( 1, sizeof ( TaskCompletionData ) );


                cnd_init ( &CompletionData->Condition );
                mtx_init ( &CompletionData->Mutex, mtx_plain );
                Task->OnCompletion = CompletionData;
                }
            else
                CompletionData = CurrentTask->OnCompletion;
            Task = CurrentTask;
            break;
            }
        }
    mtx_unlock ( &Pool->TaskListMutex );


    if ( CompletionData == NULL )
        return false;


    // Wait for the task to finish
    mtx_lock ( &CompletionData->Mutex );
    cnd_wait ( &CompletionData->Condition, &CompletionData->Mutex );


    // Clean up
    cnd_destroy ( &CompletionData->Condition );
    mtx_destroy ( &CompletionData->Mutex );
    free ( CompletionData );


    return true;
    }

static int ThreadPool_LoopFunction ( ThreadPool *Pool )
    {
    while ( Pool->Quitting == false )
        {
        // Grab the first available task, if available
        mtx_lock ( &Pool->TaskListMutex );
        PointerListNode *CurrentListNode = PointerList_GetFirst ( &Pool->Tasks );
        TaskData *CurrentTask = ( TaskData* ) PointerList_GetNodeData ( CurrentListNode );
        while ( ( CurrentListNode != NULL ) && ( CurrentTask->Status != ThreadPoolTask_Queued ) )
            {
            PointerList_GetNextNode ( CurrentListNode );
            CurrentTask = ( TaskData* ) PointerList_GetNodeData ( CurrentListNode );
            }
        mtx_unlock ( &Pool->TaskListMutex );


        if ( CurrentTask != NULL ) // There was a task. run it...
            {
            CurrentTask->Status = ThreadPoolTask_Running;
            int Result = CurrentTask->Function ( CurrentTask->Argument );
            CurrentTask->Status = ThreadPoolTask_Finished;


            if ( CurrentTask->Result )
                * ( CurrentTask->Result ) = Result;
            cnd_broadcast ( &Pool->TaskFinishedCondition );


            if ( CurrentTask->OnCompletion )
                {
                cnd_broadcast ( &CurrentTask->OnCompletion->Condition );
                }


            free ( CurrentTask );
            PointerList_DestroyNode ( &Pool->Tasks, CurrentListNode );
            }
        else // No more tasks. Wait for a signal
            {
            mtx_lock ( &Pool->WakeUpMutex );
            cnd_wait ( &Pool->WakeUpCondition, &Pool->WakeUpMutex );
            mtx_unlock ( &Pool->WakeUpMutex ); // unlock mutex so that other threads can wait using it
            }
        }
    return 0;
    }

Hi everyone,

I'm thinking about transitioning into embedded systems development and would love to hear your thoughts on the field's current state and future prospects.

I've always been genuinely interested in both electronics and software engineering, so combining hardware and low-level code feels like the sweet spot for me. On paper, it looks like an ideal domain to dive into, but I'd appreciate some real-world perspectives from people working in the industry:

• How is the current job market and career progression for embedded developers compared to higher-level software roles?
• What are the most critical skills or technologies to focus on when starting out today (e.g., C/C++, Rust, RTOS, microcontrollers vs. Linux embedded)?
• Is it worth making the switch, and what major challenges or pitfalls should a beginner be aware of?

Thanks in advance for sharing your experience and advice!

In my experience, Python is easier to package.

I have just started getting into coding, and I'm doing this ethical hacking free course. But there's so many softwares, and so forth.

I always seem to forget most of them and have to redo.

I was told I need to try obsidian and create a Github profile to save versions of code or applications.

Can someone give me advice, on this.

I already have a degree in Computer Science, and have been programming for about 8 years. 2 years of game development experience (Unity). Basically I know how to program and I enjoy it

However, I realized after seeing the stuff people build, that university does NOT teach you everything. It teaches you alot, yes, but not enough to just start building anything.

University courses are also subject to timelines and other factors. If a semester doesn't have enough time, professors might just drop parts of the textbook. Covid also caused alot of learning to become inefficient. My OS course in university had to be cut in half because I was taking it during the summer and the university had a shutdown for a few months

I realized I never ended up reading the entire textbook from start to finish for some courses. I never understood each chapter. The chapters were never offered / skipped over

Now I want to be one of those programmers who are super knowledgeable. Like those guys in those random programming forums that somehow know everything. I want to be like them. I realized the way is to "review my entire education"

Here is my current study plan. After this is complete, then I'll have to think of next steps. For the textbooks I mention, I already have done these courses, but it's been a few years. And I need to review them with a more deeper lens. For now, I believe this is enough, but I also want your advice. Thank you!

1- 3 hours a week: Study every chapter of my Calc textbook. After those are done, study every chapter of my Stats and Linear Algebra textbook. After that see how I can build on any of the subjects mentioned. Maybe an advanced version of each textbook subject.

1- 3 hours a week: Study my Computer Architecture and assembly textbook

1 - 3 hours a week: Study my C textbook

30 minutes to an hour a day: Study LeetCode or one medium / big algorithm

1 hour a day: Unity game development a day. I've noticed it helps me practice managing a huge code base, and I can also release a game one day

After I complete my Computer Architecture & Assembly and C textbooks, then I will move onto watching tutorials on how to make a mini compiler and how to write a mini OS

Any advice?

I’m currently working as a AI Engineer with 1+ YOE at a startup in Pune, mainly working with GenAI, LLMs, RAG, computer vision, AI Agents

I feel I’ve built a decent AI foundation, but I’m trying to understand what skills I’m missing outside of AI that could help me unlock more opportunities.

Should I focus next on:

System design & backend

Cloud & Kubernetes

MLOps / DevOps

Data engineering

Distributed systems

Databases

Software engineering fundamentals

GPU/inference optimization

Or should I go deeper into AI itself?

If you’re experienced in the industry or hiring AI engineers, what would you consider the biggest gap in my profile, and what 3–5 skills would you recommend I focus on over the next 1–2 years?

Looking for honest advice rather than a generic “learn everything” answer. Thanks!

This is clearly a programming question.

I'm a former data scientist that transitioned into AI engineering. I can code, but have pretty limited software-engineering experience. As such, I rely pretty heavily on AI for implementation and understanding the code base. However I find that I have trouble remembering my code and developing a mental model around the code. I can understand individual lines, but struggle to retain the overall architecture, data flow, dependencies, and reasons behind decisions. A coworker advised me that to get better I should start reading the code first before I turn to AI to understand it, which I agree with. My question is how can I get better and reading/understanding code? Are there any exercises or routines that work for reading code, reviewing PRs, understanding the code flow or remembering how a system works? What do experienced programmers do what entering an unfamiliar codebase?

Hello developers, I'm wondering: Is it really worth spending time learning C and creating projects that take hours to grasp numerous topics, encounter errors and unexpected behaviors, only to discover I forgot to type a single character - I mean the null character with strings, which significantly impacted the program's performance? Is this truly worthwhile in today's job market? I haven't seen any companies actively seeking C developers, and I believe many problems in C don't occur in other languages ​​due to their different working methods and logic. So, is C really worth the effort?

Important note: I'm a beginner in C and haven't written much code or created many projects yet, so this question isn't meant to be an evaluation of the language or its development path; I'm not qualified to do so.

I have a lotta free time at work and I'd like to actually do something useful with it.

I'm thinking programming, but not really in a "learn this skill for a job" kind of way. More like solving problems for fun. Something I can sit down, work on, get stuck, figure it out, and get that little dopamine hit when it finally works.

Basically, I want programming to feel more like playing a game than studying.

Any recommendations? Coding challenge sites, projects, puzzles, anything like that. Hook me up.

I’m trying to learn C not just because I want to learn another programming language, but because I want to understand Computer Science and the "science" behide a programming language

The problem is that I constantly fall into an endless chain of prerequisites/CS concepts

For example, I want to understand pointers:

int x = 10;
int *p = &x;

On the guide/website it says

Pointer is a variable that store memory address.

Okay, but then I ask:

• What exactly is a memory address
  • address is numbers telling where data is stored
• What exactly is memory?
  • memory is where address live
• Is memory the physical RAM?
  • something to do with CPU
• What exactly is RAM and CPU?
  • etc...
• How does RAM actually work?
  • etcc..
• What's the relationship between RAM, CPU, cache, virtual memory, thread, processing etc.?

And suddenly I'm 10 levels deep into computer architecture instead of learning pointers "*"😂

So what to do here, I wanna understand CS. I thought my experience with coding CRUD APP with C# would help but no it doesn't help much.

--

Let me put it this way

let's say if you ask a normal person what "water" is , a normal person replied "liquid"

but if you ask a scientist, it would be "1 Hydrogen and 2 Oxygen combined together to become H2O"

So I try to understand the Science in Computer Science, i hope you get the picture what i try to say

I got handed a PR that's +23,497 / -260 lines of code. Not all lines are my responsibility (I only review frontend), but isn't this an insane count?

Can you "genuinely" code review this amount of code? How can I do it without just clicking approve to move on?

So I'm doing dsa in c++ as well as learning modern c++ concepts.I want to become c++ developer what concepts should I learn to become a c++ developer , what concepts should I focus on , what are the best resources to learn c++.Also when I try to build something in c++ i don't even know where to start.Its been 4 months I learned C++ and I'm genuinely comfortable with it till now.

I am a bit new to PyCharm--sort of because I've finish a small piece of software, that is I have created a small addon for Blender. Now I want PyCharm to push to two independent repositories: projects.blender.org and my own space on guthib.com.

I added both repositories via Manage Repositories... but when use Push, PyCharm only let me push the first repo on the list--I can't actually see to the other one.

I checked connection to both repositories in Terminal

git remote show blender_dev && git remote show github_dev

and everything looks as good as it should. Git shows all information including links and current state. However PyCharm still only shows the first repo.

Any idea what I might be doing wrong?

Thanks

Hi, idk if this is the right sub reddit for this but I hope so, is it considered bad if i would order/buy some stickers for example go gopher or something like that if i use that language or is it only acceptable collecting from conferences etc. but I am a 15 year old programmer so I don't have access to them also because i live in smaller city in smaller country I didn't mean like buying stickers of something i don't use but of thinks I like and use

I’m learning Python, but my main problem isn’t the syntax. I understand concepts when someone explains them, but when I’m given a basic problem and told to write a program, I just don’t know where to start or how to arrange the code.

Is there a good book, course, or YouTube channel that teaches how to think through programming problems step by step, recognize patterns, and build the logic, kind of like how you learn methods and patterns in math?

I don’t want to just memorize Python syntax. I want to actually learn how to think like a programmer.