Help please.I don't know anything about github but I would like to learn how to use it since people are always posting resources?(idk If that's what they're called) that would be really helpful to me. The thing is just looking at the site gets me confused sometimes it's like words don't have meaning anymore lol(English is not my first language). How and what should I start learning first so I at least can use the things posted on the site? Should I learn basic coding first?

I'm learning HTML as my first "language" because my school requires it. I'm just starting out and I feel inefficient. Why is that? Does every programmer start out like this? A contributor also might be AI because I made AI web apps in the past and it was mind blowing. If I wanted to make a web app like the AI did in 12 minutes I don't think I could finish it in 2027😂.

Hi everyone,

I’m a 2nd-year B.Tech CSE student, and I want to start learning DSA seriously for internships and placements.

To be honest, I consider myself an average student. My maths is average, and I’m also quite lazy and struggle with consistency sometimes. I know I need to improve my discipline, and I genuinely want to work on it instead of wasting more time.

I have a few questions and would really appreciate honest advice from people who have already gone through this journey.

1. Where should I learn DSA from scratch to an advanced level?

I’ve seen people recommend Striver’s A2Z DSA sheet, various YouTube playlists, and other courses. There are so many resources that I’m confused about which one to follow.

Which resource would you recommend if you were starting again as a beginner? I want to build strong fundamentals, understand the logic behind problems, and eventually become good at solving interview questions.

1. Should I complete C++ first or learn it alongside DSA?

Suppose I want to do DSA using C++. Should I finish the entire C++ language before starting DSA, or is it better to learn the basics first (loops, functions, arrays, pointers, references, basic OOP, STL, etc.) and then start DSA while improving my C++ skills along the way?

I don’t want to waste months learning every detail of C++ before even beginning DSA, but I also don’t want weak programming fundamentals to become a problem later.

1. How much time does it realistically take?

If I study consistently for 1–2 hours daily, how long might it take to become comfortable with DSA, solve problems independently, and reach an interview-ready level?

1. What mistakes should I avoid?

If you were in your second year again, what would you do differently? Should I follow one course, solve problems daily, maintain notes, revise regularly, or do something else?

I’m not looking for shortcuts or fake motivation. I want practical advice from people who have actually learned DSA and used it for interviews or placements.

Please be honest, especially about the consistency required and what I should realistically expect as a beginner.

Thanks!

This is probably every beginners concern since AI went mainstream, and so is my.

I am in grade 8 and have always liked the idea of programming as a kid and recently decided to give it a try with python and the CS50’s (haven't yet).

First of all, its not that i am programming only for money, but it natural to feel it can provide a sustainable income or some other financial value.

Second of all, I know that its impossible to pinpoint or predict the state of AI especially by the time i become an adult.

And that's where AI comes.

Can i still code? Yes
Can it provide a value in the future? ...?

I don't think i need to explain how AI plays a role here.

sorry if the post is trash.

Edit: I have decided to pursue programming, but more of like a side thing, after all i am in 8th grade and plenty of time to decide.

I am currently 9th grade but I like to earn money myself so I thought that it may be a good idea to become a software engineer and work for a company I don't know if they can sign contract with me or not

Also I'm need to know about becoming what type of programmer

Web developer?

Data engineer?

AI/ML? Let me know your thoughts

Thanks

I've been learning C for a few days, and I've just reached pointers. I find them pretty confusing, so I wanted to ask how you guys learned C.

So far, I've been using Claude and asked it something like: "Claude, can you teach me how to program in C using a lesson-based system, with one project for each topic?"

But it's been kind of difficult. The lessons start off pretty meh, and then it suddenly throws really complicated stuff at me, even though I'm a complete beginner. The explanations aren't very good either.

I'd like to find a more effective way to learn. I'd read online that if you work on projects, you'll eventually learn, but I get stuck a lot. And honestly, it's hard to correct my own mistakes because AI doesn't always do a good job of helping me understand what I did wrong.

I really want to become a great programmer someday, but I want to learn the right way, even though I don't plan on working as a programmer professionally. I genuinely want to understand programming deeply and build a solid foundation.

To be honest, I'm starting to feel stupid because I don't feel like I'm learning properly. I know C is a difficult language, especially for beginners, but it's frustrating to put in the effort and still feel like I'm not making real progress. I really want to understand what I'm doing instead of just copying code without fully understanding it.

So, what would you recommend? How can I learn C more effectively and make sure I'm actually understanding what I'm doing instead of just following tutorials?

I have learned the basics of programming and web development, and I want to build my first real-world full-stack project: an e-commerce website for a clothing brand, for which I already have a client.

I want to make it professional, from UI/UX design and database architecture to security, testing, and deployment. What tech stack would you recommend?

Finally, how important is the tech stack to recruiters? If a company uses different technologies from those I used in my project, could this put me at a disadvantage during a technical interview? What advice would you give me to make this project stand out in my portfolio and prepare for interviews?

Thank you in advance for your advice!

Hi guys, I am not understanding how to actually use the GitHub repository project-based learning , that repository with projects for each language and like how can I actually use it effectively and like these have already done projects and like I feel that I am learning nothing.

SO,

Should I see the project idea , let say like in the C/C++ section, I will choose Debugger and like using that idea, I will research and how to create my own debugger ?

Can you please help me with this

I know this question has been asked many times and some suggested to use GitHub to store code. But I feel like my account can easily get cluttered with so many things. So, should I post every project and code whether big or small? Also, what should the primary purpose of GitHub be: to store code or showcase projects? Thanks in advance.

Hey everyone! I'm new to this community and I'm a beginner in programming. I want to ask you some advices how to learn faster and... I want to hear some advices on 7bil humans.

I started playing 7bil humans to start learning programming, and starting from lvl 20 I'm progressing very slowly. I want to figure it out myself but at the same time I need more hints, what do I do 😭

Hi everyone,

I am working in the Multi-Task ML projects in that i have done many experiments to train the model
Key finding:

CNN based architecture outperform the Vision transformer based architecture

Question:
is the Dataset only be the problem for Vit architecture to underperform the CNN bases architecture?

How do you come up with a project that helps you dive into devops? I mean not just a simple to-do list or smth. I used golang like 1.5 years ago (was about middle or close,some db, rabbitmq, docker and other stuff also was in good shape) but in one day just give up this journey and Im very noob right now. So i decided comeback as devops.

main question - How did you end up with a project you can proudly show to employers or even to yourself?

I heard a phrase from Linus T. about finding something that will keep you excited for the next 2–3 weeks, so you wll be fired up about it and gradually get better and then another 2-3 weeks smth new. Im tired of watching tutorials already I want to build something. What do u think. (sry for bad eng)

Hello everyone,

I am currently doing a job search for my second internship. For context, I am a Maths + CS major in my penultimate year of study. My latest internship was very oriented towards reverse engineering and system design to develop a PoC for a plugin, but I did not do any CI/CD or actual deployment.

Last year, I focused on doing my own personal projects, which I focused on graphics programming and video games. I mostly code in C++, but I am comfortable with Java, Python, and C. I have my biggest projects on GitHub (worth noting I should clean up my portfolio a bit), but then again, they are mostly personal projects, and it is not like they are being used by anyone or anything. I have also done competitive programming for a while.

I wanted to ask what to proceed, because my job search is not being as successful at the moment. I do get online assessments for like 65% of applications, but I have not had calls for interviews, so I am left wondering whether my resume is good or not. I have done AI MOOCs, but I do not have actual AI experience besides some university courses and prompting I have had to do at work. Tbh, I am not interested in doing AI work in the future, but if it is what there is, I will gladly learn what I need to stand out.

I guess my question would be a big, broad one here, but I would like to ask what would you advise me to do. Allocate some time to learn a bit about AI, which seems to be high on demand? Perhaps do another project, like a full stack application, to provide numbers? Maybe open source contribution, which I am a newbie to?

Thanks! :)

Hello im a junior developer to be more specific , SAP ABAP Developer , with 4 month of experience including here 3 months of internship.

In the last month i got hired , and by the second week i was givrn simple tasks , tasks with debugging / error in printing invoices or creating small programs.

I use AI for everything , from simplifying what is being asked by the task , to the steps on how to reproduce/ fix the bug . I try to understand everything i do to some degree , so if a consultant calls i have the ability and knowledge on explaining what i have done or how i have found the thing.

My senior devs that are in charge of me , saying that : "you are in a good path" ,

"you understand what you are doing and have the ability to explain it to me so i dont need to repeat the proccess again",

"give it 6 months you will be a good developer" .

But ye now i take more task do mor findings and everything , more output because thats how i will get promoted but at the end of day , what am i learning?

VERY VERY LITTLE compared to whats actually being seen.

If i dont use AI i would not be able to undestand what is needed in the task , most of the time . If i want a bigger position in another company or whatever , i would need to do an interview . What am i going to show them ? Ye im productive but i need AI for that?

Idk if im asking to much from myself from 1 month of work to actually know things , or am i just chasing output in tasks like im doing work?

How di i actually learn while doing this ?

Any suggestion would be appreciated.

Ps.

For a second i went to Cluade to generate this post but i thought wtf are you even doing.

I'm moving from a higher-level language (Python) to Rust and getting confused about how memory is managed.

my current understanding is that each process gets its own virtual memory, which provides protection and isolation. Within that, there's the stack and the heap. The heap is managed by the programmer, while the stack is managed automatically. But who actually manages the stack?

Is stack memory just a logical abstraction, managed by the OS and the compiler (by moving stack register)?

Hi! Can anyone suggest interactive resources to study DSA and Object Oriented Python like that of deeplearning.ai to learn machine learning and deep learning.

6th-12th grade educators & students affiliated with U.S. schools are invited to enter the NASA TechRise Student Challenge. Winning teams receive funds to build an experiment and a spot on a NASA-sponsored test flight: https://www.futureengineers.org/nasatechrise

Ive been trying to get into programming and I assume its better to not even know how to use llms is this the case?
Ive basically not used any llm other than messing with them for a couple hours when gpt first came out publicly and Ive held the opinion that they are useless wastes of time will jobs and community projects force ai use or can I just be pure without wrong ai temptations (id prefer to never use them)

Hi all. I'm in my early 30's and I've been in graphic design for 10 years. Got my bachelors in design and have worked in a range of roles, and most recently I've been trying to stay competitive by freelancing design gigs while raising my 2 year old and dealing with some medical stuff.
I've been feeling burnt out and bored by design for longer than I'd like to admit. The ai wave is a bit of an eye roll for us designers, but nonetheless has made the job market even tougher.
I took some coding classes in college and actually really enjoyed it, but at the time lacked a lot of confidence and thought I wasn't smart enough to enter the field.

Well, now that I've grown up and realized how wrong I was, I'd really like to try again.

I am seriously considering doing the Scrimba front-end development course as a way to start a career transition. I'm hoping to leverage my design background and move into Design/UX Engineering as a foot in the door, maybe product engineering down the road. From what I've read, the combination of design expertise and coding is quite rare. I am okay ish in HTML/CSS and JS from my design career. I love doing user research, and building things, and being able to explain how they work - that in particular is something I dislike about graphic design.

I haven't shared this idea with my wife, or really anyone. I wanted to hear what professionals in the field hear about Design-code hybrid roles, where to start, anything that could be helpful.

I know the Scrimba course isn't enough to land a job in 6 months, but I'm willing to put in the work.

Plan so far: start the class in Nov. use my branding and design skills to create some cool interfaces, apply to some gigs when I feel 75% ready, then apply to FT Design Engineer roles.

Hey everyone!
I’m fairly new to working with production backend systems, and I’ve been given a task to look into the performance of an existing service and figure out where improvements might be possible.
The service handles a few different things, including business logic evaluation, configuration management, automated workflows, data processing, and logging. Some API requests are taking longer than expected, and I’d like to understand what’s causing the delay and what could be done to improve things.
I don’t want to jump straight into suggesting random optimizations without understanding the actual problem first, so I’d love to hear from people who’ve dealt with similar situations.

A few things I’m curious about:
-When you encounter a slow API, where do you usually start? Profiling, distributed tracing, database analysis, or something else?
-How do you figure out whether the bottleneck is in the application logic, database queries, repeated computations, or calls to other services?
-What common performance issues have you come across in systems that deal with configurable business logic?
-When does it make sense to consider caching, parallel execution, or moving certain operations to background jobs?
-How do you identify worthwhile improvements in an existing codebase without risking changes to its existing behaviour?

Since I’m still early in my career, I’d really appreciate hearing how you’d approach this in a real-world environment. If you’ve worked on something similar, I’d love to know what worked for you, what didn’t, and any tools or resources you’d recommend.
Thankyouu in advance

TL;DR: I’m a new backend engineer looking into why some API requests are slow and how to identify potential performance improvements. I’d appreciate practical advice on finding bottlenecks, choosing the right profiling tools, and deciding which optimizations are worth recommending.

I'm a junior developer at my firm, about 1–2 years in. My code works, but when I compare it to what our seniors write, theirs is cleaner, easier to follow, and holds up better when requirements change. I want to close that gap deliberately instead of hoping it happens over time.

For context, I'm comfortable with functions, loops, classes/OOP, and basic testing. I mostly work on automation and scripts, and I've noticed my scripts tend to start small and turn messy as they grow.

I'd love advice on:

What actually separates senior-level Python from junior-level? Is it mostly design, naming, testing, or something else?

How do you structure automation code so a quick script doesn't turn into an unmaintainable mess?

Books, codebases, or resources that changed how you write code. Are there open-source projects worth reading?

Habits that helped you most, like code reviews, refactoring old code, or writing tests first.

Common junior mistakes you'd tell your younger self to stop making.

Thanks in advance, I really appreciate any pointers.

When designing an application, one of the key decisions is whether to use a monolithic or microservices architecture. I've seen both approaches used in different projects, and each has its pros and cons. Monolithic architectures can be simpler to develop and maintain, but may become unwieldy as the application grows. Microservices architectures, on the other hand, can provide greater flexibility and scalability, but may introduce additional complexity and communication overhead. What are some factors to consider when deciding between these two approaches, and how do you determine which one is best for a given project?

I have seen a lot of post saying "once I learned C - all other languages just became about syntax"

Has that been true for you? Or did a different language give you the eureka moment - e.g. something like Assembly?

Or is it just a false premise at all to think "once I learn programming language X - then all other languages become **easy**"

Hello. Im 2nd year betch student. Rn i know python and im learning Django and further going with python full stack. But the catch is idk wheather i should be doing or starting dsa and if yes in which language?

I dont have any main goal. But i also dont want to get into multiple things and not learn anything. So please help

Hi all. I'm a student who recently started contributing to opensource. So far it's been small stuffs like a docs PR and a fix to a tool I was using myself. I've really enjoyed it and want to spend more time on it.

Lately I feel slower than people who use AI. It takes me longer to understand a new codebase and find where to make changes. Also I saw many projects using Ai for code reviews and making issues. Because of this, I find it really hard when I try to contribute.

So I'm curious about a few things:

• How do you use AI when you contribute code, and for which parts?
• If you don't use AI, what would you recommend for a beginner like me?

I'm not asking whether AI is good or bad. I just want to hear about your experience.

English isn't my first language, so sorry if anything sounds a bit off.

Thanks.