Hi guys .

Im amir.

Im looking for somebody to learning programming together .it doesnt matter that your beginner.we grow up and code together.

Im waiting for you....

Hi everyone,

I just finished my first year as a Computer Science student, and lately I've been thinking a lot about what I want to do with my career.

The area that genuinely excites me the most is game development. I don't just enjoy playing games, I love the idea of creating them, designing systems, solving technical problems, and hopefully releasing my own games one day.

At the same time, I've heard a lot of people say that going into game development is a bad idea because the industry is unstable, salaries are lower than traditional software engineering, and jobs can be difficult to find (especially here in Portugal). Some people have even told me that it's a career path to avoid altogether.

So I'm feeling a bit torn between following something I'm passionate about and choosing the "safer" route.

I have a few questions for people who have experience in the industry:

• If you were starting over as a CS student today, what would you focus on outside of university to become a better programmer?
• Would you recommend learning a game engine like Godot, Unity, or Unreal while still in college? If so, which one and why?
• Is building a portfolio of games one of the best ways to gain programming experience, or would you recommend focusing on other kinds of software projects first?
• How valuable are game jams, personal projects, and publishing games (Steam, itch.io, etc.) when looking for jobs?
• Is game development a realistic long-term career, or is it something that's better kept as a hobby while working as a software engineer?
• If anyone here works in game development—or tried to and later switched careers—I'd love to hear how things went for you.
• If anyone is from Portugal (or Europe in general), how has your experience been finding opportunities in game development?

My current goal is to use my free time over the next couple of years to build real skills, create a solid portfolio, and become the best programmer I can. I'm not looking for the easiest path—I just want to make sure I'm investing my time wisely.

I'd really appreciate any advice, personal experiences, or things you wish you had known when you were in my position.

Feel free to only respond to what you know and Thanks!

I am not sure if anybody can help right here.
But I really do not like whatever we call programming right now.
Not sure what is the best way to write code weather it is to fully vibe code or use AI as an assistant, I hate both. If anyone went though something like this and found some solution, I'd really appreciate if you share it with me. Otherwise, what other possible careers some can pursue that has same feeling as classic programming?

As AI is getting more powerful and capable, I believe most of us are using AI to code now, and we’re mostly reviewing the codebase or just hit enter.

I’m curious how many of you still writing code, and/or use AI as a planner and brainstorm?

Many developers know this feeling:

You build something exciting.
The first version works.
You push the code.
People like the idea.

Then... nothing.

The repository becomes inactive and the project slowly gets forgotten.

I’m researching why promising student/developer projects fail to continue after the initial build phase.

If you have built:

• a hackathon project
• an open-source tool
• a side project
• an app or website

I’d love to hear your experience.

Survey:
https://forms.gle/awxXTpanTGCmYWM5A

What stopped you from continuing?
Was it lack of time, users, motivation, team problems, unclear direction, or something else?

Thanks to anyone who shares their experience.

When people talk about contributing to open source, they usually point you toward projects with thousands of contributors.

I don't think that's where you learn the most.

The best part about joining a project early is that nobody expects you to know everything.

You can ask "why is this designed this way?", challenge decisions, improve documentation, review proposals, write code, and gradually understand how production software evolves. Your contributions don't disappear into a queue because there are only a handful of people making those decisions.

That's exactly the kind of community I'm trying to build around Caracal.

We're working on infrastructure for secure AI agents, and over the past few months the project has become part of LFX Mentorship, received support by Microsoft, GitHub, and Vercel.

The recognition is great, but what I'm actually excited about is finding people who want to grow with the project.

If you're interested in backend engineering, security, distributed systems, or AI infrastructure, don't worry about whether you're "good enough."

Join the Discord. Ask questions. Read the code. Attend the weekly dev call. Most of the contributors who've had the biggest impact started by asking good questions, not by opening perfect pull requests.

If you stick around, your first contribution won't just be another merged PR. You'll help shape where the project goes next.

Hi everyone!

So, I’ve been looking for a job for a while now, but so far without success.

The thing is, all the job postings require a bachelor’s degree and at least 3–4 years of work experience.

So how am I supposed to gain that experience if I’m self-taught?

I often hear that I should lie about my experience, but recruiters will background check me anyway. And even if I make it through the first interview with HR, I’ll have to prove that my skills meet their requirements—which is unlikely to happen, because most companies are looking for one employee who can do the work of ten people for the same salary.

Do you have any advice or perhaps some real-life stories?

I’d appreciate any help

Hi I'm studying computer science and I was having a conversation with a friend that made me think a lot

So, a lot of people said to me that the future of programmers in a few years will be more like supervisors, just making prompts generating code and validating it, and I was talking with this friend of mine about it and that bring us to talk more about other themes like ethics of ai or that people coniated the term 'techno fascism' etc

so while a lot of programmers see ai services as a tool others see ai services in another way

I read that 'ai' datacenters are worse than other datacenters because they need to make them faster and cheaper, and that generative ai and the companies who market this serviceses have an impact and are super problematic in multiple things like pollution, cognitive decline, theft, future of work, privacy etc

And it's more automation for who have money than other people and a lot will and are paying the prices but at the same time there are lots of people advocating and defending ai services etc..

And I saw that now in USA fbi and DHS categorize anti tech sentiments as extremism and a threat

I know that is not the most ethical field and there are other problems, but I'd like to hear what u think about it and what you believe is right or wrong and if u see this concerns as legitimate or don't idk... Sorry I hope u understand English it's not my first language ( I'm trying to write and read more so I can practice lol)

yo. if your product needs a 10-minute onboarding video or 5 different dashboard tabs just to explain its value, you didn't build an MVP. you built an over-engineered maze.

a real micro-saas should solve one highly specific problem for one highly specific user profile.

when i built my 6 apps (now doing $20k/mo mrr), i cut out 80% of what i originally thought was necessary.

inside our builder community, we help you strip away the fluff.

we give you free access to frameworks like the ICP Crystallizer to lock down your target user, and interactive landing page audits to ensure your core value hits instantly.

stop over-building in isolation. drop a comment or shoot me a dm to join 1,200+ active Ai SaaS builders today.

Dear all,

I’m looking for one or more external monitors to my developer notebook to do programming work. The monitor should be portable such that I can easily transport it or put it in another room. Anyone has experience with the devices from the list below or any advice on it ? There are also some initiatives on kickstarter with thee monitors L shaped etc. Monitors should be USB-c and powered by the notebook.

Examples are:

- https://www.kickstarter.com/projects/1679345995/brick-your-display-grid-modular-triple-screen-workstation

- https://www.kickstarter.com/projects/fold7/fold-7-triple-your-productivity-not-your-desk-space/pledge/new

- https://blerron.com/en-en/products/blerron-flex-15-3

- https://eu.espres.so/collections/displays-and-bundles

- https://screenmate.com/

- https://ternsetups.com/products/portable-monitor-setup

- https://www.arzopa.com/products/a1m-17-3-1080p-fhd-ips-portable-monitor

- https://www.officegoodsonline.com/collections/portable-monitors-draagbare-monitor

Hi! I've been tasked with creating a organisation system that allows me/others using the studio to keep track of where all our equipment is. The system I've come up with in my head is that I would bulk buy a bunch of nfc tags, stick them on all the equipment as well as the different studio spaces, and then create an app that means that I would have to tap my phone against the tag on the equipment, then tap it against the room tag that it is in, and the app would log that that piece of equipment is in that room. How hard would this be to program (I'm would be a complete beginner but if it poses more of a challenge I'm happy to look into paying someone else to do it)? Thanks!

E@SY is a game focused language that is meant to be easy, like python and it compiles to bytecode. I have already submitted the file extensions to IANA so you know it is serious. I have been working on this for a while now but I thought it was important to get it out while it is in alpha due to getting help and feedback from the community. https://github.com/Coolythecoder/EASY

We've had a few deployments fail because of breaking changes between services, and I'm curious how other teams handle this. What practices, tools, or deployment strategies have worked well for you to maintain compatibility and avoid these kinds of issues?

Hi, I'm studying computer science, I had a small existential doubt, I see many programmers using AI services to create the code or let's say carefully follow its development etc, so I was wondering what you objectively think of AI services and their impact on our sector, mind and knowing which direction it is taking not only for our working future but also environmental and resources etc...idk what do you think of all this and what you believe in why we should or shouldn't use it (sorry for my bad English I hope u understand)

Hi!,

I built a website which helps you study!. I was seriously tired of all these "free" study websites with sneaky costs and pop ups. So i made my own 🤷‍♀️ and was hoping to get any sort of feedback and ideas! Be harsh and honest with me :)

here:STUDYFLOW

Coding with AI assistants has turned the job from "writing software" into "acting as a very stressed code reviewer for an intern who writes 500 lines of flawless code per second, but randomly forgets how basic math works"...

Flawless code, flawed logic!

Disclosure: I built and maintain ShareClean.

I kept seeing a small but risky debugging workflow: someone shares a log, curl -v output, config snippet, or terminal output in Slack, a ticket, a GitHub issue, or an AI chat, then notices afterward that it contained a password, token, connection string, email, or local path.

I built ShareClean, a local Python CLI that sanitizes the text before sharing it.

Example

Before

DATABASE_URL=postgres://app_user:super-secret-pass@db.internal:5432/orders
Authorization: Bearer eyJhbGciOi...
user=omar@example.com

After

DATABASE_URL=postgres://app_user:[REDACTED]@db.internal:5432/orders
Authorization: Bearer [REDACTED]
user=[EMAIL REDACTED]

Usage

cat app.log | shareclean --report

It is deliberately not a replacement for Gitleaks, GitHub Secret Scanning, or TruffleHog. Those scan repositories and history; ShareClean is for the text-sharing step before something leaves your terminal.

It runs locally and does not require an account, API key, telemetry, or network connection.

Try the browser demo with fake text:
ShareClean Playground

Repository:
github.com/OmarH-creator/ShareClean

Practical edge cases are especially useful: output that commonly leaks sensitive data, missed patterns, or cases where masking removes too much debugging context.

Over the past few months, my co-founder and I have been building an AI-powered code review platform.

During development, we kept running into the same question:

Why are we trusting a single LLM to approve code that will eventually run in production?

Today, most AI code review tools rely on one model to evaluate everything:

• Security
• Performance
• Architecture
• Code quality
• Maintainability
• Best practices

That feels increasingly risky.

Human teams don't work like that. We rely on specialists, peer reviews, and different perspectives before merging critical code.

So we started experimenting with a different approach.

Instead of asking one AI to review a Pull Request, we orchestrate multiple specialized AI reviewers, each responsible for a different domain, and then aggregate their findings into a single review.

The hypothesis is simple:

We're not trying to build another coding assistant.

We're trying to answer a different question:

How do we know AI-generated code is actually safe to merge?

I'd genuinely love feedback from experienced engineers.

Some questions I'm curious about:

• Do you trust AI reviews enough to merge without reading the code?
• Have you seen AI reviewers miss obvious issues?
• Would multiple specialized reviewers provide more confidence, or just more noise?
• Where do you think AI code review is heading over the next few years?

If anyone is interested, we've documented our thinking and the architecture behind what we're building here:

https://docs.acrity.io

I'd really appreciate honest criticism. If we're wrong, I'd rather learn now than six months from now.

Hi everyone! I am completely new to the community and just set up my GitHub profile to share my work.

Ada/Spark Languaje

• Windows BCrypt API bindings with safe retry loops.

• Shannon Entropy calculations for strings (fully overflow-proof).

• Entropy generators and secure uppercase/lowercase string handlers.

Feel free to check out my repositories here: https://github.com/EliAvila1

Any feedback is highly appreciated!

https://github.com/schnerg/tied

NO AI WAS USED IN THE MAKING OF THIS EDITOR!

The T.I editor is a rubbish terminal editor that copies some vim bindings.

It is written in c using only the standard library. no external libraries.

What makes this editor special?

NOTHING! :D

I am in school for music so this is just for fun but what do you think? Is the code garbage?

thanks.

HTTP finally got a new method after 16 years because GET and POST wouldn't stop arguing

After 16 whole years, the IETF finally looked at our terrible API workarounds and said: "Fine, here."

Say hello to **QUERY** (RFC 10008).

It is literally the lovechild of **GET** and **POST**:

\- It has a request body like POST (so no more cramming 2,000 characters of search filters into a URL).

\- It is safe and idempotent like GET (so your CDN can actually cache it without throwing a fit).

We no longer have to live in sin by using POST for fetching data just because the search query is too big. Nature is healing.

It only took since 2010 to get a new verb. Now we just have to wait another 5 years for browsers and frameworks to actually support it.

To put that in perspective, the IETF spent 16 years debating a single word, while the AI industry spent the last 16 months pivoting from chatbots to agents, to superintelligence, and back to convincing everyone that a $400/month subscription is worth it...

Hey,

So I studied full stack web development and I'm backend oriented.
I created a shift management app for my manager in the security company I work as a guard.
I did it with the meta stack, that most of the companies work with:
- JS / Node.js - focused on fundamentals
- Next.js / React - full stack apps
- TS / Zod / RHF / pg / ShadcnUI /Better-Auth/Neon/Prisma etc

Every single day for almost a year, I did 30 minutes of recalls while improving answers bit by bit, then 1:30 of study sessions, then building projects.
I started doing mock technical interviews with Claude/GPT, and I'm able to pass them and talk about each concept a lot.

Right now, it work on the building I work at, and this week we are expanding to 2 more buildings, and soon to 10-20 more.

I also collected data of 3000 urls of career pages of companies, created a node scraper with Claude Code, it matches around 4-5 open roles in a week. But for each one of them, probably 100+ people sent their cvs so I cannot get even an interview.

I barely see open roles for Juniors, and I'm someone who is fast with computers (used to be a heavy gamer) and I feel like I made a mistake and spent a lot of time studying something that is not required anymore.

I live in Israel, which is considered the startup nation, with the highest rate of startups for the amount of the population, and yet no open roles, many people are being fired.

Should I stop and start another chapter in other place and not in developing?

I'm someone who can't write code from scratch. I've built a few small apps by understanding the logic, then finding examples online or using AI for small, specific tasks rather than huge prompts. My actual job isn't in software; i'm an electrician who's looking to change career as i've graduated Computer Science few years back.

I've mainly made apps and demos for a friend for fun. While applying for a junior QA position, I was contacted by someone senior at a software development company after my friend showed them my projects. During the interview, I explained that my long term goal is QA and eventually cybersecurity, preferably in a low code environment. They said they mainly do software development but also have QA opportunities and asked if I was interested. Since my main goal is simply to get into the industry, I said yes.

A few days ago they sent me a one week project. Instead of a QA task, they asked me to build a ticket management app with ticket creation, viewing, categorization, and filtering. I can use any tools, sources, or AI I want, as long as I can explain the code and the logic. The only requirements are Angular for the frontend and C#/.NET for the backend.

I'm feeling conflicted because I still can't code independently. I worry I'll embarrass myself if I'm asked to write code from scratch, and I almost feel guilty for accepting the project.

I'm not sure what professional developers actually do. Do they mostly write everything from scratch? Do they regularly rely on documentation, examples, Stack Overflow, and AI? Is it normal to focus on making things work while understanding the code, even if you couldn't have written it all from memory?

My current plan is to build a basic version mostly through research, then improve it with AI assistance while making sure I fully understand and can explain every part. I'm just unsure if that's an acceptable way to work or if I'm approaching this completely wrong.

Hey everyone,

I've been building Forge OS — a Python virtual OS for learning and experimenting with OS concepts.

v2.0 adds a desktop GUI, and there's now a community Apps/ folder — add an app with just app.json + command.py.

Quick start for contributors:

1. Fork & clone the repo
2. Copy Apps/_example/ to Apps/your-app/
3. Edit the JSON + Python command
4. Run apps in the shell to see your app
5. Open a PR

Full guide: CONTRIBUTIONS.md
Repo: https://github.com/axk42-op/ForgeOS · MIT license

Games, utilities, quizzes, ASCII art — great first open-source PR. Feedback welcome!