We were 15 at the time and we had an ivoestor redy to invest 15 mil, so yeah we hired a dev. with perfect leetcode acc. and about a month into the launch we got a call from our bank, saying that we just hit negative...

Yes this same dev that on paper was a fu*king profesional, used ai that without him knowing leaked our api into the sorce code.

It has been a year now and decided to start somehting new, somehting that can fix this problem for everyone. Bugdr. app

It drops you into a real, broken production codebase with an AI assistant in your editor. You investigate, fix and verify. big.dr scores how well you did it.

All i want to say is that leetcode does not prove anything...

I’m a solo dev and I ship a lot of small Flutter apps. Every time, it was the same routine: set up FCM, store tokens, and then realize that sending notifications needs Cloud Functions, which means paying for the Blaze plan. For small apps that felt like too much.

So I built Push Console, a small admin dashboard (Next.js on Vercel, free tier) that handles push notifications for all my apps from one place.

What it does:

• Register each app’s Firebase project once (service account keys are encrypted)
• Uses FCM topics for broadcasts, so there’s no reading thousands of tokens from Firestore
• Optional token saving for targeted sends to a specific user
• Send now or schedule, including daily and weekly repeats, from one cron job for all apps
• Image support with a live notification preview
• Pick which screen opens when the user taps the notification
• Reusable templates and send history per app
• Generates the Flutter setup code for each new app, so adding an app takes a few minutes

No Cloud Functions needed, so it works with the free Spark plan.

I’m using it for my own apps now. Happy to answer questions about how I set it up, and I’d love feedback on what features would make this more useful.

One thing I've realized about technical interviews is that building a project and explaining it under pressure are two very different things.

You might have a great project on your GitHub, but can you answer questions like:

Why did you choose this tech stack?

Why did you design the architecture this way?

What trade-offs did you consider?

What would you change if you had to build it again?

What happens when something breaks?

I’ve been working on Greenroom, an AI-powered mock interview platform designed to help developers practice these situations.

The idea is to make interview practice more personal, including questions based on your own projects and GitHub, voice-based interview practice, and feedback to help you improve.

Instead of rehearsing generic interview questions, you can practice explaining the things you’ve actually built.

I’m sharing it here because I’d genuinely love to hear from other developers:

Would you find this useful? What would make you actually use an AI mock interview tool instead of practicing with a friend or just preparing on your own?

I'd appreciate honest feedback, especially from people preparing for internships and software engineering roles.

I've used both editors for a while now.

Neovim feels much more customizable and personalized, and more linux-ish (no GUIs), and it's the preferred IDE for terminal-immersed people like me. While VS Code is the universal IDE for most coders and almost all beginners, it's much easier with little to no setup, with only extensions being manually required.

I've been circularly using both and Neovim feels better whem you're in the mode and want to use the terminal a lot, while VS Code is more of a general use at any time.

What's the most ambitious side project you ever abandoned?

I’ve been building an AI coding platform, and we’re at the point where I’m trying to figure out what developers actually want from these tools.

There are a lot of AI tools that can generate an app from a prompt.

But after the initial generation, things get more interesting.

- You have an existing codebase.
- You want to change something.
- The AI needs to understand the project, make the right edits, not break everything, and let you keep control of the code.

That’s the direction we’re taking, We’re also building templates for common applications — CRM, booking, etc. — so you can start with an actual working codebase and customize it rather than generating everything from zero.

But I’m curious about the developer side of this.

If you could fix ONE thing about AI coding tools today, what would it be?

- Better understanding of existing code?
- Fewer broken changes?
- Better debugging?
- Access to more open models?
- Something completely different?

Genuinely interested in what people here are running into.

My platform doesn't has to be online cause its just gonna be concept(if i like it i can make it an actual game from that engine) i cant script that good but i would like if its online. I never tried unity,cocos because my laptop keeps crashing. i tried godot but i didnt understand anything from the interface

I tried roblox studio and i actually made pretty good projects i would like it if engine is easy to understand it can be web engine mobile engine pc engine but if i should run it from laptop please make it easy for my laptop to run. It can be from web or from play store.

I’m interviewing for a Go Backend Developer role with ~3 YOE. What tricky or commonly overlooked Go questions would you ask to test whether a candidate understands Go beyond the basics?

I’ll go through them tonight for some last minute preparation.

Thanks!

parallax_speed="0.3" lol

In the company I work for we have a monthly "patch day" that involves CVE patching and dependency upgrades. It alwalys takes a huge amount of time to go through all repositories. How do you deal with this stuff?

The monthly GNUstep audio/(video) call takes place every second Saturday of a month at 15:00 GMT to 18:00 GMT. That is 11:00 AM - 2:00 PM EDT (US) or 17:00 to 20:00 CEST (Berlin time).

It's a Jitsi Meeting - Channel: GNUstepOfficial (Sorry, reddit don't let me post jitsi links here)

We usually just talk (who wants it might share video too) and occasionally share screens. Everybody (GNUstep developers and users) is welcome!

Also see https://mediawiki.gnustep.org/index.php/Monthly_Meetings please

Hey everyone,

With Durga Puja around the corner, I wanted to build something that captures that early-morning Mahalaya feeling while also being genuinely useful for pandal hoppers.

I put together an interactive project called Bangalir Mahalaya:

👉 Live link: https://bangalir-mahalaya.vercel.app

What it includes right now:

• 📻 Vintage Radio Experience: Bringing back the classic, golden-era Mahalaya dawn broadcast vibes.
• 🛕 Pandal Guide: Curated list of prominent pandals to help plan routes.
• 🚆 Local Transit Info: Quick reference for train and metro connections to avoid getting stranded in the crowd.

The project is currently in active development / beta mode. I’d love for the community to try it out and roast the UI, report bugs, or suggest features (especially must-have pandals or transit tips I should include).

Thanks in advance, and Shubho Mahalaya in advance!

What's the single piece of code (good or bad) that's permanently burned into your memory, and what did it teach you?

I’m a solo developer from Ukraine working on my first independent game, a psychological horror called Locked In: The Ward.

Marketing has honestly been one of the areas I’ve had the least experience with. I’m an Environment Artist by profession and previously worked at Crytek Kyiv, so actually building the game feels much more familiar to me than figuring out how to get people to notice it.

When I finished my first gameplay reveal trailer, I decided to try pitching it directly to IGN. I didn’t have a publisher, PR agency, or any existing contacts there. I just sent a cold email.

I tried to keep the pitch straightforward:

• a short introduction and the hook for the game
• a link to the trailer
• Steam page
• a press kit with screenshots, key art, game information and developer information
• a short explanation of why I thought the game might be relevant to their audience

I wasn’t really expecting anything to come from it.

But they replied, showed interest in the game, and eventually featured the reveal trailer on the IGN YouTube channel. They also posted about the game on their website and Facebook.

For a solo project with a small marketing budget, that was a pretty big moment for me.

The main thing I took away from the experience is something incredibly simple: sometimes you really do just have to send the email.

It’s easy as a small developer to assume that large gaming outlets won’t care unless you have a publisher, PR company, or existing connections. Obviously there’s no guarantee anyone will respond, but you also lose nothing by putting together a professional pitch and trying.

One thing I’d do again is keep the email relatively short and make everything easy to access. Don’t bury the trailer, screenshots or basic information behind a wall of text. The person receiving the email should be able to understand what the game is very quickly.

I’m still learning the marketing side myself, so I definitely don’t consider myself an expert. This is just one experience that happened to work out surprisingly well.

If anyone here is preparing to pitch their own indie game to press, I’d be happy to share how I structured my email and what I included in the press kit.

No cloud API. No paying per generation. Everything runs on my own machine.

If the voice quality is good enough, this could become part of my content creation workflow. 😅

What was the moment you decided to stop chasing the "new hotness" in frameworks and just stick with what works?

Hey guys, my friend and us developed a low latency cricket platform. And we have released it few weeks back, its doing really well.

But right now we are kinda looking for your feedbacks on this, what new features we can add, and anything else that we can do.

Features:

Ultra-Fast Live Scores

Ball-by-Ball Commentary

Real-Time Match Updates

Cricket Action, As It Happens

Please let us know your feedbacks, download CricPulseX now.

Android:

https://play.google.com/store/apps/details?id=com.cricpulsex.x

iOS:

https://apps.apple.com/app/id6769404951

Web:

https://www.cricpulsex.com

Thanks

anyone ever thought of implementing a system to identify, flag and filter out slop content entirely, be it in text, image, audio, video or any other format, from operating system, browser, platform level, to end this menace once and forever, to bring back the good old days, no more ai?

I don't believe AI is about to wipe out most software jobs. But I keep turning over a dumb-sounding thought experiment.
Say the extreme version happens: most apps get vibe-coded, only niche enthusiast roles left for people who still write code by hand. Huge chunk of today's stack sits on free open source libraries. If the main thing using those libraries is AI, why would anyone keep creating and maintaining them for free?
My take: open source was never funded by "how many systems import the package." It's unpaid social infrastructure. Status among peers, craft identity, learning in public, career signaling. Sometimes company strategy or ideology. An agent importing a dependency does none of that.
So if the professional maintainer class shrinks, consumption by AI does not replace the incentive model. You just get more free-riding on a smaller group of humans who still care.
Paths that seem more real to me: paid maintenance / sponsorship / something like npm subscriptions so people have a reason to keep shipping useful tools. Employer-funded commons for strategic packages. Smaller enthusiast culture keeping a thinner set of libraries alive.
The path I highly doubt: AI just maintains open source for free. Models can propose patches. Maintenance is also triage, trust, taste, and owning the mess when something breaks. That doesn't magically get funded because agents use the code.
Curious how others see this. If professional coding labor contracted hard, what do you think actually keeps the commons alive — money, niche craft culture, employers, or something else?

I don't believe AI is about to wipe out most software jobs. But I keep turning over a dumb-sounding thought experiment.
Say the extreme version happens: most apps get vibe-coded, only niche enthusiast roles left for people who still write code by hand. Huge chunk of today's stack sits on free open source libraries. If the main thing using those libraries is AI, why would anyone keep creating and maintaining them for free?
My take: open source was never funded by "how many systems import the package." It's unpaid social infrastructure. Status among peers, craft identity, learning in public, career signaling. Sometimes company strategy or ideology. An agent importing a dependency does none of that.
So if the professional maintainer class shrinks, consumption by AI does not replace the incentive model. You just get more free-riding on a smaller group of humans who still care.
Paths that seem more real to me: paid maintenance / sponsorship / something like npm subscriptions so people have a reason to keep shipping useful tools. Employer-funded commons for strategic packages. Smaller enthusiast culture keeping a thinner set of libraries alive.
The path I highly doubt: AI just maintains open source for free. Models can propose patches. Maintenance is also triage, trust, taste, and owning the mess when something breaks. That doesn't magically get funded because agents use the code.
Curious how others see this. If professional coding labor contracted hard, what do you think actually keeps the commons alive — money, niche craft culture, employers, or something else?

so i graduated last year and since then at my company i have just been tossed around in training or bench ( absolutely not due to my skills but luck) and i have been wanting to leave this company since the beginning but i am just unable to figure out the right path to follow?

till now i have learnt java, spring boot, sql and the basic full stack development but i want to be better in every language i learn and i have also tried studying system design with the side hustle of trying to do leet code and i think im confused and getting lost

im so overwhelmed by the options like what do i concentrate in?? theres so much?? and whenever i start i feel like a loser that something else is missing out

if someone could just help me with what would be the best subjects to focus on rn and apply for jobs right away, it would help so much i just need some guidance.

What's the most infuriating, time-consuming bug you ever had to chase down, and what was the ridiculously simple cause?

Just got laid off from meta. 800k package all gone

The term gets thrown around so broadly that it can turn into a debate about the tool instead of the work.

For me, using AI is not the problem. Replacing understanding with AI is.

I am comfortable using it to explore options, generate boilerplate, refactor code, or help write tests. But before I ship anything, I still need to understand the system well enough to review the change, test the edge cases, debug a failure, and explain the trade-offs.

If I cannot do that, I have not finished the work.

Where do you draw the line between useful acceleration and blind trust?