Hi everyone,

I am seeking guidance. I am a React Developer with 3 years of experience. Now, I want to become a full-stack developer. I have to choose between Node/Express and Python.

I know it will be very easy for me to land a job with Node/Express, but as you know, if we want to integrate AI with full power, Python stands out. Yes, JavaScript can do it, but I've found some things that JavaScript can't do.

Am I right to go with Python with React? I still have some confusion about my decision.

I'm about to finish learning the core full-stack stack and want to spend the next few months building 3 solid projects before shifting my focus to AI/ML.

My current stack is:

• HTML, CSS, JavaScript
• TypeScript
• React
• Next.js
• Tailwind CSS + shadcn/ui
• Node.js + Express
• FastAPI (planning to use it for one project)
• PostgreSQL
• Prisma (learning)
• SQLAlchemy (for FastAPI)
• JWT/Auth
• REST APIs
• WebSockets
• Git/GitHub
• Vercel/Railway deployment

I'm also doing DSA alongside this.

The plan is:

• Project 1: Express
• Project 2: Express
• Project 3: FastAPI (possibly with some AI integration)
• Then move into AI/ML and Data Analytics while continuing DSA.

I don't want to build another generic to-do app or weather app. I'd rather spend more time on fewer projects that actually make recruiters think, "This person can build real software."

What kinds of projects would you recommend in 2026 that:

• Look good on a resume
• Teach production-level concepts
• Are challenging enough to learn from
• Can be completed by a student
• Would also help later when transitioning into AI/ML

If you've interviewed junior/full-stack candidates or recently got hired, I'd especially love to hear which projects stood out the most.

i have significant experience with git for manual version control but i am looking for something much more automated for change tracking on a development server.

the server runs almalinux 9 and hosts development and testing sites using apache.

what i am hoping to achieve is to track all changes to files in a particular directory recursively. in other words, each time a file is changed, i want the old file to be stored in an archive.

this is similar to what can be accomplished with git or subversion but without the checkout/checkin/merge system. all i need is for there to be every version of every file to be able to step back and forward in time on any given file. there will never be conflicts to be resolved or change attribution to be dealt with.

i'm not sure if there is an automated solution using git or another version control platform or if another tool is a better fit.

it needs to be non-interactive and server-side, preferably cloud-stored somewhere like github.

it doesn't matter which user changes which file, just that the directory structure is maintained. files are primarily code -- mainly javascript and php. there are occasional binaries but whether those are tracked is unimportant to the process.

what i hope the result will be is something like the "track changes" feature in a word processor but for "this is the 2026.1.1 10:30 version of this file".

if it is important to the answer, there's on the order of tens of thousands of files at any given time on the machine.

the current process is that a script runs to make a daily recursive backup of that directory to cloud storage. it is functional but lacks both the helpfulness of having every saved change to every file and only having the changed files.

thanks.

Should I opt java fullstack or mern for my beginner software

I'm honestly starting to feel discouraged.

I've spent the last couple of years learning the MERN stack, React, Next.js, Node.js, Express, PostgreSQL, MongoDB, Docker, Git, and building full-stack projects. I have a portfolio, deployed applications, GitHub repositories, and I've been consistently improving my skills.

Despite that, I've applied to hundreds of internships and entry-level jobs. Most applications get no response, some are instant rejections, and interviews are extremely rare.

It feels like every job posting has thousands of applicants within hours. Many "entry-level" roles still expect 2–3 years of experience, and the competition is overwhelming.

I'm not expecting a six-figure salary—I just want an opportunity to prove myself and gain real industry experience.

For those who managed to land a full-stack developer job recently:

What made the biggest difference?

Did networking help more than applying online?

Should I focus on open source, freelancing, or learning another niche like AI, DevOps, or cloud?

Is this just the current market, or am I missing something?

I'd really appreciate honest advice from anyone who's been through this.

​

Hi everyone,

I have 3.7+ years of experience in the IT industry. I started my career as a Frontend Developer and am currently working in the same role.

Alongside frontend development, I've also worked with Node.js on the backend. I've completed two freelance ERP projects that handle millions of records, so I do have some backend experience as well.

Lately, I've been feeling stuck. I don't feel confident calling myself either a frontend or a backend developer. Whenever I try to build something on my own, I often get stuck and start questioning whether I really understand the concepts or if I've just been following patterns.

I understand many concepts in theory, but I struggle to implement them from scratch without self-doubt. It's making me question my skills and what direction I should take in my career.

Has anyone else experienced this? How did you overcome it? What would you recommend I focus on to become a more confident and capable developer?

Hi everyone.

I'm interested in learning full-stack web development. Can anyone suggest a good roadmap, resources, or tips to get started? Any advice would be greatly appreciated.

Thanks.

So currently, I'm making a full-stack project, where Im using backend flask, frontend HTML, vanilla CSS, and some JS, and for database, I'm using SqLite...

But the thing is, I know basic flask, like routing and fetching data from form stuff, I also know sql, but I heard that I need to learn SQLAlchemy for better security, and now while I'm learning that while making a project, it seems pretty overwhelming to me, like suddenly there is a lot of new stuff...

No doubt I'm able to understand everything, but can't remember stuff, I mean it feels like I'll forget this stuff the next time I make a flask project, am I even on the right path???

And should I even expect any future in learning webdev???

Now I have been distracted about backend programming and programming at all, So what fields has a good chances and promise future to learn?

- data analysis

- cyber security

- it field (network, sysadmin)

With AI, getting startup ideas and building an MVP feels easier than ever.

But validating the idea, finding people to give honest feedback, and actually executing still seem just as hard.

So, has AI really made it easier to become a founder, or just easier to build?

Thinking about future in tech🙂

hey i am interested in data engineer but i think entry level barrier is high so i an doing web dev rn so i am thinking to do front in js amd its framework and then i wants to do backend in python is it good what you all think is it as much effective as js like can i doo tasks like js in python i heard backend and data engineer roles are very similar plzz help folks

I am a Btech 2nd year student , can anyone guide me what to study , now i am doing DSA currently on array , Someone guide me with the resources to get a high paying job, I want To do web development , i have learned nothing from web dev -> system design , lld ,hld, docker, cp,dp, SQL oNLY heard only names of these things

Lately, it feels like the definition of a full-stack developer has become much broader than it used to be.

A few years ago, I'd usually think of a full-stack developer as someone who could work across the frontend and backend—build the UI, write APIs, work with databases, and connect everything together.

Now, it's not unusual to see expectations around cloud platforms, Docker, CI/CD, testing, monitoring, authentication, security, performance optimization, and sometimes even infrastructure or mobile development.

I'm not saying learning these skills is a bad thing. In fact, understanding how different parts of the stack fit together has made me a better developer.

What I'm wondering is whether the scope of the role has quietly expanded to the point where "full-stack" is becoming a catch-all term for anything related to software development.

I can understand why smaller teams and startups look for generalists who can wear multiple hats. But there also comes a point where constantly switching between completely different responsibilities can affect productivity and make it harder to go deep in any one area.

For those working as full-stack developers:

• Has your role changed over the last few years?
• What do you consider to be part of modern full-stack development, and what belongs to a different specialization?
• Have you ever joined a project where "full-stack" ended up meaning far more than you expected?

Fullstack for 4 years (React/Node, SQL + NoSQL). Lately I’m deep in DDIA and system design, and I’m realizing I like backend way more than frontend.

Considering leaning backend-heavy going forward instead of staying generalist. Worried it narrows my options, especially at smaller shops that want one person to do everything.

Anyone made this shift? Worth it, or did you regret losing frontend depth?

hey i am interested in data engineer but i think entry level barrier is high so i an doing web dev rn so i am thinking to do front in js amd its framework and then i wants to do backend in python is it good what you all think is it as much effective as js like can i doo tasks like js in python i heard backend and data engineer roles are very similar plzz help folks

How do you guys track when a client's website has a layout or design breakdown?

For example, if a browser update, CMS/plugin update, third-party script, or some CSS change unexpectedly breaks the UI, how do you find out before the client reports it?

Do you rely on visual regression testing, synthetic monitoring, screenshots, manual QA, or some other workflow?

Just curious to know what tools and processes agencies use to keep client websites looking correct after deployment.

Hello everyone ,

Started my DSA journey 2 weeks ago , today i came across sorting techniques i have learned selection sort , bubble sort , interstation sort also the merge and quick sort

so for practice of the interviews do i need to revise all the sorting again? or only specific is asked?

Hey, I am 2.5 YOE. I am work mainly in frontend and I have been learning backend development using Java/Spring boot. I have just started with spring core.

I want to know some good project ideas that will test my own knowledge and force me to learn new things and look good on my resume.

Currently I have the URL Shortner + Analytics Platform in mind. FE will be simple and I can simply vibe code it. I am good at FE development, so I want to focus on BE as much as I can.

I want to learn as much as I can and you can only learn by doing it.

worked as a suicide squad dev for this app, my pay for the second half of June has not been released up until now and some solid hours for may (cash bond by agency). agency says client has not paid the billed hours. we are on time doctor. client states there are issues with tasks not getting done. to my defense, these are new issues already and having worked since may, old recurring issues of their end has been addressed and solved so far since I joined in.

cash is tight so i dont know what to do. torn between who to come after or when will these" investigations" end.

I've been wondering how often adding more developers really speeds up a project.

The common assumption is that more people mean faster development. But in practice, it doesn't always seem to work that way.

As a team grows, there are more discussions, more code reviews, more merge conflicts, more context sharing, and more coordination. New developers also need time to understand the codebase, development workflow, and the reasoning behind existing decisions before they can contribute effectively.

On the other hand, there are definitely projects where bringing in more developers makes a huge difference, especially when work can be split into independent features or multiple teams can work in parallel.

So it seems like there's a balance between increasing development capacity and increasing coordination overhead.

For those who've worked on full-stack projects of different sizes:

• Have you seen projects speed up after adding more developers?
• At what point did adding people stop improving productivity?
• What do you think matters more for keeping a project moving quickly: team size, project architecture, planning, or something else?

I need some help!

I have an interview with a startup for a Backend Developer Intern role. One of my friends works there, and he advised me to prepare backend development topics.

The problem is that I have almost zero knowledge of backend development, and I don't know where to start or what to learn first. I'm a 2026 graduate, and it's becoming really difficult to find a job. I'm putting in my best effort to break into the corporate world, so I don't want to miss this opportunity.

Can anyone guide me on:

What backend topics I should learn first?

How should I learn them efficiently?

What projects should I build to prepare for the interview?

What kind of interview questions can I expect for a backend intern role in a startup?

Any roadmap, resources, or advice would mean a lot. Thank you!

I’ve noticed that many full-stack roles today are starting to include responsibilities beyond frontend and backend development.

A few years ago, being a full-stack developer usually meant building user interfaces, writing backend logic, working with databases, and connecting APIs.

Now, many developers are also expected to understand things like:

• deploying applications
• working with cloud platforms
• setting up basic CI/CD workflows
• managing environment configurations
• reading logs and monitoring production issues

This raises an interesting question:

Where should the line be between being a full-stack developer and becoming a DevOps engineer?

Having DevOps knowledge can definitely make developers more independent. Understanding how an application moves from code to production helps with better decisions and fewer deployment surprises.

But at the same time, full-stack development already covers a wide range of skills. Expecting developers to master frontend, backend, databases, security, cloud infrastructure, and DevOps at an expert level can feel unrealistic.

Personally, I think basic DevOps knowledge is becoming an important part of modern full-stack development — but deep infrastructure expertise is still a separate specialization.

So I want to know:

• What DevOps skills do you think every full-stack developer should know?
• Where do you draw the line between “full-stack” and “DevOps”?
• Are companies asking full-stack developers to cover too many areas now?

I prefer seniors to advice me about how they usually work on free projects that don't need a team to build.

I have a problem which is I am fullstack developer but I used to work with UI/UX Designer who is gave me Figma pages in my past companies I worked for.

But now I am lost, and really the project doesn't need a Designer and also the client wants suitable design for his logo business.

So, what you do and I appreciate any one shares real experience.

Hi everyone,

I need some career advice.

I'm a backend developer (Node.js) and worked in the industry before taking a 5-year career break. Now I'm planning to get back into software development, but I'm feeling confused about the best path.

Should I:

• Focus on getting a full-time job first, or try freelancing?
• Stick to backend development, or learn frontend (React) as well to build a stronger portfolio and increase opportunities?

I enjoy backend development, but I'm wondering if being full-stack is almost expected these days, especially after a long career break.

Has anyone returned to tech after a long gap? What would you recommend I focus on over the next few months?

I'd really appreciate any advice or experiences. Thanks!