Don’t Choose Software Engineering, Until You Read This

Five uncomfortable career truths about coding, high salaries, AI, and finding the right place for yourself in tech

Image: Don’t Choose Software Engineering, Until Read This

A software career can pay well.

It can also leave you staring at a production dashboard at 2 a.m., wondering why the application works everywhere except production.

You should understand both sides before spending months learning DSA, web development, or cloud engineering.

When I first learned programming, I assumed the difficult part would be writing code. After building a few real applications, that assumption fell apart. Writing the function was often the easy part. Understanding requirements, securing the API, debugging deployment failures, reviewing somebody else’s changes, and maintaining the system were harder.

Software engineering remains a promising field.

The US Bureau of Labor Statistics projects software developer, QA analyst, and tester employment to grow 15% between 2024 and 2034.

But “growing field” does not mean “easy career.”

Here are five questions worth answering before you enter it.

1. Are You Choosing Software — or Following the Crowd?

A classmate announces a new job. LinkedIn shows the joining kit. YouTube shows the salary.

Nobody uploads a screenshot of the six-hour debugging session that produced a one-line fix.

Peer pressure can get you through a course. It rarely carries you through years of changing frameworks, failed deployments, vague tickets, and unfamiliar codebases.

That does not mean you must enjoy every LeetCode problem. It means there should be something about technology that holds your attention:

  • Building useful products
  • Investigating how systems fail
  • Automating repetitive work
  • Designing intuitive interfaces
  • Finding patterns in data
  • Explaining technical ideas clearly
Quick test: Remove salary, status, and family expectations from the decision. Would some part of this work still interest you?

2. Do You Think Getting Placed Will Be Easy?

The old formula looked simple:

Degree → Basic coding preparation → Campus placement → Stable career

The newer path contains more variables:

Fundamentals → Portfolio → Specialization → Interviews → Continuous learning → Repeated adaptation

Companies can hire two graduates from the same college at very different compensation levels.

The differentiator is often evidence of skill: projects, debugging ability, communication, fundamentals, and how independently a candidate can solve unfamiliar problems.

AI adds another complication. It can generate code quickly, but somebody still has to determine whether that code is correct, secure, maintainable, and appropriate for the product.

That is why “I can generate an application” and “I can engineer an application” are not equivalent.

3. Do You Think Software Is Only About Coding?

Consider this beginner-friendly Express endpoint:

app.post("/orders", async (req, res) => {
 const order = await db.orders.create(req.body);
 res.json(order);
});

It creates an order. It also trusts everything.

A production version has more responsibilities:

app.post("/orders", authenticate, async (req, res, next) => {
 try {
 const input = orderSchema.parse(req.body);

 const order = await orderService.create({
 ...input,
 userId: req.user.id
 });

 res.status(201).json(order);
 } catch (error) {
 next(error);
 }
});
  • Authentication prevents anonymous access.
  • Validation rejects malformed input.
  • The service layer keeps business rules outside the controller.
  • Central error handling makes failures observable.

The code is still short. The thinking around it is not.

That is also why tech offers far more than a single “developer” track:

Image: What to do with what interest

4. Are You Entering Tech Only for the Salary?

High compensation is real. The missing context is what employers are paying for.

They are rarely paying a premium for typing faster. They pay for scarce skills, sound decisions, ownership, domain knowledge, and the ability to reduce expensive risk.

The surprising part is that AI may make this distinction clearer.

US employment projections show a contrast: software developer roles are projected to grow, while the narrower “computer programmer” category is projected to decline by 6% from 2024 to 2034.

These categories are imperfect, but the direction is instructive — producing code is only one part of engineering.

GitHub’s research also found that developers using AI often redirected saved time toward system design, refactoring, and optimization — not simply producing more code.

The myth: AI makes software engineering effortless.
The reality: It can reduce implementation time while increasing the value of judgment.

5. Are You Living Someone Else’s Career Plan?

Parents often recommend engineering because it appears safe. Their concern may be reasonable. Their conclusion may still be wrong for you.

Before committing, run a small experiment:

  1. Build one complete project, not another tutorial clone.

2. Add authentication and persistent storage.

3. Deploy it.

4. Ask five people to use it.

5. Fix the problems they discover.

6. Notice which part you enjoyed — and which part you repeatedly avoided.

This gives you better evidence than a personality quiz.

What Changed for Me

The most useful realization was that I did not need to love every part of software.

I could dislike competitive programming but enjoy backend architecture. Another developer might dislike infrastructure work and become excellent at product design.

The goal is not to force yourself into the most visible role. It is to find the problems you are willing to keep solving after the novelty disappears.

Final Takeaways

Do not reject software because it is difficult, and do not choose it because it looks easy.

Instead:

  • Test your interest through a real project.
  • Explore roles beyond conventional development.
  • Build fundamentals before depending on AI-generated code.
  • Evaluate compensation alongside workload and responsibility.
  • Choose a path that fits your strengths — not someone else’s expectations.

Software can still be a strong career. The better question is: Which part of building technology would you continue doing even when nobody is watching?

From Tech By Neha Gupta

  • 👏 Enjoyed the article? Don’t forget to leave a clap.
  • 💬 Have thoughts or questions? Share them in the comments.

Before you go

  • Please take a moment to like the post and follow the writer!
  • Did you know that over 400,000 developers share what they’re building, learning, and discovering across our platforms every month? Learn how you can contribute here