Let me start with a question.
What do you think you are being paid for as a software engineer, now?
Coding, AI. Right?…. You couldn’t be more wrong.
The thing is, it was never coding. You were/are hired to solve problems, and coding is just a way to do that. You are more responsible for understanding problems and offering comprehensive, reliable solutions. That’s where your problem-solving, system design, and core engineering skills come in.
So, this has been the expectation from the companies all along, if you didn’t know that by now.
But now, they expect much more than that.
That’s where being just a good software engineer doesn’t help anymore.
You need to be a product engineer. Here’s how
1) Coding is the easiest part now!
Writing code has always taken you quite a lot of time, right?
You have the requirements. You know what to do, but it still takes time. You need to first implement the requirements, fix the bugs, optimize the code, follow best engineering practices, and then you have to test the functionality and so on.
But now, with AI, you can do the same work in almost half the time.
You don’t need to keep searching on Google or Stack Overflow anymore, especially if you’re using tools like Cursor or Claude. We’ve clearly reached that stage.
The important thing is — you need to realize this. Because companies already have.
They now expect you to do much more than just write code.
2) Focus more on the strategic part!
Again. The billion-dollar question. What are you being paid for?
Strategic Thinking
This is what really matters now — your core engineering skills. Things like system design, architecture, writing clean code, optimizing it, doing proper research, and understanding trade-offs to pick the right solution for a problem.
That’s what companies are actually looking for.
It has always been important, but not all companies have focused on it before. Now, you can’t survive by just writing code anymore. Here are the ways you can get better at the strategic part:
- Learn how to design systems at a large scale → System Design
- Understand tradeoffs among multiple solutions - What suits and what doesn’t
- Writing clean and optimized code.
- Research and go in-depth on engineering concepts
- Read a lot of engineering blogs.ByteByteGo NewsletterExplain complex systems with simple terms, from the authors of the best-selling system design book series. Join over 1,000,000 friendly readers.By Alex Xu
3) Go In-Depth
Let me be honest — if you think you can crack interviews just by grinding LeetCode, that’s not enough anymore.
You need to go deeper into engineering.
Like, can you actually build an app from scratch? Do you understand things like caching, databases (not just using them, but writing SQL), a bit of DevOps, and how deployment works?
Also, you should be comfortable using AI tools.
Hiring has slowed down due to AI and excessive funding, so companies just hire people who already have strong basics and know things. It’s just easier for them to hire someone who can build and ship fast instead of training them.
So yeah, if you want better chances, focus on getting really solid with your fundamentals.
4) Understand Product/Service & Customers
Yeah! I know you will be wondering, “Why??????“. I get it, I did that too
Every company or startup has two main goals: increase revenue and reduce costs.
So how can you, as an engineer, help with that?
Let’s take a simple example. Imagine a customer request worth $4000 that needs to be done in two weeks. It sounds a bit complex.
First, you understand the requirement clearly. You talk with the product and design teams to make sure you know what’s expected. Then you research different ways to solve it, look for possible approaches, identify blockers, resolve them and choose the best approach.
While building it, you also think about costs — like storage, servers, or using AI tools. If the solution becomes too expensive, you discuss it with the product team and adjust if needed.
To do all this well, you need to truly understand the product:
- What problem are you solving?
- Who is the customer?
You’re not just writing code anymore. You’re building something for real users. When you understand both the product and the customer, you can create better, cleaner, and more useful solutions — and that’s what makes you stand out.
And that’s what is expected from you.
5) Own the product/service
Companies are not gonna be hiring you to do the basic stuff like fixing bugs anymore, especially in a startup environment.
You will be given a feature or enhancement to work on, and you need to own it end-to-end. Any questions or issues related to it — you’re responsible. Hence, product knowledge will play a key role here as well.
It’s actually a good thing. When you take ownership, you start caring more about what you’re building. It shows your managers that you can be trusted with bigger responsibilities.
The only way to prove that is by taking ownership and getting things done well and on time. It also gives you a strong sense of satisfaction, knowing your work is making a real impact.
6) Learn how to use AI efficiently
Anyone can use AI now. You don’t really need someone to teach you — it’s pretty straightforward.
But the real question is:
- How do you use it without spending too many tokens or credits?
- Which model should you use for each task?
- How can you use AI tools efficiently?
- How can you save costs?
- How can you automate your work with AI?
That’s what actually makes you stand out. Not many people focus on this.
Just research about it, experiment with it, understand how it works and you will slowly get better.
If you can do all that well, you’re GOLD.
So yeah, things have clearly changed.
It’s no longer just about writing code and getting tasks done. It’s about thinking deeper, understanding the product, using AI smartly, and actually solving real problems.
If you start focusing on these areas, you won’t just be another developer — you’ll be someone who truly adds value.
And that’s exactly the kind of engineer companies are looking for now.
In simple terms, Product Engineer → Engineering + Product + AI