A Tech Company Says It Will Stop Hiring Engineers. Is AI Changing the Future of Coding?

What happens when a tech company changes the kind of engineers it wants to hire because of AI?

That's the conversation Proton has sparked.

According to reports, Proton plans to stop hiring engineers after 2026 and instead focus on recruiting people who can build products using AI. Its CEO believes engineers will increasingly guide AI, review its output, test solutions and focus on building better products.

• This reflects an interesting shift in software development. AI tools can already generate code, explain unfamiliar codebases, suggest fixes and help developers build features faster.

• But there's one thing worth remembering: AI can help write code, but strong engineering skills help you understand whether that code is actually correct.

This is where DSA, problem-solving and computer science fundamentals continue to play an important role.

Understanding data structures and algorithms helps engineers think about efficiency, break down complex problems and choose better solutions. Knowledge of operating systems, databases, networking and system design helps them build reliable applications.

AI can become a powerful addition to these skills, helping developers work faster, explore solutions and improve productivity.

For students preparing for software engineering roles, the opportunity is to build both:

- Develop strong DSA and problem-solving skills.

- Understand core computer science concepts.

- Learn to use AI tools effectively in real development workflows.

- Build projects where you can apply, test and improve your engineering decisions.

The future of software engineering isn't about choosing between DSA and AI. It's about combining strong fundamentals with the ability to use new tools effectively.

What do you think will make an engineer stand out in the coming years: strong problem-solving, AI-assisted development, or the ability to combine both?