When I started my career as a software developer back in 2010, I was primarily focused on the technologies that were emerging then. One of the coolest web-related technologies I could think of as a developer was refreshing content on a webpage without reloading the browser using jQuery. That was a game-changer for a university project I was working on at the time.
Staying competitive as a software developer meant staying on top of the coolest emerging technologies and diving deeper. However, fast forward to 2026, and staying on top of the latest technologies alone is not enough to become a competitive developer. Not surprisingly, the reason is the widespread use of AI in the software industry1 2 3.
With the help of AI, anyone who doesn’t understand the core principles of programming can now be a programmer and build apps while they wait for their coffee to brew, irrespective of the technology or tech stack (whether those apps are commercially ready and sustainable in the long run is a topic on its own and outside the scope of this article). Being a specialist developer in one domain alone is not sufficient to make you competitive. The competitive developers are the ones who understand how the system works and beyond.
The 6 points below are my advice to present and future software developers to stay competitive in 2026.
1. Understand The Business
Get into the weeds of the business and how it operates, what it fulfils and what value it brings to customers of the business you are working for. The more you understand the business goals, the better you will become when writing programs to support the business.
A question to ask yourself: Do I understand the business requirement behind this change?
2. Dig Deeper
Don’t just solely focus on the piece of code you are writing. See how it is used in the wider business domain and what one additional step you can add to ensure your code fits the present and the future of the business.
A question to ask yourself: Do I understand how this code brings value to end users?
3. Understand The System
Your responsibility might lie solely in the API system or the front-end of a full-fledged web-based application. Tap into the other specialities in the current system, such as databases, reporting, where it is deployed, how the modules talk with each other, third-party tool integration, security governance and so on, to understand how everything works together as a system.
A question to ask yourself: If I do this change, will this affect how we deploy the product?
4. Security Best Practices
No matter what language speciality you are working on, there is one thing you cannot think enough of, and that is security. Learn about the industry standard security best practices, such as OWASP3, and see what else you can do to ensure your contributions to the codebase go hand in hand with those practices. If not, be prepared to justify why not.
A question to ask yourself: Do I understand why these records are hashed before being stored in the database?
5. AI-Driven Workflow Automation
With the widespread use of AI & Agentic AI across domains, being able to use AI effectively and automate predictable repetitive tasks can be a career-saving skill to master. From a simple code sanity check to critical vulnerability analysis, all setup via AI automation can be the competitive edge your team and the organisation is looking for.
A question to ask yourself: How many minutes/hours are we saving by automating this vulnerability scan?
6. Think Beyond the Code
Whether you are using AI-coding assistants or not, you are no longer just a developer writing code, even though your title highlights that specifically. The modern software developer must aim to understand beyond the five points we discussed above. The developer should pay attention to the people in the organisation, the management/decision-making style, laws and compliance related to the sector to stay competitive.
A question to ask yourself: Do I understand the people, processes and regulations that influence what I build?
If you want to explore the foundational skills that complement this mindset, my article on 5 Essential Evergreen Remote Employee Skills is a good place to start.
In a Nutshell
In my observation, being a specialist developer in just one technology domain is the area hit hardest by AI involvement. In the pre-generative AI era, becoming a specialist in one domain took years of investment, and that barrier is now incredibly low. The developers who are going to successfully ride the AI advancements are the ones who understand the building blocks of the system and beyond. The six points we discussed above give you a solid foundation to anchor your development journey and use it as a stepping stone to becoming eligible for leadership roles along the way.
📌 Want to Stay Ahead as a Developer?
If you are trying to future-proof your career, move beyond pure coding, or position yourself for a leadership role in tech, you do not have to figure it all out alone.
Through my coaching at Remote Winners, I work with developers to:
- Build confidence in technical decision-making and leadership
- Navigate the shift from specialist developer to well-rounded professional
- Create a clear path for career growth and progression in the AI era
- Develop practical strategies you can apply immediately
If that sounds like something you need, you can explore more on my Coaching page.
Let’s work together to unlock your next level.
Footnotes
