If you’re exploring a career in tech, you’ve probably asked:
Do I need to learn AI to become a software engineer?
Increasingly, the answer is yes.
But not just any AI.
A new category—Agentic AI—is changing how software is built, and it’s quickly becoming an important skill for anyone entering a tech career.
Agentic AI refers to AI systems that can plan, make decisions, and take action to complete a goal—not just respond to prompts.
Unlike traditional AI tools that generate code or answer questions, agentic systems can:
In simple terms:
AI is shifting from a tool you use…to a system you work with.
That shift is already happening in the workplace. Many organizations are exploring agentic AI to improve productivity and speed, though most are still early in adoption—creating a major opportunity for new developers entering the field.
Software engineering isn’t going away—but it is changing.
Today, developers are expected to do more than just write code. They need to:
That’s where agentic AI comes in.
Developers who understand how to work with AI systems—not just code from scratch—will have a clear advantage.
If you’re still evaluating whether this path makes sense, start with our guide on whether a career in tech is right for you, or explore the highest-paying programming languages to understand where demand is growing.
In modern development workflows, AI is already being used to:
But here’s the key insight:
AI only creates real value when it’s integrated into how work actually gets done—not used as a separate tool.
Agentic AI is the next step—embedding intelligence directly into the development process.
Yes—and you don’t need experience to start.
The goal isn’t to skip fundamentals. It’s to learn them alongside AI, so you can:
This approach makes it possible to start building real applications earlier in your learning journey.
If you’re starting from scratch, a good first step is learning the basics of programming. Our Intro to Python course is designed to help beginners build that foundation before moving into full application development.
Learning agentic AI doesn’t mean becoming a machine learning expert.
It means learning how to build software with AI support.
In a modern AI + Fullstack program, that includes:
In Code Platoon’s AI + Fullstack Engineering program, students learn these skills by building and deploying real applications from day one.
Most companies are still figuring out how to use agentic AI effectively.
That’s important.
Because it means the market isn’t saturated with talent yet.
If you start learning now, you’re not catching up—you’re getting ahead of where the industry is going.
Agentic AI is changing how software gets built.
For future software engineers, the most valuable skill isn’t just writing code—it’s knowing how to:
Use AI to build, solve problems, and ship real applications.
That’s the direction tech careers are heading.
If you’re ready to take the next step:
Or schedule a call with our recruitment team to talk through your goals.