In the last 2–3 years, AI in coding for beginners has completely changed how people learn programming. From generating code snippets to debugging help, AI is reshaping the way newcomers approach coding. Introducing tools that can automatically generate content like photos, videos, and even code with just a single prompt. With this revolution, a new field called prompt engineering has emerged.
In this blog, I’ll focus on how coding itself has changed and what newcomers should pay attention to when they start programming in this AI-driven era. From my personal experience, my own style of coding has transformed, and I’ve identified some important points that every programmer should know.
Don’t focus on syntax, focus on logic
Earlier, we had to memorize the syntax of a language to code in it. But now, with generative AI tools like ChatGPT, we can get the syntax instantly. AI can generate entire snippets of code, but sometimes the output may contain logical errors or may not match the desired result. That’s where problem-solving skills come in.
If you don’t have the ability to reason through the logic, you won’t be able to fix or adapt the AI-generated code. In today’s AI world, syntax matters less—logic matters more.
Don’t get stuck on one framework
Previously, many developers used to stick to a single framework, saying, “I’m a React Native developer” or “I only work in Flutter.” But AI has changed this mindset. Thanks to summarized guides and code snippets from AI, switching from one framework to another is much faster.
For example, my manager once asked me to make a change in an old Ionic app, while I was only experienced in React Native. With no prior Ionic knowledge, I turned to AI for help. It gave me a quick comparison and guided me through Ionic. Within 3–4 hours, I successfully made the change.So don’t limit yourself to one framework. If you understand the functionality, AI can help you adapt to different frameworks quickly.
Understand the code generated by AI
This is one of the biggest mistakes newcomers make—they copy and paste AI-generated code without understanding it. While this may work initially, when errors appear and debugging is required, they often get stuck.
The key is to understand and rewrite the AI-generated code in your own style. This makes future debugging much easier and helps you grow as a developer.
Sometimes prefer search engines
AI is powerful, but sometimes search engines or community forums save more time. AI responses may build on previous prompts, which can lead to repetitive or incorrect suggestions for small errors.
In such cases, searching forums, blogs, or Stack Overflow can quickly provide tried-and-tested solutions from people who faced the same issue. Don’t just rely on AI—balance it with search engine research.
Adapt AI
Some people still resist using AI and continue writing every line of code manually. While this is excellent for sharpening problem-solving skills, it may hold them back in the long run.
The world is changing fast, and adapting to AI tools is now essential for productivity. Those who refuse to evolve may risk falling behind.
In this AI era, coding is no longer just about memorizing syntax or sticking to one tool. It’s about understanding logic, being flexible, using AI smartly, and adapting to new technologies. These are lessons I learned through my own mistakes and experiences—and they’ve reshaped the way I approach coding.
