How AI-assisted coding tools are changing the future of coding jobs

Dr Deepak Garg is Vice Chancellor SR University and Founder Director of leadingindia.ai. With AI: Business owner described her ideal website to an AI assistant: “I want a flower shop website with an image gallery, online ordering, and a blog section.” The AI generated the complete code, which she could then adjust with simple requests like “make the background light pink” or “add a section for wedding arrangements.” Example 2: Creating a data analysis tool Before AI: A high school teacher, wanted to analyze his students’ test scores to identify patterns. He would need to learn Python or R programming or Master data visualization libraries or spend weeks learning before creating anything useful With AI: School Teacher simply told an AI assistant: “I want to create a program that takes my CSV file of student scores and shows me which topics students struggle with the most.” The AI generated a complete Python script that Imports the data, analyzes performance by topic, creates visual charts showing problem areas and suggests potential interventions Example 3: Building a mobile app Before AI: Naïve coder wanted to create a simple app to help people track their medication. Coder Would require learning Swift or Java/Kotlin and need understanding app development frameworks and months of learning and practice With AI: Coder described the app functionality to an AI coding assistant: “I want an app that reminds users when to take medications, tracks when they’ve taken them, and alerts them when supplies are running low.” The AI Generated the core code structure, created the user interface design, Implemented reminder functionality and added data storage capabilities Jamie still needed help implementing the app, but the AI created the foundation that a developer could quickly build upon. Instead, their jobs will change to focus on guiding AI tools with clear instructions, reviewing and improving AI-generated code, designing overall systems and architectures, working on creative solutions that AI can’t imagine and specializing in specific industries or types of applications The most successful coders will be those who learn to partner effectively with AI tools, using them to accomplish more than either could do alone.