Coding with a fluid mind

From peer reviews to test coverage, Al is transforming the developer's journey. Let's explore how fluidic intelligence reshapes coding, testing, and beyond, turning developers into orchestrators of agility, security, and innovation

- By PCQ Bureau

When Ganesh Sahai, Chief Technology Officer, Nagarro, describes the role of AI in software development, he doesn't talk about machines replacing coders. Instead, he speaks of “fluidic intelligence,” a way of working where AI disrupts not just how code is written but how the entire software development life cycle evolves. From requirement gathering to delivery, from refactoring to testing, AI is shifting developers away from repetitive work toward higher-value thinking. The story is not about losing jobs but about expanding horizons.

From breakthroughs to fluid intelligence

Innovation at Nagarro has always been about breaking patterns. What once was a theme of “thinking breakthrough” has now matured into “fluidic intelligence,” an approach focused on adapting with the times and embedding intelligence into every layer of work.

In this context, AI is not treated as a gimmick but as a disruptive technology that cuts across the entire development life cycle: business analysts, UI/UX designers, programmers, testers, CI/CD engineers—all are touched by it. Dedicated programs train teams on tools such as GitHub Copilot, Windsurf, and Cursor, with equal attention paid to the sensitive issues of intellectual property and data privacy. Once the guardrails are clear, the real adoption begins, with developers learning to work alongside AI as partners.

Code by prompt, edited by humans

AI's biggest value lies in context. Large language models are trained on multiple programming languages and coding patterns, making them versatile across domains.

But while they can generate a bubble sort algorithm on demand, true usefulness emerges only when prompts are crafted with precision.