Hexaware Technologies has underscored the transformative role of artificial intelligence in shaping the future of software development, particularly for young coders entering the workforce. In a recent interaction, Amod Malviya, Chief Technology Officer at Hexaware, stressed that without AI tools, nearly 90 percent of young coders today would struggle to keep pace with the evolving demands of programming.
His remarks highlight the accelerating integration of AI into coding practices, where generative models and automation frameworks are increasingly considered essential rather than supplementary. With enterprises adopting AI-driven development at scale, the expectations from the next generation of software engineers are shifting toward using AI as an embedded part of the workflow rather than as an optional productivity aid.
AI-powered coding assistants, such as GitHub Copilot, ChatGPT-based development tools, and other generative AI platforms, are now becoming integral to developer ecosystems. These tools can generate code snippets, detect errors, suggest optimizations, and even automate routine debugging processes. For young coders, they provide an accelerated path to productivity and reduce the steep learning curves traditionally associated with mastering programming languages.
Malviya emphasized that AI does not diminish the importance of foundational programming knowledge. Instead, it creates a new paradigm where coding expertise is augmented by intelligent systems. Developers are expected to blend problem-solving skills with the ability to leverage AI effectively, enabling them to focus on creativity, architecture, and innovation rather than repetitive tasks.
The rise of AI in software development is also influencing how educational institutions prepare students. Computer science programs are increasingly incorporating AI coding tools into curricula to ensure graduates are industry-ready. According to industry analysts, students trained in AI-augmented programming environments demonstrate faster adaptability when transitioning into professional roles compared to those trained in traditional coding-only setups.
The global developer landscape is rapidly adjusting to this shift. Reports suggest that over 50 percent of professional developers already use AI-powered coding assistants in some capacity, with adoption rates climbing higher among younger cohorts. In India, where a large percentage of the developer workforce is under 30, the reliance on AI-based tools is accelerating faster than in many other markets.
Hexaware’s perspective reflects broader industry trends, where IT services firms are reimagining delivery models to include AI-driven efficiencies. Automation in testing, deployment, and maintenance is creating opportunities for coders to focus on higher-value innovation. At the same time, the industry acknowledges the need for continuous upskilling to ensure that young professionals are not overly dependent on AI without building robust problem-solving abilities.
Malviya also pointed out that the expectations of enterprises are evolving. Clients increasingly demand rapid application delivery and agile adaptation to market changes. AI-driven development cycles reduce timelines significantly, enabling service providers like Hexaware to meet these expectations while managing costs and resources more effectively.
The integration of AI into coding practices is not without challenges. Concerns about code quality, intellectual property, and over-reliance on machine-generated outputs persist. Enterprises are adopting frameworks to ensure that AI-generated code adheres to compliance and security standards. For young coders, this means cultivating the judgment to evaluate, validate, and refine AI outputs rather than accepting them without scrutiny.
The shift also holds implications for career progression. As AI assumes more routine responsibilities, differentiation for coders will increasingly depend on creativity, domain expertise, and the ability to innovate beyond standard programming practices. Industry leaders suggest that the ability to integrate AI into complex workflows will become a core competency for developers over the next decade.
India’s IT services sector, which employs millions of engineers, is expected to be at the forefront of this transformation. The widespread availability of AI tools, combined with the scale of digital transformation projects across industries, positions the country’s developer ecosystem as a key testing ground for AI-enabled coding practices.
The remarks from Hexaware’s CTO encapsulate the urgency for young coders to adapt quickly. The message is clear: AI is not a threat to developer relevance but rather a catalyst that defines the future of software engineering. Those who embrace it as part of their core toolkit are likely to thrive, while resistance or hesitation could slow professional growth in an increasingly AI-driven technology landscape.
As enterprises continue their AI adoption journeys, the role of coders is set to evolve in tandem. What emerges is not the replacement of human creativity but its amplification through AI, creating opportunities for innovation and advancement at a scale previously unimaginable.