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The rapid evolution of artificial intelligence in software development is sparking serious conversations across the tech world. Sridhar Vembu, cofounder of Zoho, believes programmers should start preparing for a future where traditional coding may no longer be the primary career path.
His remarks come amid growing excitement around advanced AI systems capable of building complex software with minimal human input. According to Vembu, recent breakthroughs suggest that the productivity gap between human coders and AI-assisted development is expanding faster than many expected.
The discussion gained momentum after Anthropic showcased its advanced model, Claude Opus 4.6, reportedly capable of creating a C compiler from scratch — a task traditionally considered a high-level engineering achievement.
Vembu highlighted examples circulating online, including developers with limited coding knowledge building apps within days using AI tools from Anthropic and OpenAI. He described these developments as proof of how dramatically AI-assisted coding productivity has improved.
While acknowledging the scale of change, he emphasised that his comments were not meant to create panic. Instead, he encouraged developers to calmly accept that the nature of programming work is shifting.
In his public comments, Vembu said people who rely solely on writing code for a living should begin considering alternative career directions — including himself. However, he framed this as an evolution rather than a crisis.
His perspective reflects a broader trend in the tech industry, where AI is increasingly handling repetitive engineering tasks, allowing humans to focus more on problem-solving, design thinking, and domain expertise.
Rather than eliminating developers entirely, the shift may redefine what it means to be one. Skills such as systems thinking, product understanding, and business context could become more valuable than raw coding ability.
Vembu outlined two contrasting scenarios for the future of AI and work:
An optimistic outlook: Technology becomes so powerful that it reduces the need for manual coding, freeing people to focus on creativity, strategy, and life beyond constant technical execution.
A dystopian possibility: Centralised control of powerful AI systems reshapes the economy in ways that reduce individual autonomy.
These contrasting visions highlight the uncertainty surrounding the AI revolution. While tools are improving rapidly, how industries adapt remains an open question.
India’s massive developer ecosystem could be among the most affected by this shift. Many IT services firms have historically relied on large teams of engineers handling routine coding and maintenance tasks — precisely the kind of work AI is beginning to automate.
Instead of abandoning tech careers entirely, experts suggest developers may need to pivot towards:
AI integration and prompt engineering
Product strategy and user experience
Cybersecurity and infrastructure
Data analysis and domain specialisation
As AI continues to evolve, coding itself may become less of a standalone skill and more of a tool embedded within broader problem-solving roles.
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Published: Feb 06, 2026