New Delhi, July 3, 2026: In a major move that highlights how rapidly the tech landscape is shifting, Indian e-commerce giant Flipkart has announced that artificial intelligence is now writing nearly 40% of its software code. Rather than just relying on generic, off-the-shelf AI models, the company is building its own specialized Large Language Models (LLMs) to create what it calls an “agentic e-commerce platform.”
According to Balaji Thiagarajan, Flipkart’s Chief Product and Technology Officer, the company has already deployed more than 250 AI models across its entire ecosystem. This strategic pivot points toward an industry-wide realization: while general-purpose AI is helpful, the future of competitive tech lies in highly tailored, proprietary systems.
The Secret Sauce: Moving Beyond General-Purpose AI
For the past couple of years, tech companies have experimented with broad AI tools to help developers write code, answer customer questions, and summarize documents. However, Flipkart is moving away from a one-size-fits-all approach.
Flipkart’s engineering team believes that general-purpose models lack the specific context required to handle the unique nuances of Indian retail, diverse regional languages, and complex supply chain logistics. To solve this, Flipkart is adopting a “mixture of experts” strategy. This setup combines top-tier public frontier models with their own custom-built, specialized e-commerce LLMs. The true differentiation comes from the company’s proprietary data, engineering capabilities, and deep understanding of consumer behavior.
Transforming the E-Commerce Experience
Flipkart isn’t just using AI to make life easier for its developers; the technology is being deeply woven into the platform to fundamentally change how millions of Indians shop online.
By building autonomous AI agents, Flipkart aims to guide users through the entire buying journey like a helpful assistant, rather than just acting as a static search engine.
Code Generation: The New Baseline in Tech
Flipkart’s milestone of having 40% of its code written by AI is part of a massive, unstoppable trend across the global software industry. Over the past year, major players have reported similar or even higher numbers. For instance, Google recently revealed that more than 25% of its new code is generated by AI, while companies like Coinbase report hitting the 40% mark. In the hyper-competitive Indian e-commerce space, platforms like Meesho have reported that upwards of 70% of their codebase is now touched by AI tools.
While these numbers sound astonishing, it doesn’t mean human engineers are becoming obsolete. Instead, tools like Claude Code and GitHub Copilot are absorbing the repetitive, boilerplate tasks—such as writing basic loops, formatting data, or setting up unit tests. This shifts the role of the human engineer from a mechanical code-writer to a strategic reviewer and system architect. Humans remain firmly “in the loop” to review code, ensure security, and handle complex logic.
Prioritizing Governance Over Immediate Returns
With massive AI infrastructure comes massive financial investment. Tech giants worldwide, including Flipkart’s parent company Walmart, have faced increasing pressure to justify the sky-high costs of running advanced AI hardware. Surprisingly, Flipkart isn’t sweating the immediate financial return on investment (ROI).
Because the company is still in an active investment and building phase, leadership is focusing heavily on AI governance. This includes content moderation, reinforcing system guardrails, and utilizing Reinforcement Learning from Human Feedback (RLHF) to make sure AI outputs are accurate and trustworthy. When dealing with millions of customers, ensuring that an AI agent doesn’t hallucinate a fake discount or give inappropriate product recommendations is far more critical than short-term cost savings.
The Broader Competitive Horizon
Flipkart’s heavy push into custom AI comes at a time of fierce competition in the Indian market. Its primary rival, Amazon, has committed to a massive $13 billion investment in India through 2030, specifically targeting the expansion of cloud computing and AI infrastructure.
As the battle lines are drawn, Flipkart’s strategy of building its own specialized LLMs serves as a fascinating blueprint. It shows that winning the next era of retail isn’t just about who has the biggest inventory or the fastest delivery—it’s about who owns the smartest, most deeply integrated intelligence system.