The engineering leadership perspective on AI coding: Speed, quality and scale
When Madhusudhan Rao, the Chief Technology Officer (CTO) of Swiggy, walks into a room of senior engineering and technology leaders in Bengaluru on 22 January 2026, he will not only talk to peers from India’s most ambitious tech teams but also speak to the people who have quietly turned the city into one of the world’s most aggressive adopters of artificial intelligence (AI) in software engineering. These are teams where AI code assistants sit inside the editor all day, sprint plans move faster than ever and “ship it” has become the default reflex. Rao’s starting question is deceptively simple: If AI has already rewritten how your teams write and ship code, has your code review workflow really kept up?
