New Delhi, Nov. 7 -- AI coding assistants have made software development faster, but enterprises will need to rethink more than how developers write code to realise the full potential of artificial intelligence. As AI agents take on increasingly complex engineering tasks, organisations must redesign workflows, rethink quality assurance, establish boundaries for autonomous execution and redefine how they measure productivity.

The shift from AI-assisted coding to AI-native software engineering involves embedding AI across the software development lifecycle (SDLC), from requirements and development to testing and release. However, simply introducing coding assistants into existing workflows may deliver limited returns if teams continue to s...