Across Asia-Pacific and Japan (APJ), technology leaders are racing to embed AI into every stage of the software development lifecycle (SDLC). From Singapore’s financial institutions to India’s fast-moving e-commerce startups, coding assistants promise faster delivery cycles and new innovation capacity.
Yet, many teams are discovering the Engineering Productivity Paradox: even as AI generates dramatically more code, overall engineering velocity and quality aren't improving proportionately. The reason is simple: all that AI-generated code, just like human-written code, must still be reviewed, verified, and secured. This verification step has become the new bottleneck.
