Software engineering is changing quickly. Just as the internet and cloud computing changed how we build and launch apps, artificial intelligence (AI) is now speeding up the move from a minimum viable product (MVP) to large-scale systems.

Tasks that used to take days, such as hackathons, now take only hours. Companies use AI agents for more than code completion. AI agents help with documentation, testing, and managing workflows. But adding AI to the software development lifecycle (SDLC) is not just about speed. It also means building good engineering habits to keep systems resilient, secure, and high-quality.