Although game applications, Web2 applications, and Web3 applications all follow the same software development lifecycle, the engineering mindset behind each stage is very different. In this article, I use Web2 as the baseline, then walk through how games and Web3 change the priorities, constraints, risks, and trade-offs across requirements, design, development, testing, deployment, and monitoring.
AI can generate plans, code snippets, and polished roadmaps in seconds—but it doesn’t automatically carry the consequences: integration constraints, security, testing, deployment, and long-term maintenance. That’s how “AI confidence + 0 accountability” shows up in real projects: timelines that sound convincing, scope that quietly assumes away the hard parts, and prototypes that get mistaken for production. The antidote is simple: confirm features first, lock an MVP scope, write acceptance criteria, then design the system and implement.