Agentic Engineering: The Structured Approach Replacing Vibe Coding at Scale

In early 2025, AI pioneer Andrej Karpathy popularized 'Vibe Coding,' a method of building software by describing ideas in natural language and letting AI generate the code, which proved effective for quick prototypes but struggled at scale. As projects grow, developers encounter what practitioners call the '200-prompt spiral,' where fixing one bug cascades into multiple new ones due to poorly understood architecture. Agentic Engineering has emerged as the next step, defined as the disciplined practice of architecting, scoping, and directing AI agents through decomposed prompts, strict typing, and test-driven feedback loops. The approach categorizes AI tools into three tiers — rapid all-in-one builders, AI code editors for surgical precision, and autonomous terminal-level agents — recommending a hybrid workflow across them. Practitioners advocate that classical software engineering fundamentals, such as modular design, ubiquitous language documentation, and TDD, become more critical than ever when AI handles code generation.