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Google Vibe Coding vs. Agentic Engineering White Paper

Google's white paper explores "vibe coding" and agentic engineering as new software development paradigms, proposing an AI-driven SDLC where agents handle coding while humans focus on direction and validation.

Background

- "Vibe coding" is a term coined by OpenAI co-founder Andrej Karpathy for using AI assistants (like ChatGPT or Copilot) to write code based on natural-language prompts, without the developer fully understanding or reviewing the generated code — essentially "coding by vibes." - This white paper, published on Kaggle (a Google-owned platform for data science and machine learning), compares vibe coding with "agentic engineering" — a more structured approach where AI agents autonomously plan, code, test, and debug within defined guardrails. - The paper proposes a new Software Development Life Cycle (SDLC) adapted for AI-assisted coding, arguing that as AI tools get more capable, the traditional stages of software development (requirements, design, implementation, testing, maintenance) need to be rethought. - This matters because vibe coding has exploded in popularity among non-programmers and hobbyists, but professional engineers worry it produces fragile, insecure, or unmaintainable code. The paper aims to establish best practices for using AI in production software.

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Google Vibe Coding vs. Agentic Engineering White Paper

Background

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