Enterprise IT organizations are increasingly adopting vibe-coding, a method that emphasizes rapid software development through AI-driven tools like large language models. This practice allows analysts and subject matter experts to prototype without needing conventional coding skills, significantly lowering the barrier for intelligent application development. However, scaling vibe-coding presents complexities in governance and operational risks. By analyzing the CTO Signal Scanner's evolution, the report highlights how to balance speed and sustainability in implementing vibe-coding methodologies effectively across organizations.
Vibe-coding prioritizes functionality and user experience, enabling rapid software development with minimal traditional coding, utilizing AI tools and large language models.
The rise of accessible LLMs and AI code assistants has democratized software development, transitioning the role from full-stack developers to analysts and subject matter experts.
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