The concept of 'vibe coding' is gaining traction in the software development community, allowing developers to describe their programming intentions in natural language, with AI systems generating the corresponding code. This method, which uses large language models (LLMs) like those powering ChatGPT, GitHub Copilot, and others, promises to accelerate development by abstracting away the need for manual coding. Tools such as Aider, GitHub Copilot, DeepSeek, Claude, and Gemini are being utilized for tasks like auto-completing boilerplate code, sanity-checking, and making code more concise. Vibe coding is not without its challenges. While it offers rapid prototyping and increased accessibility to non-coders, it also risks introducing security vulnerabilities and tech debt if not properly managed. The need for human oversight is emphasized, with Human-in-the-Loop (HITL) systems playing a crucial role in ensuring the quality and safety of AI-generated code. Companies like Zerodha, Inmobi, Sarvam AI, Uppercase, Reltio, Druva, Atlys, and Pratilipi are leveraging AI for significant portions of their codebase, ranging from 50-80% code generation, with Inmobi aiming for 80% automation. Industry leaders and startups are increasingly adopting AI-assisted coding. However, the effectiveness of AI in coding is contingent upon the expertise of the developers guiding the process, highlighting the importance of skilled human intervention to refine and validate AI outputs. Gemini Code Assist, powered by Google, is enhancing its capabilities with 'agentic' features, and will be available on Google Distributed Cloud (GDC) with NVIDIA Blackwell systems in Q3 2025, bringing AI to on-premises environments.