The concept of 'vibe coding' has emerged as a new approach to software development, leveraging artificial intelligence (AI) tools to generate code based on natural language prompts. This method, coined by Andrej Karpathy, a former OpenAI co-founder and Tesla's AI lead, allows developers to focus on the creative aspects of software design without needing to write code manually. Vibe coding is gaining traction, with tools like Cursor, Replit, and Claude facilitating this process. These platforms enable users to describe their software ideas in plain English, after which the AI generates the corresponding code. This approach is particularly popular among game developers, as demonstrated by Microsoft's Peter Yang, who built a 3D first-person shooter zombie game using only natural language prompts. Andrew Ng has introduced a 'Vibe Coding 101' course in collaboration with Replit to teach beginners how to effectively use AI tools for coding. Despite its growing popularity, vibe coding has sparked debate. Proponents argue that it democratizes software development, allowing individuals without coding experience to create functional applications. Critics, however, express concerns about the potential for increased technical debt and the erosion of traditional coding skills. The method's effectiveness is also questioned, as AI-generated code can be prone to errors and inefficiencies. Tools like GitHub Copilot, with over 1.3 million users, and Cursor, with 40,000 paying users, are at the forefront of this trend. To address these concerns, U.K.-based startup TurinTech has raised $20 million to develop its 'Artemis' platform, which aims to optimize and validate code generated through vibe coding. TurinTech's solution, described as 'evolutionary AI', seeks to improve the performance, security, and scalability of AI-generated codebases.