What Is Vibe Coding, Really?
Forget any ideas about hiring based on personality or gut feelings. ‘Vibe coding’ is a specific software development practice that involves a close partnership with artificial intelligence. Coined in early 2025 by AI researcher Andrej Karpathy, the term
describes a workflow where a developer uses natural language prompts to guide an AI assistant in generating, refining, and even deploying code. Instead of manually writing every single line, the developer’s role shifts to that of a high-level architect. They describe their ideas, instruct the AI, and then test and iterate on the output. It’s a move from being a pure code writer to becoming a code collaborator, with an AI as your new pair programmer.
From Buzzword to In-Demand Skill
What might have sounded like a niche concept from Silicon Valley is now a tangible hiring requirement in India. Job portals are filling up with listings from startups in cities like Delhi, Gurugram, Pune, and Surat explicitly looking for developers with a “vibe coding mindset.” These are not just for senior AI specialists. Roles for full-stack developers, AI/ML interns, and engineers now frequently mention the need for experience with AI coding assistants like Copilot, Claude, or Cursor. These job descriptions link the skill to rapid execution, end-to-end product building, and a mindset geared towards speed—all crucial attributes in the competitive startup world.
Why Startups Are Driving the Trend
The adoption of vibe coding is being driven by the fundamental needs of early-stage companies: speed and efficiency. For a small startup with limited funding and a small engineering team, the ability to build and test a Minimum Viable Product (MVP) quickly is a matter of survival. Vibe coding helps accelerate this process significantly. It allows developers to prototype new features faster, automate repetitive coding tasks, and reduce the overall time to market. In a bustling ecosystem where startup hiring has grown and the focus is on leaner, more skilled teams, leveraging AI for development provides a powerful competitive advantage. It enables a small team to punch far above its weight in terms of output.
The Evolving Technical Interview
This shift is also starting to influence the hiring process itself. While traditional whiteboard interviews focused on a candidate's ability to recall algorithms from memory, the rise of vibe coding puts a new set of skills in focus. Hiring managers are becoming more interested in how a developer thinks and solves problems with modern tools. Can a candidate effectively prompt an AI to get the desired result? Can they quickly identify and correct flaws in AI-generated code? The emphasis is moving from rote memorization towards strategic thinking, architectural oversight, and the ability to leverage AI as a productivity multiplier. This may not replace traditional technical assessments entirely but complements them by testing for real-world, AI-assisted development skills.
The Risks and Responsible Reality
Despite its benefits, vibe coding is not without its risks. An over-reliance on AI-generated code can lead to significant problems. Security vulnerabilities can be introduced by code that isn't properly vetted, and codebases can become difficult to understand and maintain over time if the human team loses touch with the underlying logic. The key, as experts point out, is responsible AI-assisted development. This approach treats the AI as a powerful collaborator, not a replacement for human expertise. The developer must still guide the process, carefully review the output, and take full ownership of the final product to ensure it is secure, efficient, and maintainable.
