A workplace has emotional tone or vibe. This has to be gauged using technology and data analytics, thus offering actionable insights that bridge the gap between organizational goals and human emotions. This is the core of vibe coding. The underlying idea is that AI translates human intent into working code through ambient inputs, natural language and contextual understanding.
In tech circles, vibe coding is the latest buzzword. It has caught the imagination of software developers in the Silicon Valley in San Francico Bay Area of California as well as the IT hubs of Bangalore and Hyderabad.
The word has been coined by Andrej Karpathy, OpenAI co-founder in February 2025. It is an AI-driven approach to software making. It accelerates projects and lowers the barrier to creating software. The coders can focus on the creative aspects of development rather than being bogged down in technical details.
Imagine giving voice inputs to your computer in plain English and getting an app or software built in just a few minutes. Your application comes to life before your eyes. Vibe coding is the latest way for both the developers and citizen coders to build apps with AI taking their natural language prompts and going from idea to running an app without the need to edit the code manually.
Vibe coding has been made possible by the convergence of several factors. AI’s ability to write the code has advanced dramatically (since late 2022). There are advanced LLMs such as Anthropic’s Claude 3.7 and Google’s Gemini 2.5 Pro. It is a major shift. A developer acts as a pilot giving instructions and AI handles execution. These models can write code, generate documentation, create test cases and enhance efficiency. These tasks took days. These can now be completed in minutes.
Engineers will have to reskill and upskill. They could remain relevant previously by writing boilerplate code. Now LLMs can generate thousands of lines of such code in minutes. Developers should shift solving complex problems involving layered thinking.
Custom algorithms and non-standard workflows will still require human inputs.
At its core, coding is problem solving. Fundamental coding skills are essential. Even if AI advances, the developers will have to set the direction, provide the context and make the final decision. Developers will have to guide AI to review its output.
Vibe should be separated from velocity. AI tools are powerful but not infallible. There should be guardrails. The code can be beautiful but functionally fragile. There should be testing, reviews and governance.
Leave a Reply