University of Kwazulu-Natal

What Is Vibe Coding Ibm

Bonisiwe Shabane
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what is vibe coding ibm

“Vibe coding” is a new and loosely-defined term in software development that refers to the practice of prompting AI tools to generate code rather than writing code manually. In software engineering , development is reshaping from strict, manual coding and becoming more flexible and AI-powered—and vibe coding is at the forefront of this change. “Vibe coding” is introduced by renowned Computer scientist Andrej Karpathy in February 2025 and emphasized the significance of AI tools in software development. This concept is in line with developments in artificial intelligence (AI) technologies, especially large language models (LLMs) like ChatGPT, Claude and OpenAI’s Codex to help developers stay in the zone of creativity and automate... Vibe coding is a fresh take in coding where users express their intention using plain speech and the AI transforms that thinking into executable code. The goal of vibe coding is to create an AI powered development environment where AI agents serve as coding assistants making suggestions in real time, automating tedious processes and even producing standard codebase structures.1

By prioritizing experimentation before refining structure and performance, vibe coding embraces a “code first, refine later” mindset. This opens opportunities for developers to prioritize building first and optimizing later. Also, in an agile framework, vibe coding aligns with the principles of fast-prototyping, iterative development and cyclical feedback loops. This allows enterprises to focus on these principles while fostering innovation, instinctive problem-solving and flexible coding capabilities. However, AI simply generates code, but true creativity, goal alignment and out-of-the-box thinking remain uniquely human so human input and oversight is important and cannot be overridden. There are times in life where you intellectually connect with someone instantaneously.

It's rare. And it's mind-blowing. It happened to me yesterday during a one-hour discussion with Professor Daniel Zingaro along with his student Siqi Fei , which could honestly have lasted at least five hours. I am going to write down what we talked about for a couple of reasons: Professor Dan Zingaro, who teaches Computer Science at the University of Toronto, is deeply interested in the emerging trend of "vibe coding" and how to better educate the next generation of computer scientists and... We talked about coding, AI, and the future in general.

Thinking now, this should have been a podcast… food for thought, Dan? :) "Vibe coding" is a term that is often misunderstood. At its core, it requires recognizing that coding is fundamentally a form of communication. And, like all communication, it’s evolving. The term, coined by Andrej Karpathy in early 2025, describes this shift toward using natural language as a more direct interface for programming.

This doesn't mean we vaguely tell a computer what we want and get a perfect result. Rather, it emphasizes that a developer's role has always been to bridge the communication gap between human intent and machine execution. In that sense, vibe coding is coding precisely because it is communication—a continuous dialogue between a developer and an AI assistant to achieve a goal. Historically, we adapted to the machine's language; now, the machine is learning to adapt to ours. In computer programming, vibe coding is an AI-assisted software development technique. It is a chatbot-based approach to creating software where the developer describes a project or task to a large language model (LLM), which generates source code based on the prompt.

The developer does not review or edit the code, but solely uses tools and execution results to evaluate it and asks the LLM for improvements. Unlike traditional AI-assisted coding or pair programming, the human developer avoids examination of the code, accepts AI-suggested completions without human review, and focuses more on iterative experimentation than on code correctness or structure. The term was introduced by Andrej Karpathy in February 2025.[1][2][3] The term was listed on the Merriam-Webster website the following month as a "slang & trending" term.[4] It was named the Collins English Dictionary... Advocates of vibe coding say that it allows even amateur programmers to produce software without the extensive training and skills required for software engineering.[7][8] Critics point out a lack of accountability, maintainability, and the... Computer scientist Andrej Karpathy, a co-founder of OpenAI and former AI leader at Tesla, introduced the term vibe coding in February 2025. The concept refers to a coding approach that relies on LLMs, allowing programmers to generate working code by providing natural language descriptions rather than manually writing it.[1][2][8]

Karpathy described it as "fully giv[ing] in to the vibes, embrac[ing] exponentials, and forget[ting] that the code even exists."[3] He used the method to build prototypes like MenuGen, letting LLMs generate all code, while... Project Bob is an integrated development environment to write, test and secure software. It’s the latest offering in the growing AI code field. IBM is targeting key enterprise hurdles that stand in the way of AI adoption plans, including readiness, data quality and fragmentation. As part of its partnership with Anthropic, IBM created a guide focused on the AI agent development lifecycle, featuring tips on designing, deploying and managing enterprise agents. The company also said it plans to extend observability and governance products — like its AgentOps offering — to mainframes with its watsonx Assistant for Z.

AgentOps is a set of practices that enables customers to see how agentic tools are applying policies and handling sensitive data. Improving controls was also core to the Project Infragraph announcement in September, which aims to replace fragmented tools with unified observability to reduce information silos and tool sprawl. On Tuesday, IBM said HashiCorp — the multicloud company it acquired last year — is beginning to accept applications for the private beta program. 👋 Let's Connect! Follow me on GitHub for new projects. The way some developers write code has fundamentally shifted in 2025.

With the rapid evolution of AI-powered tools like ChatGPT, GitHub Copilot, and domain-specific LLMs, developers are no longer just writing code—they’re guiding AI to generate it. This emerging paradigm, sometimes called vibe coding, is more than just AI-assisted development; it's a workflow where developers focus on intent and design while AI handles much of the syntax and boilerplate. But does this make development more efficient or risk reducing our deeper understanding of programming fundamentals? Let’s take a balanced look at what vibe coding is, how it works, and the implications for the future of software engineering. Vibe coding is a term that encapsulates a natural language-driven approach to development. Instead of manually writing every line of code, developers:

Turn ideas into code faster with plain language prompts and agentic AI support. Vibe coding is a natural language-driven, AI-assisted way to build software. Instead of writing every line of code by hand, you describe what you want via natural language prompts to an agentic AI system—like “create a dark mode toggle for a settings menu”—and AI helps... Iterating quickly without breaking your flow. Shaping structure after the initial creative spark. It’s well suited for early-stage projects and creative exploration, and helps make software development more accessible to people without a deep knowledge of programming language.

“The hottest new programming language is English.” – Andrej Karpathy, 2023 As a UX designer and solutions architect who’s witnessed 20 years of development evolution, I’ve never seen a shift as radical as vibe coding. Coined in February 2025 by AI pioneer Andrej Karpathy (former Tesla AI director and OpenAI founding member), this methodology reimagines software creation as a conversational dance between human intention and AI execution. Unlike traditional programming, vibe coding treats natural language as the primary interface: developers describe goals (e.g., “Build a REST API with JWT authentication”), and AI tools like GitHub Copilot generate executable code in real-time 75% of Replit users never write manual code, yet build functional apps

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