The article discusses the concept of "vibe computing," an evolution from "vibe coding" where AI expands beyond software development to encompass all computer interactions. It describes a future where users describe desired outcomes, and AI executes tasks across various domains.
This article addresses the debate around "vibe coding" and other AI tools in programming, asserting that the problem does not lie with these technologies. Based on two years of experience with production projects, the authors argue that the true issue is companies' engineering culture.
'Vibe coding' is a new approach where AI tools enable single founders to build high-converting sales funnels from natural language descriptions, eliminating the need for traditional coding and multiple teams. This method results in faster, more cost-effective, and better-converting funnels, with tools generating responsive pages rapidly.
The article warns against the "vibe coding hangover," where AI-generated MVPs, created by describing goals in natural language to LLMs, lead to spaghetti code, unauthenticated APIs, and hardcoded secrets due to a lack of disciplined engineering. It highlights the rapid adoption of AI coding tools but stresses the importance of underlying engineering rigor to avoid pitfalls.
The author developed an AI tool, RoastMyCode.ai, to humorously analyze GitHub repositories, providing scores, 'roasts,' and correction suggestions. After evaluating 40 projects, they shared findings on code quality, blending professional feedback and entertainment.
AI-assisted development, like vibe coding, significantly speeds up software creation, but this increased pace introduces substantial security risks. The rapid generation of code and automation of workflows can lead to security vulnerabilities slipping into production unnoticed.
The author, a veteran and tinkerer, defends "vibe coding" for hobbyist programmers who want to build projects, not careers. He criticizes the resistance to new tools and methods, comparing it to past objections against calculators and word processors.
O 'vibe coding' evoluiu para um processo de desenvolvimento de software impulsionado por IA, onde desenvolvedores articulam intenções em linguagem natural e ferramentas de IA geram código. Reconhecida como Palavra do Ano em 2025 e adotada por 92% dos desenvolvedores dos EUA em 2026, essa prática impulsiona um mercado de ferramentas de codificação assistida por IA projetado em US$ 8,5 bilhões.
A inteligência artificial está revolucionando o desenvolvimento de aplicativos, com o 'vibe coding' democratizando a criação de software. Essa abordagem permite que não desenvolvedores criem código através de linguagem natural e acelera a produtividade de engenheiros experientes.
The article explores the divergence of opinions between Sundar Pichai and Sridhar Vembu regarding the AI-powered "vibe coding" trend. While Pichai sees a democratization and agility in software creation, Vembu warns of rapid tech debt accumulation and a superficial understanding of complexity.
AI-assisted development, or "vibe coding," is accelerating software creation, offering benefits like faster prototyping and reduced repetitive work. However, for ERP teams, the focus shifts beyond speed to maintaining confidence, stable integrations, and trust in data within critical enterprise systems.
Vibe coding is emerging as a popular trend in 2026, enabling users to create their own personalized smartphone apps. AI coding tools are transforming app development, making it accessible for individuals.
The author explores the growing intersection between "vibe coding," the euphoric state of fluid coding, and "agentic engineering," the controlled approach to building systems. They express a mix of excitement and apprehension regarding the convergence of these two programming philosophies. Both concepts represent different approaches to software development.
This article explores the continued relevance of WordPress in the age of "vibe coding", discussing when its use still makes sense amidst new development approaches. It evaluates the role of established platforms in an evolving technological landscape.