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The Pragmatic Engineer
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Vibe Coding as a software engineer
- The term “vibe coding” is gaining traction in the software engineering community, popularized by computer scientist Andrej Karpathy.
- Vibe coding involves letting AI generate code with minimal human intervention, primarily focusing on high-level goals.
- Popular vibe coding tools include GitHub Copilot, Claude Code, and ChatGPT, aiding developers in code generation.
- Use cases for vibe coding include prototyping, brainstorming, and improving development tools.
- Vibe coding is not recommended for production-ready code due to potential security, performance, and cost issues.
- AI advancements are making Large Language Models (LLMs) more proficient in coding, enhancing prototyping speed.
- Vibe coding is differentiated from AI-assisted coding, where the former involves minimal code review and letting the AI do most of the work.
- Vibe coding tools such as GitHub Copilot, Claude Code, and ChatGPT are prominent in the developer community.
- Vibe coding is often utilized for prototyping and UI design, leveraging AI for faster development processes.
- Various tools and platforms like GitHub Copilot, Claude Code, and ChatGPT aid in code generation through AI assistance.
- Fullstack web platforms like Lovable, Vercel, and Replit offer solutions for rapid prototyping and fullstack app development.
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