Vibe Coding explained: Programming with AI without prior knowledge | INSIDE AI #21
Vibe coding stands for a new, AI-supported approach to software development - inspired by Andrej Karpathy. The idea: AI models do most of the coding, while humans only formulate requirements. In this episode, Tommy Falkowski shows how realistic this approach is, which tools are currently leading the way and what it means for practical use in industry and everyday life.
Tools such as GitHub Copilot, Cursor, V0 from Vercel, Lovable, OpenAI Codex and Cloud Code from Anthropic are shown. The agent-based approach will be explained using concrete examples - including live demos and tips for beginners and advanced users.
🎙 With us: Tommy Falkowski / tommy-falkowski
⏱ Chapter markers:
0:00 - Introduction: What is vibe coding?
0:23 - Origin of the term by Andrej Karpathy
1:25 - Tools for vibe coding: ChatGPT, Gemini & Co.
2:34 - Why learning to program is still important
3:30 - Four requirements for successful vibe coding
6:06 - GitHub Copilot, Cursor & Co. in comparison
8:25 - New tools: V0, Lovable and agentic systems
9:57 - Cloud code, Codex & agentic work
12:30 - V0 and Lovable in live testing
16:43 - Running your own website locally with AI support
17:29 - Advantages and entry hurdles
20:10 - Example project: News scraper with Python
22: 59 - Creating a product requirements document (PRD)
24:10 - Cloud code in action: architecture and implementation
26:30 - Automated further development via GitHub & Codex
28:17 - Security aspects & limits in an enterprise context
29:11 - Human evaluation of code quality remains essential
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