Vibe Coding 2.0
Vibe Coding is still one of the best AI Skills but the way you do it has changed

TL;DR
- Vibe coding has become easier, with AI tools capable of generating working applications from simple English descriptions.
- Google's AI Professional Certificate now includes planning, testing, debugging, and deployment in its vibe coding curriculum.
- The old method of vibe coding involved iterative prompting until the output looked correct, suitable for prototypes.
- The improved method involves describing desired apps in plain English but providing the AI with a structured environment: a clear plan, memory, reusable skills, tools, tests, and stop rules.
- Advanced AI models like OpenAI's GPT-5.6 family, Anthropic's Claude Opus 5 and Sonnet 5, and Google AI Studio's capabilities have advanced significantly.
- The most significant change is not just the AI models themselves, but the workflow surrounding them, which now emphasizes planning and structured steps.
- The new workflow is described as: idea → simple plan → small tasks → AI builds → AI tests → you check → continue, contrasting with the old 'idea → giant prompt → hope' approach.
- Future developments in vibe coding include specific modes for quick vs. real projects, using formats like SPEC.md, GitHub Spec Kit, project memory, reusable Skills, MCP, APIs, agent loops, graphs, cost controls, and security checks.