A new paradigm where you "fully give in to the vibes" (Andrej Karpathy)
Embrace AI to write 95% of your codebase
Shift from being a programmer to being a "product engineer"
Make 10-100x productivity gains by leaning into AI coding tools
Cursor - Most popular IDE for vibe coding with comprehensive code understanding
Windsurf - Fast-growing alternative that indexes your entire codebase
Claude 3.5 Sonnet/3 Opus - Top models for everyday coding tasks
Claude 01/03 - Reasoning models for debugging complex issues
ChatGPT - Used specifically for reasoning through debugging problems
Roll not fix - Rewriting is cheaper than debugging (just retry from scratch)
Prompt in parallel (run multiple AI sessions on different features simultaneously)
Focus on rapid iteration rather than perfect code
Human taste is now more important than coding skill
Zero-to-one product development (speed is everything)
Feature prototyping and rapid iteration
Projects where scale isn't an immediate concern
Simple to moderately complex applications
When working with modern, well-documented frameworks
Develop system thinking and architecture skills (AI still struggles here)
Cultivate product taste and user empathy
Learn to judge the quality of AI-generated code
Debugging remains a critical human skill
Focus on the "why" and "what" rather than the "how"
Vibe coding gets you to MVP quickly, but scaling requires expertise
Hire systems thinkers for complex infrastructure challenges
Technical debt accumulates faster - plan refactoring strategically
Critical systems may require more traditional approaches
Balance quick development with architectural considerations