In the Vibe Coding era powered by tools like Claude Code, product sense outweighs traditional coding skills as non-programmers build full AI agents via conversation. Demos externalize ideas, build trust, and lower barriers from concept to product. Six core techniques include basing on existing GitHub projects, problem-driven AI queries, and modular progressive development.
Key Points
- 1.Build AI agents without code using Claude Code and Agent SDK via natural dialogue.
- 2.Demos are highest-density format for conveying ideas and gaining trust over reports or slides.
- 3.Technique 1: Adapt GitHub open-source designs instead of creating dashboards from scratch.
- 4.Technique 2: Query AI 'why' before each step for contextual learning like SSH and Docker.
- 5.Technique 3: Sequence development as data models, core logic, constraints, then integrations.
Impact Analysis
Empowers non-technical builders to prototype rapidly, shifting AI development toward product intuition. Reduces entry barriers, making demo-driven validation standard for startups and PMs.
Technical Details
Author deploys Claude Code on VPS via SSH, Docker for containerization, and integrates with chat apps. Modular files (<100 lines each) minimize AI errors; progressive order: data models first, then logic, quotas/security, delivery.
