SquareNeo – Vibe Coding vs. Spec-Driven Development for a Dev Team

Starting point

The development team was already using AI tools here and there, but without a shared vision. The question: how do you use AI pragmatically and professionally to develop more efficiently, produce clean code and release safely, instead of blindly trusting prompts and chasing “speed at any cost”?

Solution

A hands-on talk of 1.5 to 2 hours on-site, followed by a consulting session:

• Two paradigms compared: vibe coding (“build, then fix”) vs. spec-driven development (80% preparation, then targeted use of coding agents)
• Tools compared: Cursor, GitHub Copilot and Lovable
• Best practices from real projects: rules, project plans, conventions, prompt engineering
• Two live demos: a full-stack app in Cursor and a SaaS prototype in Lovable
• Limits and pitfalls: from package versions to code ownership

That last point decides whether AI-generated code can safely go to production. Our checklist for it: Taking vibe-coded apps to production.

Technology stack

• Cursor & GitHub Copilot (AI coding agents compared)
• Lovable (rapid SaaS prototyping)
• Spec-driven development (rules, project plans, docs, conventions)
• Prompt engineering for development teams

Result & Impact

• 1.5 to 2 hours on-site with two live demos and three tools compared side by side
• A shared vision for the professional use of AI in the development process
• Concrete tool and workflow recommendations, ready to apply within the team
• Awareness of the limits: code ownership, quality assurance and typical pitfalls