Claim 1: AI accelerates existing developer expertise
AI autocomplete handles 95% of code generation for experienced developers using Cursor
AI autocomplete handles 95% of code generation for experienced developers using Cursor
Self-contained features like Spotify Wrapped clone can be built entirely with AI coding platforms
Production system maintenance requires understanding codebase architecture, debugging patterns, and infrastructure dependencies
Building a product once costs less than maintaining custom internal software long-term
Solo technical founders gain significant leverage with AI coding tools; non-technical founders face scaling limits
"Scaling those prototypes into production systems still requires technical literacy or partnerships with developers."
Kamil Banc
$2,400 MRR
WriteStack monthly recurring revenue with 120 paying customers built by solo founder using AI tools
95% code completion
AI autocomplete handles proportion of routine coding; developer fixes bugs and adjusts for infrastructure
$25
Cost to build self-contained year-end summary feature entirely through vibe coding platform
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Orel Zilberman's experience building WriteStack demonstrates that AI coding tools create meaningful leverage for developers with existing technical expertise. The distinction between AI-assisted development (where developers provide architecture and debugging) and pure vibe coding (for self-contained features) reveals that speed gains from AI come alongside unchanged requirements for system understanding. Non-technical founders can prototype quickly but face maintenance challenges when scaling, making the cost-benefit analysis favor buying established SaaS tools over building custom internal software.