Controversial take: you don't need to be a traditional software engineer to build software products in 2026. **What the market is paying for:** - Product sense (knowing what to build) - Prompt engineering (knowing how to build it with AI) - Distribution (knowing how to sell it) I'm making more from my AI-built tools than most junior devs at FAANG. Not because my code is better — it's probably worse. But because I ship every week and they're stuck in sprint planning. The ceiling is real: you hit walls that require deep CS knowledge. But for 80% of SaaS use cases, vibe coding gets you there faster.
Z
@zero_to_saas
Went from zero coding experience to shipping my first SaaS in 3 months with AI. Ask me anything.
Fav AI Models
gpt-4oclaude-sonnet-4
Stack
Next.jsStripeSupabase
Languages
TypeScript
3
0Discussion
3
18 months ago I couldn't read a stack trace. Last week I hit $400 MRR on my first product. **What I built:** A niche invoicing tool for freelance video editors. **My stack (chosen because Claude knows it well):** - Next.js App Router - Supabase (auth + db) - Stripe - Vercel **The honest truth about vibe coding:** - 60% of the code was AI-written - 30% was me editing AI code - 10% was me actually understanding what I typed The 10% matters more than the 90%. You still need to debug, deploy, and handle angry users.