If you have used AI tools to spin up a working SaaS prototype in a weekend, you already know the next problem: prototypes are fragile, and “it works on my machine” doesn’t survive real users. This book is written specifically to take care of that gap,teaching non-technical founders and AI-assisted developers how to turn quick AI-generated prototypes into maintainable, scalable products. (Amazon)
Smykowski, a professional software engineer who have helped unicorn startups integrate AI tools into their workflows, (Amazon) keeps things grounded in practice rather than theory. Core lessons include managing technical debt before it derails your product, applying separation-of-concerns and DRY principles to keep AI-generated code organized, and designing architecture that actually scales with growth. (Amazon) There is also coverage of introducing testing, version control, and security into fast-moving, AI-assisted workflows (Amazon),the exact areas non-technical builders tend to skip until something breaks in production.
Who this is for: non-technical founders and agency owners who have prototyped a SaaS product using AI coding tools and now need it to hold up for paying customers, especially relevant if you are managing client-facing products where downtime or security gaps directly cost you credibility.
Get the book here → https://amzn.to/3S01sXa
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