
The Debug Premium: Why Agencies Charge 3x More to Touch AI-Generated Code
Key Takeaways AI-generated code can look cheap until maintenance begins. Agencies charge more when the first task is code discovery. Missing docs, tests, and patterns
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Founder & CEO
With over 18 years of experience at the forefront of digital product innovation, Aditya Bhimrajka is the Founder and CEO of Miracuves Solutions. His expertise spans AI, SaaS, Cloud, DevOps, and Full-Stack Development, where he blends strategic product vision with deep technical knowledge to architect scalable and secure software solutions. Having delivered 3,900+ apps and 9,000+ projects for startups and enterprises worldwide, Aditya is a trusted advisor to founders and CXOs, guiding business leaders on leveraging custom software development and automation to navigate market evolution and achieve their growth goals.

Key Takeaways AI-generated code can look cheap until maintenance begins. Agencies charge more when the first task is code discovery. Missing docs, tests, and patterns

Key Takeaways Supabase connection limits can crash AI-built apps when every user action opens too many database connections. Founders, users, admins, backend systems, and database

Key Takeaways AI-built marketplaces often fail when money routing gets complex. Escrow, split payments, refunds, and payouts need structured logic. Payment APIs provide rails, not

Key Takeaways Stripe payment desync happens when Stripe marks a payment as successful but the AI app database does not update correctly. Founders, users, admins,

Key Takeaways AI-built MVPs can hit API rate limits when frontend logic repeatedly triggers the same external request. Infinite loops can increase OpenAI, Google Maps,

Key Takeaways OAuth fails when callback URLs do not match exactly. AI builders often hardcode localhost or wrong redirect paths. Google and Apple login need

Key Takeaways A checkout screen can show success while the database stays empty. AI-generated frontends often hide weak backend transaction logic. Orders, payments, inventory, and

Key Takeaways AI apps often work during demo testing but crash when real users create unpredictable load patterns. Founder-built MVPs can fail because AI-generated code

Key Takeaways Exposed API keys can turn an AI app into a security, billing, and data-leak risk. AI-built MVPs often place secrets in frontend code,

Compare AI-generated app security risks with structured clone app logic. This founder-focused guide explains why prompted syntax can create hidden security debt, how clone architecture supports stronger workflows, and when startups should stop patching AI-generated apps and move to a scalable white-label foundation.
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