Original Summary

I'm seeing more founders get surprisingly far with Cursor, Lovable, Claude Code, Replit, etc. Far enough to validate the idea, build the core workflows, connect Stripe, get users in the product and sometimes start charging. But there's an awkward point between: “the MVP works” and “I'm comfortable trusting this with customers, payments and customer data.” That's the part I'm interested in. Not whether AI-generated code is inherently good or bad. More practical stuff: Can one customer access another customer's data? Are permissions enforced server-side or just hidden in the UI? What happens when a payment/webhook fails? Are database migrations and backups actually recoverable? Are secrets handled correctly? Are the critical revenue flows tested? Will anyone know what's happening when production starts throwing errors? And is the codebase maintainable enough that the next engineer doesn't immediately recommend rewriting it? I'm testing a service around exactly this problem: take an existing AI-built SaaS, review it for production risk, and harden what's already there instead of automatically rebuilding it. I'm looking for a few SaaS founders with something already working to pressure-test the process. If that's you, DM me your stack + what stage you're at or better yet the github repo. I'll take a quick look and send you the 3 areas I'd investigate first before scaling it further. I'm also curious: for founders who've already crossed this point, what made you finally bring in an experienced engineer?   submitted by   /u/Independent-Mail9433 [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/9/16 03:35:13