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Feature N+1 breaks features 1–5
Every new prompt fixes one thing and silently regresses two others. There are no tests.
Vibe Coding Rescue
Your AI-built MVP shipped. Now feature N+1 keeps breaking the rest.
Two weeks after demo day, your Lovable / Cursor / v0 / Bolt platform is the funnel. Every new prompt fixes one thing and breaks two others. Senior engineers don't rebuild it — we audit, refactor what's load-bearing, and hand back a clean codebase your team can keep using AI on.
~5%
Need full rebuild
The other 95% are saved with a targeted, surgical refactor.
50–70%
AWS savings
Right-sizing the over-provisioned defaults AI tools spit out.
2–4×
Faster delivery
Senior engineers + AI-accelerated workflows beat junior teams.
Sound familiar?
The symptoms of a vibe-coded platform that has hit its architectural ceiling.
Three weeks per feature, not three days
First 70% shipped in two weeks. Next 30% taking nine months. Architectural debt has compounded.
Cloud bill keeps climbing
AI generators default to over-provisioned configs. We've cut $1,200/mo bills to $80/mo with the same traffic.
Next engineer wants to throw it away
Every senior you interview says 'rewrite from scratch.' That's almost always wrong.
The 4-Step Rescue Process
Audit first, action second. The instinct to rebuild is wrong about 95% of the time.
Step 1 · 1–2 weeks · $3K–$5K
Code Audit
Senior engineer reads the codebase end-to-end. You get a written report covering: what's working, what's load-bearing AND broken, a remediation SOW with defensible hour estimates, and an AWS cost reduction estimate. Paid up front. Yours to keep regardless of what you do next.
Step 2 · Yours · Free
Decision Point
Take the audit and decide. Refactor with us, refactor with your in-house team, or shop the SOW with another vendor. The audit gives you module-by-module risk scoring and an honest call on rebuild — which is the right answer in roughly 5% of cases.
Step 3 · 4–8 weeks · $15K–$60K
Targeted Refactor
Fix load-bearing modules in priority order. Tests written before the refactor, not after. Deliverables: state-management consolidation, auth refactor (httpOnly cookies + refresh + middleware), database query audit and N+1 elimination, mobile responsive fixes, full test suite, and AWS right-sizing.
Step 4 · Optional · $0–$5K/mo
Hand-back + Optional Managed
Clean codebase delivered with a CLAUDE.md / CURSOR.md style guide so your team — or your AI tools — can keep building safely on top of it. Optional 24/7 monitoring and managed support if you'd rather we keep the pager.
FAQ
Almost never. Typical refactor 4–8 weeks. Rebuild of working platform 4–8 months and you regress on features users have. The math is rarely close.
Yes. We set up the codebase so AI-assisted development WITH the new architecture works — including a CLAUDE.md / CURSOR.md style guide.
Yes if you can't ship reliably. Revenue + flaky platform = customers churning quietly. Refactor pays itself back in retained customers + faster shipping within 3–6 months.
Start with the $3K–$5K audit. The audit IS valuable on its own — it gives you a prioritised list. Often you can DIY the top 1–2 fixes for almost no cost.
A platform built primarily with AI prompt-driven tools (Lovable, Cursor, v0, Bolt, Replit, Claude Code, GPT-4) without senior-engineer architectural review.
We say rebuild only when (1) data model is fundamentally wrong AND <100 users, (2) framework/runtime choice is genuinely inappropriate, or (3) codebase is so deeply coupled that any change breaks 5 unrelated things.
For mid-market platforms ($25K–$250K refactors), usually yes. For pre-revenue prototypes, better served by a senior freelancer on Toptal. For regulated industries, we partner with compliance specialists.
Don't rebuild. Audit first.
Senior engineers, AI-accelerated delivery, weekly billing on actual hours worked. Audit first, action second. The instinct to rebuild is wrong about 95% of the time.