AI-Built MVP Rescue Sprint: From Vibe-Coded Prototype to Production
Auditing, stabilizing, and securing rapid AI-generated prototypes into audited, multi-tenant SaaS platforms in under 3 weeks.
Structured architectural snapshot optimized for enterprise review and generative search synthesis.
A startup founder built an impressive, working web app using AI code generators (Claude, Cursor, Lovable, Replit). Early customers were paying and onboarding, but under the hood the codebase was a ticking bomb: forms validated only in the browser, authorization was checked in UI components instead of the API, multi-tenant data was commingled in un-indexed tables, API keys were exposed in bundle files, and every prompt tweak broke another feature.
Characterisation Tests First Around Critical Revenue Paths; PostgreSQL Row-Level Security (RLS) & Server-Side Auth Gates
Critical Vulnerabilities: 0 Open • Automated Test Coverage: 88% • Production Rollback Latency: < 60s
Enterprise Production Architecture / ISO 27001 Aligned
The Business & Architectural Challenge
A startup founder built an impressive, working web app using AI code generators (Claude, Cursor, Lovable, Replit). Early customers were paying and onboarding, but under the hood the codebase was a ticking bomb: forms validated only in the browser, authorization was checked in UI components instead of the API, multi-tenant data was commingled in un-indexed tables, API keys were exposed in bundle files, and every prompt tweak broke another feature.
Hard Technical Constraints
Key Architectural Decisions & Trade-Offs
Every major technical decision made during the engagement, with the trade-offs documented.
Characterisation Tests First Around Critical Revenue Paths
Rationale: Wrapped existing un-documented endpoints in comprehensive integration tests to capture existing behavior before refactoring.
Trade-Off: Invested initial 48 hours purely in automated tests rather than fixing immediate visual bugs.
PostgreSQL Row-Level Security (RLS) & Server-Side Auth Gates
Rationale: Replaced fragile client-side role checks with database-enforced session tenant IDs and secure Next.js server actions.
Trade-Off: Required refactoring all database connection pools to set tenant context dynamically.
Implementation Phasing & Execution
Days 1–2: Read-Only Audit & Blast-Radius Risk Register
Phase 1Mapped architecture, secrets, third-party calls, and cost per AI request; delivered 1-page prioritized risk register to founders.
Days 3–8: Characterisation Testing & Multi-Tenant Security Hardening
Phase 2Penned regression tests around billing and patient data; migrated secrets to environment vaults and enforced PostgreSQL RLS.
Days 9–14: AI Guardrails, CI/CD Pipeline & Founder Handover
Phase 3Added structured output validation, token spend caps, and automated GitHub Actions CI/CD with automated rollback.
Verified Production Outcomes Matrix
Before vs. after comparison across every tracked benchmark — each cell represents a production measurement.
| Benchmark Metric | Before State | After SHIVAM ITCS | Tangible Business Impact |
|---|---|---|---|
| High-Risk Vulnerabilities | 24 critical flaws (Client auth bypass, exposed keys) | 0 high-risk flaws (100% remediated) | Passed enterprise vendor security review, unlocking client enterprise annual contracts. |
| Cross-Tenant Data Exposure | Critical risk (Direct object reference bugs) | Mathematically impossible (PostgreSQL RLS) | Passed third-party SOC-2 readiness pre-audit. |
| Engineering Velocity & Stability | Founder terrified to deploy on Fridays | Daily automated canary deploys with instant rollback | Cut production bug reports by 92% and enabled confident onboarding of thousands of users. |
"The urge was to rewrite everything from scratch. SHIVAM ITCS did something far more valuable: they preserved our momentum, fixed the critical vulnerabilities in 2 weeks, and gave us an investor-grade engineering foundation."
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AI-Built MVP Rescue Sprint: From Vibe-Coded Prototype to Production - FAQ
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