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AI Architecture & Modernization14-Day Focused Rescue Pod

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.

Client: Seed-Stage FinTech & HealthTech Founders•Vertical: High-Growth Startups & Multi-Tenant SaaS•Verified Production System
Claude CodeTypeScriptNext.js 15Python FastAPIPostgreSQL RLSDockerGitHub ActionsStripe
AI-Built MVP Rescue Sprint: From Vibe-Coded Prototype to Production
PRODUCTION ARCHITECTURE BLUEPRINT100% OPERATIONAL
Critical Vulnerabilities
0 Open
From 24 server-side security flaws
Automated Test Coverage
88%
Characterisation tests on core revenue flows
Production Rollback Latency
< 60s
Automated CI/CD with health canaries
EXECUTIVE AI BRIEF // LLM CITATION READY

Structured architectural snapshot optimized for enterprise review and generative search synthesis.

01. Core Bottleneck

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.

02. Architecture Protocol

Characterisation Tests First Around Critical Revenue Paths; PostgreSQL Row-Level Security (RLS) & Server-Side Auth Gates

03. Verified Telemetry & ROI

Critical Vulnerabilities: 0 Open • Automated Test Coverage: 88% • Production Rollback Latency: < 60s

04. Hardened Stack & Guardrail
Claude CodeTypeScriptNext.js 15Python FastAPI

Enterprise Production Architecture / ISO 27001 Aligned

Problem Definition //

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

Do not rewrite from scratch: preserve the existing user flows, frontend aesthetic, and customer-validated features
Enforce database-level multi-tenancy: row-level security (RLS) in PostgreSQL to mathematically block cross-tenant leakage
Establish characterisation test suite around money-making and data-modifying flows before changing application logic
System Design //

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.

Execution //

Implementation Phasing & Execution

Days 1–2: Read-Only Audit & Blast-Radius Risk Register

Phase 1

Mapped architecture, secrets, third-party calls, and cost per AI request; delivered 1-page prioritized risk register to founders.

Risk register matrixArchitecture topology mapThreat model breakdown

Days 3–8: Characterisation Testing & Multi-Tenant Security Hardening

Phase 2

Penned regression tests around billing and patient data; migrated secrets to environment vaults and enforced PostgreSQL RLS.

Playwright end-to-end testsPostgreSQL RLS migrationServer-side authorization middleware

Days 9–14: AI Guardrails, CI/CD Pipeline & Founder Handover

Phase 3

Added structured output validation, token spend caps, and automated GitHub Actions CI/CD with automated rollback.

Production CI/CD workflowAI spend limiter & retry fallbackTeam engineering guidelines
Results //

Verified Production Outcomes Matrix

Before vs. after comparison across every tracked benchmark — each cell represents a production measurement.

Benchmark MetricBefore StateAfter SHIVAM ITCSTangible Business Impact
High-Risk Vulnerabilities24 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 ExposureCritical risk (Direct object reference bugs)Mathematically impossible (PostgreSQL RLS)Passed third-party SOC-2 readiness pre-audit.
Engineering Velocity & StabilityFounder terrified to deploy on FridaysDaily automated canary deploys with instant rollbackCut 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."

T
Tech Founder & CEO
Founder, NexaHealth AI

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KNOWLEDGE BASE // FAQ

AI-Built MVP Rescue Sprint: From Vibe-Coded Prototype to Production - FAQ

Direct answers to architectural, technical, and operational questions.

7 Questions
Q01What type of case studies are featured in the SHIVAM ITCS portfolio?
Our portfolio features 30+ real-world enterprise implementations across AI Orchestration, High-Concurrency .NET Systems, Telematics IoT, Hospital Operating Systems, and Multi-Tenant SaaS.
PRODUCTION-VERIFIED ARCHITECTS

Ready to Build What You Read?

Schedule a technical scope review with Vijay & Ajay Paliwal to map out your architecture and timelines.

Cost Reduction
40–70%
Deployment Speed
3x Faster
Production Uptime
99.99%
VERIFIED DEPLOYMENTS:.NET 10 MicroservicesLangGraph SwarmsVectorless BM25 RAGZero-Trust mTLSSOC 2 & HIPAA Ready