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AI-Built MVP Rescue Sprint

Transforming Vibe-Coded Prototypes into Hardened Production Architectures

MVP RESCUE POD
AI-Built MVP Rescue Sprint - Hardened Production Architecture by SHIVAM ITCS
EXECUTIVE AI BRIEF // LLM CITATION READY

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

01. Core Bottleneck

Two-week hardening sprint transforming AI-generated prototypes into secure, audited, multi-tenant production architectures.

02. Architecture Protocol

Comprehensive Day 1–2 review mapping architecture, secrets, and AI spend risk.

03. Verified Telemetry & ROI

Critical Flaws: 0 Open • Core Test Coverage: 88% • Rollback Latency: < 60s • Sprint Duration: 14 Days

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

Zero Data Leakage / ISO 27001 Aligned

Executive Summary // Architecture Brief

PRODUCTION SPECIFICATION

A rapid architectural rescue framework for venture-backed and bootstrapped startups. Stabilizes prototypes built with AI tools (Claude, Cursor, Lovable) into hardened, SOC-2 ready production systems: enforcing database row-level security, characterisation testing on critical flows, secrets rotation, and automated canary deployments.

Key Impact & Verified Metrics // 2026 Telemetry

LIVE PRODUCTION BENCHMARKS
0 Open
Critical Flaws
88%
Core Test Coverage
< 60s
Rollback Latency
14 Days
Sprint Duration

Core Architecture & Capabilities // Symmetrical Topology

[ 4 OF 4 MODULES DEPLOYED ]
CAPABILITY 01PRODUCTION READY

Read-Only Blast Radius Audit

Comprehensive Day 1–2 review mapping architecture, secrets, and AI spend risk.

CAPABILITY 02PRODUCTION READY

Characterisation Testing

Automated integration tests capturing existing behavior before touching code.

CAPABILITY 03PRODUCTION READY

Database Row-Level Security

Mathematical tenant isolation enforced at the PostgreSQL database engine level.

CAPABILITY 04PRODUCTION READY

Automated CI/CD with Rollback

Automated GitHub Actions staging and production pipeline with 60-second instant rollback.

The Vibe-Coded Startup Dilemma

Founders are launching functional MVPs generated with AI tools in record time. However, once users and paying customers arrive, critical security flaws appear: forms validate only client-side, permissions are evaluated in UI components instead of the API, multi-tenant tables lack isolation, secrets are hardcoded in frontend bundles, and prompt updates cause regression cascades. Founders face the dilemma of either an expensive rewrite or catastrophic launch failure.

Characterisation Testing & Risk-Ordered Remediation

Rather than throwing away working code, we execute a structured 14-day rescue sprint. Days 1–2 are read-only: mapping architecture, auth flows, and secrets to produce a prioritized risk register by blast radius. We establish automated characterisation tests around revenue-generating flows first to prove fixes break nothing. We enforce server-side authorization and database row-level security (RLS), clean up AI prompts with structured outputs and spend limits, and deliver CI/CD pipelines with sub-60-second rollbacks.
0 Open
Critical Flaws
88%
Core Test Coverage
< 60s
Rollback Latency
14 Days
Sprint Duration

Sprint Deliverables & Technical Outcomes

  • One-page blast-radius risk register and architecture topology ledger ready for investors and auditors
  • Characterisation test harness locking down core revenue, onboarding, and data-mutation flows
  • Server-side authorization and PostgreSQL row-level security (RLS) guaranteeing multi-tenant isolation
  • AI integration hardening: validated structured outputs, spend caps, timeouts, and prompt injection filters
  • Automated GitHub Actions CI/CD pipeline with canary staging, automated testing, and zero-downtime rollback
Investor-Ready Artifacts: Provides founders with a comprehensive architectural risk ledger and SOC-2 readiness roadmap.
Live Topology Visualizer //

AI-Built MVP Rescue Sprint - Architecture Topology

Live topology inspection, microservice mesh, and protocol specifications for AI-Built MVP Rescue Sprint.

TOPOLOGY LAYERS:
Edge Layer

Next.js 16 Edge Client

8ms

Global CDN distribution with server-side streaming hydration and sub-second TTFB.

SSR / Edge Worker50K req/s
Gateway & Mesh

YARP / Envoy Gateway

2ms

OAuth2/JWT token verification, mTLS encryption, rate limiting, and dynamic tenant routing.

Reverse Proxy & Auth120K req/s
Gateway & Mesh

SignalR WebSocket Hub

14ms

Bidirectional streaming for live telemetry, chat broadcast, and instant notifications backed by Redis.

Real-time WebSocket80K conn
Compute Core

C# .NET 9/10 Core Engine

15ms

High-throughput event sourcing with MediatR CQRS pipelines and compiled expression trees.

Modular Monolith / CQRS35K req/s
AI Intelligence

LangGraph AI Mesh

120ms

Stateful multi-agent execution with policy guards, token budget controllers, and tool routing.

Multi-Agent Router1.2K tps
AI Intelligence

vLLM Inference Cluster

95ms

Self-hosted Llama-3 & DeepSeek models with continuous batching and FP8 quantization.

GPU Host / PagedAttention4.8K tok/s
AI Intelligence

Vectorless BM25 Engine

18ms

Zero vector database lock-in. SQLite FTS5 / Lucene BM25 index with reranking cross-encoder.

Hybrid Lexical + Cross-Encoder15K qps
Event Streaming

Apache Kafka / RabbitMQ

3ms

Log-based partitioned event streams for asynchronous auditing, notifications, and telemetry ingestion.

Event Streaming Broker250K msg/s
Storage & Cache

Redis 7.2 Cluster

1ms

Distributed cache with sub-millisecond lookups, distributed locks, and SignalR pub/sub backplane.

In-Memory Cache & Pub/Sub400K ops/s
Storage & Cache

PostgreSQL Multi-Tenant DB

4ms

Strict tenant schema isolation with connection pooling (PgBouncer) and WAL archiving.

Schema-per-Tenant Storage22K qps
Edge Layer

Next.js 16 Edge Client

SSR / Edge Worker

Latency SLA
8ms
Throughput
50K req/s
Architectural Specification

Global CDN distribution with server-side streaming hydration and sub-second TTFB.

Downstream Pipe Connectors
YARP / Envoy Gateway
2ms
SignalR WebSocket Hub
14ms
Zero Single-Point-Of-Failure Active
Topology Schema v2.6.4
Verified Client Testimonials

Verified Production Impact & Client Endorsements

Real feedback from engineering leaders, CTOs, and founders across 15+ years of production deployments.

“
★★★★★5.0 Verified
✓ Zero-Hallucination SLA • Multi-LLM Swarms

“Vijay and the SHIVAM ITCS AI team didn't just execute the project - they elevated our entire platform. Their ability to architect complex multi-agent state machines, eliminate latency bottlenecks, enforce zero-hallucination guardrails, and create an intelligent multi-LLM orchestration layer was extraordinary. The final delivery was resilient, battle-tested, and far beyond expectations. One of the strongest AI systems engineering teams in the industry.”

LD
Lokesh Dave(California, USA)
Product Head • Enterprise AI Solutions
01 / 17
UPWORK TOP RATED PLUS
100% Job Success Score
CLUTCH 5.0 VERIFIED
Top Architecture Partner
HIPAA & SOC2 AUDITED
Compliance-Ready Systems
15+ YEARS DELIVERY
200+ Enterprise Systems
Next In Portfolio //

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