Service 02

AI-Built Product
Rescue

Cursor, Lovable, Replit, Bolt, v0, GitHub Copilot, ChatGPT, Codex, and no-code AI builders can help you move fast. When the prototype hits scaling, security, architecture, or maintainability limits, we assess, plan, and turn it into a production-grade system.

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The Promise

AI coding tools and builders let non-engineers or small teams ship working software in weeks. Real, impressive prototypes. Real validation.

The Reality

The codebase is hard to maintain. Scaling is near impossible. Engineers hired to grow the product find a system that resists change.

The Solution

A methodical technical audit and incremental remediation plan. Not a rewrite. A systematic path from prototype to production.

The Warning Signs

Does Your AI-Generated Codebase Show These Symptoms?

These aren't edge cases - they're the consistent patterns we find in AI-generated products, vibe-coded apps, and no-code/AI-builder prototypes that come to us for rescue.

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Cursor, Lovable, Replit, Bolt, v0, Copilot, ChatGPT, Codex, or another AI builder got it started - now engineers won't touch it

Works in staging, breaks under real user load

No separation of concerns - business logic in UI components

Direct database calls from frontend routes

No authentication, no authorization, no input validation

Deployment is manual SSH into a single server

0% test coverage, no ability to refactor safely

Security vulnerabilities reviewers won't sign off on

The Audit

What We Review in the Technical Assessment

Architecture Review

Separation of concerns, dependency direction, coupling and cohesion analysis. We map what you actually have vs. what's needed for production.

Data Model Audit

Schema review, ORM usage, query patterns, N+1 problems, missing indexes, transaction boundaries.

Security Assessment

Authentication flows, authorization gaps, injection vectors, secrets in code, dependency vulnerabilities.

Test Coverage Baseline

Current coverage measured, critical path identified, testing strategy defined before any refactoring begins.

DevOps & Deployment

CI/CD pipeline assessment, environment parity, container strategy, release process risk.

Performance Profiling

Load test, identify bottlenecks, measure baseline response times and memory usage under realistic load.

The Process

From Prototype to Production

Codebase Triage

Week 1-2

We inspect the codebase, architecture, dependencies, and critical user paths. The output is a concrete picture of what's there, what's broken, and what's missing.

Remediation Plan

Week 3

Prioritized, phased plan. What must be fixed before it costs you users. What can be deferred. What can be lived with. Real tradeoffs, not platitudes.

Test Coverage First

Month 2

Before touching production code, we write tests for existing behavior. This is how we refactor safely - not by guessing.

Systematic Refactoring

Months 2-6

Domain model extraction, API layer, infrastructure concerns separated. Each change is tested, code-reviewed, and deployed incrementally.

Production Hardening

Final Phase

Observability, alerting, rate limiting, load testing, security hardening, runbook documentation. You ship with confidence.

"The assessment gave us a practical path forward: what to keep, what to refactor first, and what had to be rebuilt before launch."

Founder, AI-assisted MVP

Codebase audit · remediation roadmap

Know What You're Dealing With

A Technical Assessment gives you the full picture: what's actually wrong, what it costs to fix, and what order to fix it in. Three weeks. Fixed price. Actionable output.

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AI-Built ProductRescue