Forensic Codebase Rescue, Security Hardening & 2-Week Onion Architecture Refactoring
Built with vibes, stuck before launch? In 2026, executives everywhere face the same wall: AI-generated prototypes dazzle in demos but collapse under massive code bloat, duplicated logic, hallucinated dependencies, hardcoded secrets, missing auth checks, and zero test coverage. Led by Principal Architect Zeeshan Dad Khan, we audit, secure, and refactor fragile AI codebases into clean Onion Architecture in 2 to 4 weeks.
Solving the "Built with Vibes, Stuck Before Launch" Dilemma
Whether your prototype was generated in Cursor, Claude Code, Lovable, Bolt, Replit, or v0, we systematically eliminate architectural debt and turn it into an enterprise-grade asset.
Line-by-line architectural and static/dynamic security inspection to uncover circular dependencies, OWASP Top 10 & LLM prompt-injection vulnerabilities, race conditions, and architectural dead-ends.
Measurable Business Impact: Gives leadership an exact severity-ranked remediation matrix and fixed rescue timeline within 5 business days.
We untangle monolithic 3,000-line AI-generated files into strict Onion / Clean Architecture layers (Domain, Application, Infrastructure, API/UI) while stripping away 30–50% redundant dead code.
Measurable Business Impact: Restores developer velocity and enables new features to ship in hours without breaking unrelated modules.
We purge hardcoded OpenAI, Vertex AI, and Stripe keys from client bundles, implement a zero-key ASP.NET Core 10 BFF proxy with Google Cloud ADC or Azure Managed Identity, and enforce tenant-isolated RBAC.
Measurable Business Impact: Eliminates credential theft, unauthorized cross-tenant data leaks, and runaway API billing attacks.
We resolve hallucinated or conflicting NuGet/npm/Python dependency trees, fix runtime assembly loading crashes, eliminate ORM N+1 query storms, and stabilize multi-turn AI context with Anchor & Delta logic.
Measurable Business Impact: Up to 10x faster API response times and rock-solid stability under concurrent production traffic.
AI coding tools rarely write meaningful tests. We build deterministic unit, integration, and adversarial edge-case test suites (xUnit, Playwright, and LLM evaluation harnesses) around your core business logic.
Measurable Business Impact: Catches regressions automatically on every pull request so future changes never break production.
We containerize your stack with Docker, configure zero-downtime GitHub Actions CI/CD, and author clean human- and agent-readable architecture runbooks (CLAUDE.md / .cursorrules) for your team.
Measurable Business Impact: Empowers both human engineers and coding agents to ship safely at 3x speed after handover.
Proven Rescue & Production Engineering
We don't just lint your files—we apply 20+ years of Principal C#/.NET systems mastery and battle-tested production AI patterns to rescue complex software under tight deadlines.
Entangled legacy and AI-generated codebases routinely mix SQL queries, LLM SDK calls, and UI state inside monolithic controllers while crashing at runtime due to "impossible" transitive NuGet/assembly version conflicts.
Using our signature 2-Week Onion Architecture refactoring sprint, we extract pure C# Domain and Application contracts, unify dependency graphs via Central Package Management, and isolate external SDKs behind clean Infrastructure adapters.
Full Onion Architecture transformation in a record 2 weeks, 30–50% less code bloat, zero assembly conflicts, and 100% unit-testable domain logic.
Vibe-coded AI apps typically call OpenAI or Gemini directly from the frontend using exposed API keys and naive chat history arrays that hallucinate and lose identity context after 3 turns.
We retrofit the exact architecture powering our flagship VisionFlow AI platform (10,000+ users): a zero-key ASP.NET Core 10 BFF proxy using Google Cloud Application Default Credentials (ADC) paired with our Anchor & Delta Context Engine.
Zero exposed client credentials, deterministic multi-turn context fidelity, and production scalability proven across 10,000+ active users.
AI-generated backends frequently execute heavy ML inference, PDF parsing, or image generation synchronously inside HTTP request threads—causing 504 Gateway Timeouts as soon as 10 concurrent users join.
Applying our LuminaEdit production pattern, we decouple request ingestion from execution using ASP.NET Core 10 Minimal APIs, resilient background queues, dedicated PyTorch MPS / CUDA workers, and live SignalR WebSocket progress streaming.
Eliminates HTTP timeouts completely while delivering sub-25ms API ack latencies and real-time progress telemetry.
Vibe-coded prototypes often route every keystroke, OCR check, or image crop to frontier cloud LLMs without caching or rate limits—burning thousands of dollars in API credits during beta testing.
We implement Redis semantic caching, per-tenant token circuit breakers, and offload routine vision/speech tasks to zero-cost local Edge AI (ONNX Runtime, CoreML, Whisper Tiny, and browser pipelines proven on visionflowai.app/tools).
50–70% reduction in monthly cloud inference spend and instant local execution with zero unnecessary server uploads.
Codebase State Comparison & 4-Step Rescue Process
Why smart founders and CTOs refactor their validated AI prototypes into Onion Architecture instead of shipping vulnerable code or wasting 6 months rewriting from zero.
| Engineering Dimension | Shipping Raw Vibe-Coded Prototype | Traditional 6-Month Scratch Rewrite | KCC 2–4 Week Vibe Code Audit & Rescue |
|---|---|---|---|
| 1. Time to Production Launch | Stalls indefinitely at "90% done" due to cascading regression bugs. | 4–6 months of lost market momentum rebuilding existing UI/UX. | 2–4 Weeks Total (Week 1 Forensic Audit + 2-Week Onion Refactor + CI/CD Launch). |
| 2. Architecture & Code Bloat | 30–50% duplicated dead code; tightly coupled UI, DB, and LLM calls. | Clean architecture, but discards 100% of working prototype assets. | Preserves UX & Domain Rules while refactoring into modular Onion Architecture. |
| 3. Security & Credential Safety | Hardcoded API keys, missing RBAC checks, and SQL/prompt injection risks. | Delayed until late-stage security review months down the road. | Immediate Hardening — ASP.NET Core 10 zero-key BFF, GCP ADC, JWT/OAuth2, OWASP shields. |
| 4. Test Coverage & Reliability | Zero automated tests; every new prompt breaks three existing features. | Tests written slowly alongside greenfield development. | xUnit & Adversarial Test Harness locking down critical domain paths and edge cases. |
| 5. Future AI Agent Velocity | Coding agents hallucinate inside bloated files and circular imports. | Requires months before agents can work on the new repo. | Agent-Ready Handover — Clean module boundaries + CLAUDE.md runbooks for 3x speed. |
We inspect your repository to catalog architectural dead-ends, OWASP and prompt-injection vulnerabilities, N+1 database bottlenecks, exposed secrets, and dependency version conflicts.
We untangle spaghetti AI-generated code into clean, modular Onion / Clean Architecture layers (Domain, Application, Infrastructure, API/UI) while stripping away 30–50% dead code bloat.
We implement unit and integration test coverage (xUnit and adversarial edge-case tests), proper JWT/OAuth2 authorization flows, and zero-key secret management via ASP.NET Core 10 BFF and cloud IAM.
We Dockerize the application, configure automated GitHub Actions deployments with OpenTelemetry observability, and hand over clean human- and agent-readable documentation (CLAUDE.md / architecture runbooks).
Rescue & Modernization Stack
Whether your codebase started in an AI app generator or a legacy .NET solution, we refactor it into a clean, compiled, and observable enterprise stack.
We rescue stalled repositories generated across C#/.NET, TypeScript/Next.js, Python/FastAPI, and hybrid mobile stacks—stabilizing entangled backends or migrating fragile prototypes into high-performance ASP.NET Core 10 and .NET MAUI.
Strict separation of concerns with pure Domain entities, CQRS Application handlers, Entity Framework Core 10 query optimization, SignalR real-time hubs, and zero-key BFF gateways.
Google Cloud ADC, Azure Managed Identity, Key Vault, OAuth 2.0/OIDC RBAC, rate limiting, and OWASP Web/LLM Top 10 remediation.
Semantic Kernel, Anchor & Delta multi-turn state isolation, Redis semantic caching, and local ONNX Runtime / CoreML offloading.
Deterministic xUnit domain suites, Testcontainers database integration tests, Playwright E2E checks, and adversarial LLM prompt harnesses.
Multi-stage Docker builds, automated GitHub Actions pipelines, OpenTelemetry tracing, and CLAUDE.md agent guardrail files.
Frequently Asked Questions
Answers on timelines, Onion Architecture refactoring, security remediation, and preserving your prototype investment.
Unattended AI code generators optimize for immediate visual demos rather than system integrity. As prompts accumulate, they introduce 30–50% duplicated dead code, tight coupling between UI components and database calls, hallucinated or conflicting NuGet/npm packages, hardcoded API keys, missing tenant authorization checks, and zero automated test coverage.
Rarely. Through our 2-Week Onion Architecture refactoring methodology, we preserve your validated product workflows, domain rules, and UI design while systematically extracting business logic into a clean C#/.NET Core domain layer, eliminating 30–50% dead code bloat, and wrapping third-party APIs in testable infrastructure adapters.
We complete our 360° Forensic Codebase and Security Audit in Week 1 and execute full Onion Architecture refactoring, security hardening, and CI/CD productionization in 2 to 4 weeks—backed by our proven track record of refactoring entangled production codebases into clean Onion Architecture in a record 2 weeks.
We purge hardcoded OpenAI, Vertex AI, and database credentials from client bundles and git history, implement a zero-key ASP.NET Core 10 Backend-for-Frontend (BFF) proxy using Google Cloud Application Default Credentials (ADC) or Azure Managed Identity, enforce strict JWT/OAuth2 RBAC policies, and add OWASP Top 10 and prompt-injection shields.
Yes—in fact, AI coding agents perform dramatically better after our cleanup. We hand over a modular Onion Architecture codebase complete with xUnit regression guardrails, automated GitHub Actions CI/CD pipelines, and structured agent-readable architecture runbooks (CLAUDE.md) so future vibe coding never regresses into spaghetti.
Confidential Codebase Rescue
Share your repository stack, current blockers, and target launch window. Every audit request is covered by strict NDA confidentiality and reviewed directly by Principal Architect Zeeshan Dad Khan within 24 hours.
Zeeshan Dad Khan
