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AI Project Rescue - Code Review & Engineering

Your AI-Generated App Got You Live.
What Happens When Real Users, Real Money, or Real Scrutiny Show Up?

The Post-Launch Reality

Before release, an AI tool can tell you the code runs — it isn't built to catch what breaks after: an edge case nobody typed into the prompt, a query that's fine at ten users and locks up at ten thousand, an auth path nobody stress-tested.

An investor asks how the app was actually built, and "we used AI" doesn't answer what comes next — who checked the authentication, who reviewed the payment flow, who's responsible if it breaks in front of a paying customer. A production bug surfaces during business hours and there's no one who wrote the code to explain it. A first enterprise deal stalls because someone asked for a security review nobody has scheduled.

You Don't Need a Rewrite.

None of that means the app needs to be rebuilt. It means nobody has audited it yet.

We review the repository, tell you exactly what's fragile and why, and fix it in place where fixing it in place is the right call — the same decision we made on a Lovable-built app that needed two specific fixes, not a rewrite, to clear Apple's App Store review.

What We Deliver ?

Lovable-Built App

Audited a Lovable-built casting marketplace app, fixed a subscription-validation gap and an iOS plugin incompatibility, and secured Apple App Store approval — a one-month engagement, delivered in 2026.

AI Code Audit

Audited a 30,000-line, AI-generated procurement SaaS codebase spanning 150+ API integrations. The client's team went from unable to safely touch the code to fully confident to own and extend it themselves.

Replit Agent Audit

Audited a Replit Agent-generated meeting-minutes platform for a local-government software client. Confirmed the core — auth, dashboards, user management — was already solid, and preserved it instead of rebuilding. Two-month engagement, completed in 2025.

"I'd started building it myself using AI tools, but reached a point where I needed a team who could take that foundation, stabilize it, and keep building safely without the risk of breaking what already worked. TechAvidus did exactly that."

ML
Mike Lehrack
Co-Founder, Group Match Finder

"We built our MVP quickly with Lovable, but we needed experienced engineers to take it further. TechAvidus quickly understood the existing codebase, improved stability, and helped us confidently move toward production. Mansi and Megha were responsive, proactive, and great to work with..."

F
Founder
Cybersecurity Platform

"They were very responsive and the quality of the work was good — always receptive to feedback and responsive to our concerns. I'd happily recommend them, especially Megha as the Project Manager and Savan as the Developer."

MQ
Marcos Queiroz
Director, Rapido (Quality Ref)
Vulnerability Matrix

Where AI Projects Usually Break

AI platforms get you to development quickly, but auto-generated codebases often fracture under real-world conditions without structured engineering.

01
Requirements Misunderstood

AI builds precisely what was typed into the prompt engine... not what your scaling business model actually required.

02
Architecture Limitations

The localized file prototype works seamlessly inside the sandbox. Real-world concurrent users arrive, and infrastructure layers slow down.

03
Security Vulnerabilities

Exposed configuration variables, missing endpoint authentication keys, insecure dependencies, and systemic authorization loops.

04
Technical Code Debt

Highly duplicated functions, bloated source scripts, absent code standards, and disorganized folder structures that block expansion.

05
Integration Fault Lines

Payment processors, complex ERP environments, or external CRM frameworks. LLMs struggle to bind decoupled platforms securely.

06
Superficial Code Validation

AI rarely tests for nested exception errors, cross-platform performance bottlenecks, thread concurrency, or real database stress.

The TechAvidus Advantage

Why Founders Choose TechAvidus to
Stabilize Their AI-Generated Codebase

105+ Team Members | 11+ Years in Software & AI Engineering | 92% Client Satisfaction Rate
Top Rated Plus on Upwork (4.8/5) Google (4.7/5) Highly Rated On Clutch & GoodFirms
Audit-First Approach

We audit before we touch anything — no fixes start until you have a written risk report in hand.

Honest Assessment

We'll tell you if it's a rebuild, not a rescue — even though that's a smaller engagement for us.

Verifiable Delivery

Named, verifiable delivery, not a pitch — live and stable after our audit and fix.

Independent Expertise

Not a guess from AI, and not a single freelancer — an independent audit, with a written record.

Verified Impact Milestones
Apple App Store approval secured successfully
30,000-line codebase stabilized without full rewrite
Existing prototype preserved, optimized, & extended
Commercial Transparency
ISO 9001:2015 Certified

No multi-month contracts signed upfront. We divide our engagement into transparent, self-contained phases where every scope is priced and approved before it's starts.

Phase 01
Audit & Risk Report
Credited toward execution if continued.
Phase 02
Stabilize & Fix
Patching security & scale faults.
Phase 03
Document & Handover
Full ownership transfer.

Is This You?

Check if your current situation matches our core audit criteria before your next scaling milestone

You shipped rapidly with Lovable, Bolt, Replit, or another AI platform, and no senior engineer has reviewed the codebase since.
You have a critical milestone ahead—an investor pitch, a security audit, or a hard launch date—and need clarity on hidden break points.
You've inherited an AI-generated product and must verify architectural stability before committing to scale.

If any of these sound familiar, our diagnostic audit gives you an exact roadmap.

Request Your Code Audit
Audit Preview
Security & Architecture 3 Vulnerabilities
AI-generated endpoints checked: Auth loops & env config.
Scalability Health Ready to Stabilize
No full rewrite required — inline patching recommended.

AI Doesn't Replace Developers.
It Makes Great Developers Faster.

AI Output
Code Review
Architecture
Security & QA
Production Ready
Core Methodology

Our Vibe Coding Rescue Services: What We Deliver

Whether you call it an AI project rescue, an application stabilization, or an AI code cleanup, our engagement is cleanly divided into three distinct, structured pillars:

Audit & Risk Analysis

Not a re-write, pure diagnostic review.

A structured deep-dive into your existing codebase to spot hidden architectural and security vulnerabilities.

Key Checkpoints:
  • Repository & architecture review
  • Auth, data & payment pathways
  • Dependency & third-party package audit
  • Ranked risk report by severity
Outcome: A written, ranked list of what's fragile before you spend a time on code fixes.
Stabilize & Refactor

Targeted fixes inside existing codebase.

Fixing specific surface faults in priority order through precise refactoring without discarding working elements.

Key Checkpoints:
  • Scoped directly from audit findings
  • Live edge-case & failure testing
  • No disruptive parallel rebuilds
  • Pre-execution re-scoping checkpoints
Outcome: Failure points are permanently resolved and fully verified, not merely patched over.
Document & Handover

Total ownership transfer.

Complete documentation and technical debt tracking so your codebase never remains dependent on us or external developers.

Key Checkpoints:
  • Change logs & technical documentation
  • Prioritized tech-debt roadmap
  • Production-readiness security check
  • Seamless internal or other team onboarding
Outcome: Your team can pick up development immediately without reverse engineering.
Supported Stacks & Verified Track Record
Cross-functional framework expertise with proven client deployments.
React Node.js .NET Core PHP Laravel Supabase Java Spring

How We Work — Take Your Prototype to Production

A clean, transparent, step-by-step pathway from initial review to full production stability:

01
Request Your Code Audit

Submit repository access and your primary concern. No complex scoping meetings needed to begin.

Instant Intake
02
Review Risk Report

Receive a ranked fragility list. If core modules are solid, we tell you directly without padding the scope.

Zero Obligation
03
Fixes Ship Against List

Approved fixes deploy directly into your live application with zero surprise invoice additions.

Direct Deployment
04
Total Independence

Maintain full control—keep working with us, pass it to your in-house team, or scale independently.

Full Ownership
Transparent Commercials

Pricing Philosophy

Every AI-generated codebase arrives in a different state. We scope and price per engagement rather than selling rigid packages, ensuring you approve costs phase by phase.

Audit & Risk Review Fixed, One-Time Fee
Depends on: Codebase size & framework complexity.
Includes: Repository & architecture review with prioritized risk report.
Excludes: Implementation of code fixes (handled in Phase 2).
Know what's fragile before committing further.
Stabilize & Fix Scoped Post-Audit
Depends on: Gap between what exists in app and production readiness, and deployment complexity.
Includes: Specific audit-surfaced fixes applied in priority order and tested against the live application.
Testing: Verified directly against your live application.
Target code refactoring without full rewrites.
Document & Handover Modular Handover
Depends on: Documentation depth required for your team.
Includes: Architecture maps, change logs, & tech-debt roadmap.
Readiness: Full production deployment security check.
Full team independence upon completion.
Flexible Engagement Model

Engagement Flexibility & Timelines

Every engagement is transparent, milestone-driven, and completely under your control—no long-term commitments or hidden surprises.

01
Phase-by-Phase Control

Every project phase is approved separately so you're never locked into a multi-month contract before seeing real value.

  • Independent approval for every phase
  • Stop anytime after the initial audit
  • No upfront long-term lock-in
02
Tailored Timelines

Audit & stabilization timelines depend on codebase size. We scope your actual timeline after the audit, not before it.

  • Timelines built on audit findings
  • Fastest case: 1-mo. live app stabilization
  • Realistic, achievable delivery expectations
03
Transparent Costs

Project fees cover engineering work only. Infrastructure, APIs, and hosting remain separate and fully visible.

  • No hidden engineering fees
  • Hosting & API usage billed directly
  • Clear, predictable milestone pricing

Let's Review Your Codebase Together

Get a realistic roadmap, effort estimate, and expert recommendations before investing in development.

Request a Scoping Call

Our AI Rescue Process

1 Discovery & Alignment
2 AI Code & Dependency Audit
3 Architecture & Integrity Review
4 Refactoring & Code Modernization
5 Comprehensive Edge-Case Testing
6 Secure Production Deployment

We Rescue Projects Built With

Cross-platform integration architecture mastery

Get Your AI Confidence Score

Find out if your AI-generated codebase is ready for production or if it needs human engineering intervention.

Receive your score (0-100), top risks identified, and a personalized AI Code Refactoring recommendation.

AI Anomalies We Fix

LOOP_ERR
"My AI generated thousands of duplicate files."
Resolve: We map clean architecture boundaries, isolate modular scopes, and prune code bloat.
ENV_FAIL
"Works fine locally, but constantly crashes in production."
Resolve: We script modern environment synchronization, database pooling, and stable CI/CD tracks.
LIMIT_CTX
"Cursor & Lovable hit a wall with my backend logic."
Resolve: Models drop context windows on deep servers. Our human engineers step in to build bulletproof APIs.
AUTH_BREAK
"AI fails to cleanly sync our legacy ERP/CRM APIs."
Resolve: We program standard high-security webhooks, custom schemas, and enterprise data pipes.

Why TechAvidus

AI + Senior Engineers

Not just generic prompting—true algorithmic design and code maintenance.

Production Experience

Enterprise assets in Healthcare, FinTech, Logistics, and scaling Startups.

Architecture First

We don't apply surface-level hotfixes. We stabilize the core system architecture.

Transparent Delivery

Rigorous version control code reviews, documentation, and automated sprints.

Real AI Rescue Examples

How our engineering framework intercepts code degradation.

ID: 01

AI Built MVP Rescue

SEV_01 // ARCH_FAULT

A startup hit a wall when their AI-generated prototype began looping logic, bloating storage architectures, and executing unauthenticated routines.

Broken Core

Duplicated loops, zero session protection, and corrupt database constraints.

Remediated state

Refactored modular scopes, enterprise RBAC guards, and streamlined CI/CD branches.

ID: 02

Cursor Workspace Stabilization

Workspace State Crash

Spaghetti UI rendering structures, dropped API data frames, and constant race condition crashes.

Engineering Pipeline Overhaul

Built global state architectural stores, fail-safe route layers, and a verified production launch track.

ID: 03

Legacy AI Migration

COMPLIANCE_HARDENING
Legacy Failure Log: Prototype engines choked completely on active concurrent requests; unmanaged prompt lines leaked regulatory perimeters.
System Remediation: Migrated codebases to microservices, ran penetration audits, and locked down HIPAA/GDPR validation channels.

AI Doesn't Fail.
Projects Fail When There's No Engineering.

AI is one of the most powerful development tools ever created. But successful software still depends on architecture, critical thinking, domain expertise, testing, and experienced engineers. At TechAvidus, we combine AI speed with human intelligence to deliver software that's built for production—not just demos.

Built Something with AI?

Let's turn your code foundations into enterprise-ready software frameworks.

Free AI Project Review Talk to an Expert
SYS_RESCUE_OPTIMIZATION
STATUS: COMPILED
Architecture & Clean Directory State
100% SECURE
Authentication & Auth0/RBAC Mapping
VERIFIED
Database Schema Multi-Pooling
OPTIMIZED
Edge-Case Automated CI Tracks
99.8% STABLE

10x

Infrastructure Scale

0%

Code Redundancy

Frequently Asked Questions

The fastest example we can point to is one month, start to finish, on a live production app — most engagements land in that range, though the exact number depends on your codebase's size and condition. We confirm your real timeline once the audit is done, not before.

We ask for repository access and a short description of your situation, then review the codebase and send back a ranked risk report — what's broken, how severe it is, and what order to fix it in. You decide from there whether to move into stabilization.

The audit is a fixed, one-time fee — we don't publish a number because it depends on codebase size and scope, and a single figure would be misleading for most repositories. That fee is credited toward the engagement if you continue past the audit.

Yes. The audit is fixed-price, agreed before we start. Stabilization work after that is scoped and priced per phase, so you approve the cost of each step rather than signing one open-ended contract.

Yes — that's the specific goal of the Document & Handover phase. You get documentation of what changed and why, plus a prioritized list of what's still outstanding, so your team, or your next hire, isn't dependent on undocumented knowledge to keep building.

No, not by default. Lovable-built apps are exactly what this service audits and stabilizes most often — Lightz Camera Action is one example, live on both app stores today. A rebuild only comes up if the audit finds the core architecture itself is unstable, not just individual bugs.
Get Started

Ready to Find Out Exactly What's Fragile in Your Codebase?

One audit, one written risk report, and a straight answer on whether this needs a rescue or a rebuild.

Request Your Code Audit
What Happens in the Audit

We review your repository and architecture, check authentication, data handling, and payment paths where they apply, and rank what we find by severity. You get a written risk report before anything else happens — not a sales pitch.

What You Walk Away With

A codebase with its critical risks identified and addressed, a clear map of its architecture and dependencies, a production-safe deployment path, and a prioritized list of what's still worth fixing next. Whether you keep building with us or hand it to another team, nothing about it stays undocumented.