Designed for seed to Series A AI startups scaling beyond prototype stage.
Stop Your AI Codebase From Collapsing. We Stabilize It in 10 Days.
Restore velocity, reduce risk, keep talent, get fundable code.
We rescue codebases built with AI but without expert validation. AI code review for funded startups that turns fragile vibe code into production-ready systems. Technical due diligence, architecture integrity, and scaling risk—so you can raise and scale with confidence.
Who This Is For
Seed to Series A AI startups scaling beyond prototype. CTOs, technical CEOs, and founding teams building with Cursor, Claude, or other AI tools.
You shipped an MVP fast. Now you need the codebase to scale without collapsing—and to hold up under investor scrutiny, technical due diligence, and 10x user growth.
Not for: large enterprises or 50-person eng orgs with dedicated platform teams.
Led by a senior AI-first engineer. You work directly with me, no junior handoff, senior-level review.
Built for Investor-Ready Tech
VCs and technical leads think in risk-adjusted returns. We address the risks that matter at the table: architecture integrity, rewrite probability, and scaling exposure.
Technical due diligence
Our audit delivers the clarity investors and technical partners expect: what's salvageable, what needs rewriting, and what could block a round or scale-up.
Architecture integrity pre–Series A
Reduce rewrite probability and engineering scalability risk. Get a codebase that supports hiring, growth, and follow-on rounds—not a liability in the data room.
Investor confidence
Demonstrate that you take tech risk seriously. A structured assessment and remediation plan signals maturity and reduces perceived scaling risk.
How to Get Started
Three entry points. Start free, then choose the right level.
Start here
Free Mini Cleanup Report
See your 5 biggest AI-code risks and how to fix them. Answer a few questions → get instant insights + next steps. No strings attached.
Get Free Mini ReportNext step
AI Code Audit Sprint
Deep-dive audit with prioritized roadmap. We identify duplication, security gaps, flaky logic, and deliver a cleanup plan you can execute or hand to us.
Book Your AuditFull stabilization
Stabilization Week
Hands-on cleanup: remove dead code, consolidate duplicates, fix critical security issues, stabilize flaky logic. Get a codebase you can build on.
Get Your Cleanup PlanYou Probably Need This If…
Funded teams need clarity before the cost of delay grows. Self-identify.
- You're hiring your 2nd engineer and the codebase has to be onboardable
- You're scaling to 10x users and infra or logic is already creaking
- You're preparing for Series A and want the data room to hold up
- Burn rate is rising while shipping velocity is dropping
- Infrastructure or deploys feel unstable; you're one incident away from a crisis
- You've heard 'we'll rewrite it later' one too many times
Classic Vibe Coding Symptoms
Do you recognize these? AI-generated code without expert review leads to these problems, and to velocity, talent, and fundraising risk.
- Massive code duplication and redundant implementations
- Unused code and dead functions everywhere
- Security vulnerabilities from AI-generated patterns
- Flaky logic that breaks unpredictably
- Inconsistent patterns across the codebase
- Tests that fail randomly or don't test real behavior
- Devs afraid to touch parts of the codebase
- Shipping features slower with more bugs
- Constantly patching instead of solving root problems
- Onboarding new engineers takes forever
- Can't raise with this codebase. Investors will ding your tech.
- Burn rate goes up as velocity drops
Our Methodology
We don't sell a one-off service—we apply a structured audit methodology. Funded teams buy frameworks.
Scoring model
The AI Stability Index™
A 10-point code health score across duplication, dead code, security, flakiness, and scalability. You get a number and a clear path to improve it.
Risk map
The AI Architecture Risk Map™
Visualize where rewrite probability and scaling risk live in your codebase. No guesswork—prioritized by impact and effort.
Framework
The AI Scaling Integrity Framework™
Assess → Stabilize → Harmonize. A repeatable process to move from fragile vibe code to production-ready systems that scale.
How We Apply It: Three Steps
The AI Scaling Integrity Framework™ in practice.
Assess
Week 1
Identify duplication, unused code, security gaps, and flaky patterns. Map what's salvageable vs. what needs rewriting.
Stabilize
Weeks 2-4
Remove dead code, consolidate duplicates, fix security issues, and add proper tests. Stop the bleeding and restore confidence.
Harmonize
Ongoing
Establish consistent patterns, proper architecture, and expert-reviewed code. Transform vibe code into production-ready systems.
Outcomes
Measurable improvements that matter.
Proof & How We Work
Case studies from free audits, demo walkthroughs, and our process. AI-generated code stabilization examples so you know what to expect.
“The audit surfaced risks we hadn't considered: prompt leakage, duplicated logic across 40+ files. Got a prioritized roadmap that made sense for our timeline.”
Example audit breakdowns
AI SaaS MVP: duplication and prompt leakage
Before: 40+ duplicated API handlers, shared prompts in client code, no centralized tests.
After: Risk map with 12 high-priority items, refactor list with effort estimates, prompt centralized.
Estimated 2-3 days saved per sprint; security exposure removed.
AI SaaS MVP: Pre-Seed
AI-generated code stabilization: duplication, prompt leakage, and flaky tests. Risk map plus refactor list. Estimated 2-3 days saved per sprint.
Read moreVibe Code Stabilization
Inconsistent AI-generated patterns, flaky tests, no architecture. Full stabilization delivered production-ready foundation.
Read moreDemo walkthroughs
See how we assess a codebase. Three walkthroughs coming soon. We document our process in public.
Insights & processOur cleanup process
We document our method so you know what to expect. More coming weekly.
Read on InsightsWhy You Need This
The cost of NOT fixing vibe code keeps growing.
Slowing Down Your Team
Every change feels like defusing a bomb. Your team spends more time debugging than building. Velocity drops as complexity grows.
Constant Firefighting
You're patching symptoms instead of solving problems. Production incidents increase. Technical debt compounds daily.
Team Morale Suffers
Developers avoid touching parts of the codebase. Onboarding takes weeks instead of days. "We'll rewrite it later" becomes the norm.
Business Risk Grows
Security vulnerabilities lurk in AI-generated patterns. Scaling becomes impossible. Competitors move faster while you're stuck.
Ready to stabilize your AI-generated code?
Get your free 10-point AI Code Health Report to see your top risks, or start your Audit Sprint for a clear cleanup plan.