Complexity without value.
Overengineering adds code and dependencies without improving the product. Each extra path increases risk.
AI Code Cleanup Production Hardening
AI Shipped the Prototype. We Ship Production.
We find what breaks under users, fix it in stages, and keep you shipping.
Free consultation · One-week paid audit · Evidence and roadmap
How Do You Know If the Code Is Ready?
You do not need to read code. We compare the system with your product goals, then show you the evidence.
01
Book a free consultation
The call is free. We learn your goals, data sensitivity, expected load, recovery needs, and release process. We confirm the audit scope and price before work starts.
02
Run the AI Code Health Audit
The paid one-week audit checks security, dependencies, code quality, development lifecycle, and architecture. We trace critical behavior, failure paths, and unnecessary complexity.
03
Receive evidence and a roadmap
You receive code references, severity, business effect, and priorities. The report explains whether the system is safe, scalable, reliable, and resilient enough.
Get Free Consultation
Free call · Fixed audit quote
Beyond Technical Debt
AI-built systems also accumulate unnecessary complexity, lost intent, and code that nobody can explain.
The original intent is missing.
Intent debt hides why decisions exist and which behavior is required.
The system is hard to understand.
Cognitive debt makes safe changes slow because engineers must reconstruct the system.
Generation outruns the delivery process.
Weak review, testing, deployment, and recovery practices let defects reach production faster.
Access and data rules are inconsistent.
Authorization differs across routes. Missing backfills leave old data outside expected rules.
Green tests hide failures.
Tests assert buggy output or mock failures. Green does not mean safe.
You do not need to read the code. The audit connects each risk to evidence and business effect.
How We Harden the System
After the audit, we implement practices that fit your goals.
Architecture simplification
We remove unnecessary layers and keep only the structure the product needs.
Development lifecycle
We strengthen reviews, tests, CI/CD, observability, and recovery.
Security and authorization
We centralize authorization, review trust boundaries, and close inconsistent access checks.
Performance and reliability
We remove query bottlenecks and define failure handling for expected load and recovery needs.
We use Twelve-Factor App principles, domain-driven design, or other methods only when they solve a verified risk.
Three Ways to Work With Us
Start with a free consultation. We confirm the audit scope and price before work.
Phase 01
AI Code Health Audit
The paid one-week audit has a fixed scope. You get an evidence-backed risk register and roadmap.
Best for
Teams that need evidence before they invest in hardening.
Phase 02
Targeted Refactor Sprint
We apply the roadmap in reviewable stages and use only the practices that fit the product.
Best for
Teams ready to implement a risk-ranked roadmap.
Phase 03
Reliability Retainer
Ongoing review, hardening, and fractional engineering leadership as the codebase grows.
Best for
Teams needing senior oversight while shipping with AI.
"AI changed who writes cheap code, not the cost of cleanup."
Make Your AI-Built App Survive Production
Free consultation. Fixed audit quote before work.
Get Free Consultation
One week - Fixed scope - Risk register and roadmap
Frequently Asked Questions
What is an AI Code Health Audit?
A paid one-week assessment after the free consultation. We check security, dependencies, code quality, development lifecycle, and architecture. You receive evidence, a risk register, and roadmap.
Do you rewrite the codebase?
Almost never. Rewrites freeze delivery and trade known bugs for unknown ones. We fix urgent problems, then stage structural changes so the system remains shippable.
Our app was built mostly with AI. Is that a problem?
No. AI is good at prototypes. Common failures such as inconsistent auth, late migrations, N+1 queries, and misleading tests are repeatable and fixable.
What do we get from the audit?
Each finding includes evidence, code references, severity, business effect, and a recommended action. The roadmap separates urgent risks from structural improvements.
Can you work with our existing engineering team?
Yes. We can hand your team the roadmap, own the refactor, or work with your engineers. Any code owner can use the deliverables.
How long does the audit take and how fast can you start?
One week from kickoff. We need repository access and preferably production logs and schema. Most audits start within days.
Do you only fix AI-generated code?
No. The same failures appear whenever code generation outruns system design. AI ships weak architecture faster; the cleanup work is unchanged.
What does it cost?
The consultation is free. We confirm the paid audit scope and price before work starts. Refactor and retainer work follows the roadmap.