AI coding tools ship features fast—while quietly accumulating architectural debt that will cripple your team in 12–18 months. Duplicated code is up 8×. Refactoring has dropped 60%. The patterns are predictable. The damage is preventable.
"AI-generated code is highly functional but systematically lacking in architectural judgment."
One-time "vibe coding rescues" don't work. The debt grows back within months. We embed with your team to catch drift before it compounds—so you never face another emergency refactor.
We embed with your team for continuous architectural review, not just emergency rescue after things break.
We focus on module boundaries, data flow, and abstraction layers—the strategic decisions AI cannot make.
We set up the rules, linting, and review processes that keep AI productive without accumulating debt.
Architects with 15+ years experience. Direct communication. The expertise your codebase needs.
The research is clear. AI-generated code follows predictable failure patterns—and they're already in your codebase.
AI adoption correlates with an 8-fold increase in duplicated code blocks. Copy-pasted lines now exceed refactored lines for the first time in GitClear's history of measurement.
Source: GitClear AI Code Quality Report (211M lines analyzed)The percentage of changes that involve refactoring dropped from 25% in 2021 to under 10% in 2024. AI adds new code but never consolidates existing patterns.
Source: GitClear AI Code Quality ReportAI creates single-use implementations instead of generalizable, reusable components. Every feature becomes its own island.
Source: Ox Security Research (300+ repos analyzed)AI defaults to tightly-coupled code, reversing progress toward modular systems. It rebuilds common functionality from scratch instead of using established libraries.
Source: Ox Security ResearchWhether your codebase needs emergency surgery or ongoing monitoring, we have the expertise to restore architectural sanity.
Ongoing oversight before problems compound. We review PRs, guide architectural decisions, and catch drift before it spirals.
Find out how bad it really is. We identify the specific anti-patterns causing pain and deliver a prioritized remediation plan.
Stop AI from creating more debt. Configure the guardrails that keep AI tools productive without accumulating problems.
When the codebase is already on fire. We do the refactoring work ourselves, restore architectural coherence, then set up prevention.
We don't start work until we understand the damage. You get a clear picture before committing to anything.
Tell us about your codebase and what you're experiencing. We review every submission personally.
We spend time in your actual code, understanding the architecture and identifying drift patterns.
Written findings with prioritized recommendations. This becomes our roadmap for any further work.
You decide: take the report and run, or continue with ongoing support or hands-on work.
"I don't think I have ever seen so much technical debt being created in such a short period of time during my 35-year career in technology."
Two minutes to tell us what you're dealing with. We'll take it from there.
Get Ahead of It →Most teams wish they'd reached out 6 months earlier.