Clean Architecture for AI Teams

Fix the mess. Or prevent one. Scale your AI product with confidence, not chaos. Expert architecture consulting to refactor legacy code, prevent tech debt, and build maintainable AI systems.

What You Get

Refactor legacy codebases into maintainable, scalable architecture
Prevent tech debt before it starts with architecture-first design
Hands-on architecture reviews and code refactoring workshops
Modular, testable, and scalable code patterns
Best practices for AI integration without compromising architecture
Team onboarding and knowledge transfer
Real-world patterns from production AI systems
Works with your stack (F#, Rust, TypeScript, Python, etc.)
Fast turnaround with clear deliverables
Remote or on-site options available

Duration

Flexible (project-based or retainer)

Price

Custom (contact for quote)

Clean Architecture for AI Teams

Fix the mess. Or prevent one.

Most AI products start as prototypes. Fast iteration, proof of concept, get it working. That’s fine—until it isn’t. When your “quick and dirty” solution becomes the foundation of your product, you’re stuck. Tech debt compounds. Every feature takes longer. Debugging becomes archaeology.

We help AI teams escape this cycle. Not with theory, but with actual refactoring. We review your codebase, identify the real bottlenecks, and refactor the critical paths. Then we establish patterns your team can follow—clean architecture that scales with your product, not against it.

The Problem We Solve

Your AI product is growing, but your codebase isn’t. What started as a quick prototype is now a maintenance nightmare. Tech debt is accumulating faster than features, and your team spends more time debugging than building. Every new AI integration feels like duct-taping another layer onto an already wobbly foundation.

Sound familiar? You’re not alone. Most AI teams face this exact problem. The rush to ship wins, but eventually, the technical debt wins harder.

How We Work

We start with a deep assessment of your current architecture. No generic advice—we review your actual codebase, identify architectural bottlenecks, and create a refactoring plan that fits your timeline and constraints. Then we roll up our sleeves: refactor critical paths, establish patterns for AI integration, and leave you with a codebase your team can actually maintain. Think of it as code surgery, not demolition.

We work incrementally. Fix the critical issues first—the parts that are slowing you down right now. Then tackle the architectural improvements that prevent future pain. You’ll see improvements quickly, not after months of work.

Who This Is For

Startups and teams building AI products who are drowning in technical debt, or those about to scale and want to prevent it. If you’re shipping features but losing sleep over your code quality, this is for you.

We also work with teams who want to prevent problems before they start. Early-stage architecture consulting can save months of refactoring later. Better to establish good patterns from day one than to fix them under pressure.

We work with your stack, whether that’s F#, Rust, TypeScript, Python, or something else. Architecture principles transcend language—it’s about separation of concerns, dependency management, and testability.

Ready to Clean Up?

Whether you’re drowning in tech debt or want to prevent it, let’s talk. We start with a free assessment of your current situation and a realistic plan forward.

Frequently Asked Questions

How long does a typical refactoring project take?

It depends on the size of your codebase and scope, but most projects range from 2-8 weeks. We work in iterative phases—fix critical issues first, then tackle architectural improvements. You'll see improvements quickly, not after months of work.

Will this disrupt our current development?

We design refactoring plans that minimize disruption. We work alongside your team, refactor incrementally, and ensure production stays stable throughout. Most teams continue shipping features while we improve the foundation.

Do you only work with specific tech stacks?

No. We work with F#, Rust, TypeScript, Python, and more. Our focus is on architectural patterns that transcend language—separation of concerns, dependency management, and testability. The principles matter more than the syntax.

Can you help prevent tech debt, not just fix it?

Absolutely. Many engagements start before you hit a breaking point. We review architecture plans, establish patterns early, and help you make decisions that won't come back to haunt you in six months.

What makes your approach different from generic consulting?

We get into the code. No slide decks about 'best practices'—we review your actual codebase, write actual code alongside your team, and leave you with patterns you can follow. It's hands-on, not hand-waving.

Do you provide ongoing support after the initial refactoring?

Yes. Many clients continue with retainer agreements for architecture reviews, code reviews, and ongoing guidance as they scale. We're also available for one-off consultations when you hit tricky architectural decisions.

What if we're a very small team or early-stage startup?

Early stage is actually the best time to get architecture right. We work with solo founders and small teams—often preventing months of future pain by establishing good patterns from day one. Pricing is flexible based on your situation.