The AI Fixer

For years, tech companies have been caught in a predictable cycle: Build the MVP, grow fast, then try to optimize costs by outsourcing development to cheaper offshore teams. Six months later, the codebase is a disaster zone of inconsistent patterns, technical debt, and mysterious bugs.

Enter the expensive consultants to clean up the mess.

This cycle used to take months. With the AI coding revolution, it can happen in weeks.

Welcome to Vibe Coding

When you let LLMs write code unattended, they engage in what we lovingly call “vibe coding.” They pick up the general vibe of what you want and run with it. Need a user authentication system? Sure, the AI will build something that feels like auth, follows some best practices it remembers, and probably works for the happy path.

But vibe coding means:

• Assumptions get baked into the code without documentation
• Patterns drift as the AI interprets requirements differently across files
• Edge cases get ignored because they weren’t part of the “vibe”
• Security considerations get approximated rather than properly implemented

The result? Technical debt accumulates faster than ever before. What used to take offshore teams months to mess up, AI can accomplish over a weekend.

Enter the AI Crime Scene Cleaner

I recently spoke with a company that’s positioned perfectly for this new reality. They used to get called in after offshore development projects went sideways - classic Winston Wolf territory. But now they’re seeing something different.

Companies are experimenting with AI-generated code, letting it run wild for rapid prototyping or feature development. The initial results look promising. Everything seems to work. Then, a few weeks later, the bugs start surfacing. The authentication breaks under load. The data validation has gaps. The API responses are inconsistent.

The sheer volume of code being written is increasing with the use of AI. More code means more potential for issues. More bugs to track down and fix.

Instead of months of accumulated offshore mistakes, it’s weeks of AI vibe coding run amok.

The New Economics of Cleanup

This creates a fascinating new market dynamic. The traditional cycle of building, outsourcing, watching things fall apart, then calling in fixers is getting turbocharged. Now it’s build with AI, watch problems emerge, then deploy the cleanup crew.

The frequency is higher, but the patterns are more predictable. AI makes similar types of mistakes across projects (it is after all learning on all the bad code out there in the wild). The fixers who understand these patterns - the AI Winston Wolfs - can work faster and more efficiently than ever before.

They know that when AI builds an e-commerce cart, it probably forgot about tax calculations for international orders. When it creates a social media feed, the pagination is likely broken. When it builds authentication, the password reset flow probably has security holes.

I Fix AI Problems

The companies that position themselves as AI code crime scene cleaners won’t just survive the coming wave of vibe coding disasters - they’ll thrive. They’re the Winston Wolfs of the AI age: calm, competent, and ready to make your problems disappear.

Because in a world where everyone can generate code, someone still needs to make sure it actually works.