AI code refactoring
Code generated by AI can work, but underneath it’s often unreadable, insecure, and impossible to develop further. We take over such a project, clean it up, and bring it to a state where you can safely keep building on it.
The problem
When "it works" isn't enough
Applications built mainly by AI, in so-called vibe-coding, come together fast, but often fail to account for maintenance and further development. They mix sources of truth, mix languages, and stitch solutions together on the fly. These symptoms tend to recur.
Lack of understanding
The code is assembled from many generated fragments. It works, but nobody knows why, or what will happen after even a minor change.
Security gaps
No data validation, keys hardcoded, open API endpoints — during generation these issues are easy to overlook.
Lack of stability
The absence of tests and structure turns development into firefighting. One new feature breaks the others.
Lack of scalability
The architecture works fine with a handful of users, but can't cope with a greater volume of work and a larger team.
How we work
From audit to code that's ready for development
We analyze what you already have, then propose the scope of work best suited to your needs. We offer refactoring, code review, optimization, or even writing the application from scratch, based on an AI-generated template. We don’t push you into unnecessary work — we do what pays off most for you.
Code and security audit
We review the structure, dependencies, and vulnerabilities. You’ll receive a report assessing the current state along with recommendations, with no obligation to proceed further.
Refactoring and cleanup
We tidy up the structure, remove duplicates, and unify the style. The code becomes readable for a human, not merely executable by a machine.
Tests and a safety net
We add tests around the key logic so that subsequent changes don’t break what already works. This is a prerequisite for safe development.
Preparation for growth
We improve the architecture wherever it blocks growth, and document the project so that your team can take it over.
Rewriting from scratch
If fixing it would cost more than writing it anew, we’ll say so plainly. The decision to write new code is one we make together with you.
Documentation and handover
We describe the architecture and the decisions precisely, so that they’re clear to you and your team.
Results
What do you get?
We take over the code and show you exactly what changes. Refactoring isn’t cosmetic. We lay a solid foundation — readability, security, and readiness for further development.
Starting point
- Code that nobody fully understands
- No tests, changes made "by feel"
- Vulnerabilities and access credentials in the code
- Development stalls at the first sign of growth
- Dependence on a single author or tool
After the work
- Readable code that the team can explain
- Tests protecting the key logic
- Vulnerabilities removed, secrets properly managed
- Architecture ready for growth and new features
- Documentation that allows the project to be taken over
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01Audit and recommendationsAn assessment of the state of the code and its security, plus a list of priorities.
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02Refactoring and testsCleaning up the code, removing susceptibility to errors, adding tests.
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03Rebuilding for scaleImproving the architecture or rewriting critical modules, preparing the project for scalability.
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04Rewriting the codeRewriting the code from scratch — from an AI draft to a fully-fledged product.
Our approach
How we approach such projects
Refactoring AI-generated code is an area where it’s easy to promise too much. At GOTOMA Software House, we focus on substance.
First we assess whether it's worth it
Sometimes fixing is cheaper than rewriting, sometimes the reverse. We tell you after the audit, before you commit to a budget.
A human understands every change
We may draw on AI during the work, but behind every decision there's a specialist who can explain what was changed and why.
We work in line with your policy
If the code is confidential, we adapt our tools to your requirements — all the way to local solutions, without sending data to the cloud.
No magic, and with evidence
We show results concretely: what we fixed, what we tested, and what remains to be done in subsequent stages.
Find out what state your code is in
Send us access to the repository or describe the project. Together we’ll establish the state of the code and work out a proposed scope of work, tailored to your goal.
