Audit before rewriting
Review the critical user journeys, dependencies, data flow, and error reports. You receive a prioritized view of the risks, with a distinction between immediate fixes and improvements that can wait.
Your prototype has potential. We turn AI-generated code and growing technical debt into a secure, maintainable product you can confidently build on.
FROM PROTOTYPE TO PRODUCTION
Illustrated transformation · Clear boundaries. Stronger code.
↳KEEP THE PRODUCT. IMPROVE THE SYSTEM.
We start by understanding what already works. Then we separate urgent defects from structural improvements and make changes in reviewable stages, with the product’s existing behavior as our reference.
A SMALL REFACTOR. A CLEARER PRODUCT.
function checkout(input: any) { const total = input.qty * price saveOrder(input) return <Receipt total={total} />}Review input types and separate the order logic.
Trace a checkout failure back to unchecked input and mixed responsibilities.
Review the critical user journeys, dependencies, data flow, and error reports. You receive a prioritized view of the risks, with a distinction between immediate fixes and improvements that can wait.
Untangle oversized components, consolidate repeated logic, add useful types, and clarify the boundary between UI, business rules, and data access. We preserve working features and explain intentional behavior changes.
Exercise authentication, forms, payments, or other critical flows relevant to your product. Add focused regression coverage, check loading and failure states, and document remaining issues before handoff.
To get started: repository access, setup instructions, the main user journeys, and the bugs or constraints you already know about. We propose a scoped first milestone before any broader refactor.
01WHAT CHANGES
Keep the product you imagined. Give it the structure, performance, and clarity it needs to grow.
Dead code removed, loops unrolled, queries optimized. Load times drop. Users stay.
Modular, SOLID architecture means your codebase grows gracefully — not painfully.
We fix AI modules producing incorrect or unexpected outputs alongside race conditions and faulty error boundaries — eliminating whole classes of instability in large projects.
Exposed API keys, insecure logic, and hardcoded credentials are detected and closed. Your app and user data stay protected.
Readable code is fast code. New hires ramp up in days, not weeks. PRs review in minutes.
Professional standards throughout — audit-ready, well-commented, fully documented, and secure.
Nightly Solutions audits and improves existing software, including AI-generated prototypes. We prioritize defects and technical debt, refactor the agreed areas, and verify important user journeys before handing the code back.
02FROM START TO SHIP
A careful, structured approach to improving your product. Every change has a reason, and every handoff comes with context.
01CODE TRANSFORMATION
We start with a deep review of your existing codebase — no surface-level scan. We identify inefficiencies, technical debt, dependency risks, and performance bottlenecks before writing a single line.
02CODE TRANSFORMATION
We clean up your code systematically — improving naming, removing redundancy, standardizing patterns, and applying best practices. Functionality is preserved. Clarity is maximized.
03CODE TRANSFORMATION
We scan for and close vulnerabilities before they become incidents — exposed API keys, hardcoded credentials, insecure endpoints, injection risks, and misconfigured permissions.
04CODE TRANSFORMATION
We identify and fix AI modules that start producing incorrect, hallucinated, or inconsistent outputs — tracing root causes in prompts, context windows, data pipelines, and model integrations.
05CODE TRANSFORMATION
Every change is verified. We run unit tests, integration tests, and regression checks to ensure stability, functionality, and backward compatibility. We don't ship until we're certain.
06CODE TRANSFORMATION
We hand over clear, structured documentation — inline comments, architecture overview, change logs, and maintenance guidelines — so your team owns the cleaned codebase from day one.
03BUILT FOR YOUR NEXT CHAPTER
You moved fast, broke things, and now you're paying the interest on that technical debt. We clear it — so you can ship features again, not fix regressions.
Managing multiple client projects with inconsistent code quality across your team? We standardize and clean across your whole portfolio — one codebase at a time.
Need a second set of expert eyes before shipping? We review, refactor, and harden your code so you can confidently hand it off to a client or team.
Running a legacy system that's become a bottleneck? We modernize and stabilize it without the risk of a full rewrite — keeping everything running while we work.
04IN THEIR WORDS
Vibe Code Cleanup transformed our app — everything runs faster, our team can finally breathe, and onboarding new devs went from two weeks to two days.
Alex R.
Startup FounderThe process was surprisingly fast and professional. They found issues we'd been living with for years and fixed them without a single production incident.
Maria K.
Product ManagerOur legacy codebase felt like a minefield. After the cleanup, our dev velocity doubled and our on-call pages dropped by 80%. Worth every cent.
James T.
CTO, Scale-upCode cleanup is the process of analyzing, refactoring, and optimizing your existing codebase to make it cleaner, more efficient, and maintainable. This includes removing dead code, standardizing patterns, fixing performance bottlenecks, and applying industry best practices — without changing any functionality.
We can review exposed credentials, authentication, input validation, and access controls as part of the agreed audit. Findings are prioritized and remediation is documented; the scope and depth of security testing are defined before work begins.
We review AI-generated code for incorrect assumptions, nonexistent APIs, and integration errors. If the product also uses AI models, we can scope prompt, retrieval, and evaluation work to reduce unreliable outputs. No AI system can be guaranteed to be correct every time.
Most projects are completed within 1–4 weeks, depending on the size and complexity of your codebase. Small to mid-sized projects typically turn around in 48–72 hours. We'll give you a precise estimate after the initial audit.
We aim to preserve the intended product behavior while fixing defects and improving structure. Intentional behavior changes are discussed, and agreed critical flows receive regression checks before delivery.
We specialize in all major languages and frameworks including JavaScript, TypeScript, Python, PHP, React, Next.js, Node.js, and more. If your stack isn't listed, reach out — we likely cover it.
Absolutely. Every project includes a full handoff package: inline code comments, an architecture overview, a detailed change log, and maintenance guidelines so your team understands what was done and why.
Both options are available. Most clients start with a one-time cleanup and then choose ongoing retainer plans for continuous code health monitoring, reviews, and incremental improvements.
MORE THAN A HANDOFF
A GOOD PLACE TO START
Tell us what you have in mind.
We'll work out the possibilities together.