An AI-built app can pass every test and still be wrong
Lovable, Bolt, v0, Cursor, and Claude Code get you to a working demo fast; real users then find what the tests missed. Our AI code audit reads the code line by line and ranks every issue by urgency.
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Products we have built and hardened for production, at every scale from a first MVP to Stepler's 10M+ downloads.
When you definitely need a code review
Whether a person wrote it under deadline pressure or an AI tool generated it, the code decides what your product can survive. A few signals mean it is time for an outside read.
An AI tool wrote most of it
Apps from Lovable, Bolt, v0, Cursor, or Claude Code can demo well with access control running only in the browser and too little logging to show what failed.
Development is slipping
Writing code is taking longer than planned, comments are thin, and there is no consistent documentation to fall back on.
You are changing developers
A review smooths the handoff between teams, establishes a standard coding style, and saves new developers the time they would spend guessing.
Security is a doubt, not a fact
If nobody can say with confidence how access control and data handling actually work, that is the review talking before it happens.
You are about to raise or scale
Before funding, real users, or load past a prototype hits the app, this is the moment to know what is actually underneath it.
The builder isn’t the maintainer
Whoever inherits the codebase deserves an honest map of it, not a surprise three months into ownership.
The source code review process
A structured read of the codebase, not a skim. This is how we go from your repository to a report you can act on.
Assessment planning
A kick-off meeting to understand the idea, architecture, design, functionality, and business logic behind the code before we open a single file.
Scanning the code
Once the source is shared, we run a complete or partial pass to map vulnerabilities and exposures, and give you an estimate of timeline and milestones.
Manual line-by-line review
We study the code directly, checking formatting, architecture, and design principles, and reviewing the application as a whole for anything that could hurt performance or reliability.
AI-generated code, checked the same way
Code from Lovable, Bolt, v0, Cursor, or Claude Code gets the same rigor as human-written code, plus the failure modes specific to AI-generated output.
Report formation
A detailed report explaining every issue we found and how to fix it, categorized by urgency so you know what to act on first.
Why teams bring in a source code review
Beyond finding bugs: what a review actually changes for the team that has to live with the codebase afterward.
Saves time and money
A bug found in review costs a fraction of the same bug found by QA on a built app.
Easier to add new features
Once the source problems are fixed, expanding functionality gets faster.
Stronger performance
A review targets the frontend-backend exchange, scalability and security together.
Faster onboarding
New developers spend less time guessing at code nuances and more time writing it.
Compliance with standards
A review establishes a unified coding style and documentation that is easy to follow.
Knowledge sharing
Developers learn from each other and get a better read on the code, especially new joiners.
Code review checklist
What we actually check, in every review, human-written or AI-generated.
Scalability
Whether the code adapts to new requirements and holds up under a spike in usage.
Architecture principles
Modules, patterns, and whether the solution follows the architecture it claims to.
Code quality
Every issue categorized, with a recommendation on urgency and simplification.
Tests
Unit tests, coverage, and whether the suite is readable, maintainable and fast.
Security
Where code was written without security in mind, and what it would take to exploit.
AI-generated code
Missing server-side checks, no observability, architecture that holds only at prototype scale.
Technologies we review
The stacks we ship on are the stacks we read: JavaScript and TypeScript across frontend, backend, cloud and mobile, including AI-assisted code.
Frontend
React Development Next.js Development Angular Development JavaScript Development
Architecture
AI-assisted delivery
Engagement models
Three ways to bring us in. Pick the one that fits your stage. You can change it as your roadmap changes.
Dedicated developer
One senior engineer who stays on after the review, full-time on your codebase and fixing what it found.
- Full-time on one product
- Works in your tools and process
- Design, QA and code review behind them
- Monthly rate, scale up or down
Best fit for an ongoing roadmap with a steady flow of work.
Dedicated team
A cross-functional pod that works through the review findings end to end: engineering, QA, and code review, without you growing headcount.
- Engineers, design and QA in one pod
- Owns delivery end to end
- Ramps up without new hires
- Grows and shrinks with the roadmap
Best fit for a product that needs more than one pair of hands.
Project-based
A scoped code review or audit with a written report, delivered against a fixed plan, price, and timeline agreed before work starts.
- Scope agreed up front
- Fixed plan, price and timeline
- Delivered end to end
- Handover with the repo and docs
Best fit for a one-off audit before a raise, a sale, or a rewrite.
Code review, answered
The questions buyers ask before they scope a review. More in our guide to the vibe coding 80% problem.
What does an AI code audit cover?
Everything we check in human-written code, plus the failure modes specific to AI-generated output: access control that runs only in the browser, too little observability to see what failed, and an architecture that holds only at prototype scale. Code from Lovable, Bolt, v0, Cursor, Claude Code, or any other AI coding tool gets the same line-by-line review.
What does a review actually produce?
A detailed report: every issue we found, categorized by urgency, with explicit recommendations on how to fix it. You get a document your team can work from directly, not a verbal readout.
Do you review the whole codebase or just parts of it?
Either. After you share the source, we scope a complete or partial review depending on what you need and give you an estimate of timeline and milestones before starting.
Can you do the vibe coding cleanup after the audit?
Yes. The report ranks every issue by urgency, and the engineers who wrote it can fix them in that order, as a dedicated developer, a dedicated team, or a fixed-scope project. The report is also written so your own team can work from it.
Can you take over an app built in Lovable, Bolt, or v0?
Yes, starting with the audit. These tools generate standard code, mostly React on a hosted backend such as Supabase, which is a stack we build on, so the audit tells you what to keep, what to fix first, and where a rebuild would cost less than a fix.
How do we start?
We have shipped software since 2015, with a 5.0 rating on Clutch across 26 reviews and 640+ projects delivered. Start with a short call about the codebase, and we will recommend a scope rather than default to reviewing everything.
Contact our team
Our team contacts you within 24 business hours
We collect all the key requirements from you
The team of developers prepares estimation
We can sign NDA since we respect the confidentiality of our clients