Inherited, Undocumented
A previous agency or founding engineer left, and nobody currently on the team fully understands why the system is built the way it is.
An independent architecture, security, and technical-debt review of your existing product - with a direct, evidence-backed recommendation: keep building, refactor, or rebuild.
Definition
A code audit is an independent review of an existing codebase and architecture - looking at code quality, security posture, scalability limits, dependency health, and accumulated technical debt - to answer one practical question: should you keep building on this, refactor specific problem areas, or start over. It produces a prioritized findings report with severity ratings and rough fix-effort estimates, plus a direct recommendation backed by evidence rather than a generic sales bias toward whichever answer costs more.
The Problem
A previous agency or founding engineer left, and nobody currently on the team fully understands why the system is built the way it is.
Every new feature takes longer than the last, but there's no data to say whether that's normal growth or a real architecture problem.
Someone on the team wants to rebuild from scratch. Nobody can say with confidence whether that's the right call or an expensive overreaction.
What's Included
How the system is structured, where the coupling and bottlenecks are, and whether it can support your next 12 months of growth.
Authentication, authorization, data handling, dependency vulnerabilities - the issues that turn into incidents if left unfound.
Outdated or abandoned packages, dead code, and the debt that's quietly slowing every future feature down.
Where the system actually spends its time - database queries, N+1 patterns, unoptimized rendering - versus where people assume it does.
What's actually tested, what isn't, and how safe it is to ship a change today versus how safe it feels.
Every issue ranked by severity and estimated fix effort, plus a direct keep/refactor/rebuild recommendation.
Use Cases
Before handing an existing product to a new team, get an honest baseline of what you're actually inheriting.
Investors and acquirers increasingly ask for technical due diligence - an independent report is more credible than a founder's own assessment.
Get a data-backed answer to whether slowing feature delivery is normal scale-up friction or a real architecture problem.
Related: hire dedicated developers, Paid Discovery, DevOps & cloud services, and security. Already know it's broken and just need it fixed? Skip straight to Fix Your App.
Architecture and design patterns, security vulnerabilities, dependency and technical-debt exposure, performance bottlenecks, test coverage, and deployment/infrastructure setup. You get a prioritized findings report with severity ratings and rough fix-effort estimates for each issue, not just a list of complaints.
No. We review the codebase, documentation (or lack of it), and deployment setup independently. Access to a technical point of contact on your side speeds things up, but we don't require the original team.
Yes - that's the core deliverable. We give a direct recommendation: keep building on the current codebase, refactor specific problem areas, or rebuild - backed by the actual findings, not a generic bias toward whichever answer sells more hours.
Typically 1-3 weeks depending on codebase size and how many services are involved. A single web app usually takes about a week; a multi-service system with several integrations takes longer.
Yes - it's one of the more common reasons teams request an audit. Investors and acquirers increasingly ask for technical due diligence, and an independent report is more credible than the founding team's own assessment.
Get an independent, evidence-backed answer - not a sales pitch dressed up as an audit.