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We audited our codebase in plain English. Here's what changed.

We audited our codebase in plain English. Here's what changed.

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Quick question: if someone asked you right now to explain exactly what your application does, line by line, could you do it in 10 minutes?

Most people can't. Not because they're bad at their job. Usually it's because the code was built fast, outsourced, built with AI tools, or all three. You know what it should do. But what it actually does? That's a different question.

We ran into the exact same problem. We've built a lot of systems at Round Table, and at some point we looked at our own codebase and realized we couldn't instantly answer: What is real? What's a stub we left behind? What's safe to hand to someone else? Is this secure? What does someone need to know before they touch this code?

So we audited it.

What a Codebase Audit Actually Does

An audit is not a code review. A code review looks for bugs and style issues before you ship something new. An audit is a complete inventory of what you actually have.

It answers the questions that keep you up at night. What does this code do? What's built, what's stubbed, what's half-done? What are the dependencies? Where are the entry points? What did the previous developer leave behind? Is this safe to hand to a buyer, a new hire, or a due-diligence process?

Plain English: The Audit Approach That Works

Most audit reports look like walls of technical jargon, flags, and recommendations that only another engineer can read.

We do it differently. You get two versions. One is the technical breakdown, line by line, for the developers who need to work in the code. The other is plain English, so you can actually understand what you own.

It's the difference between a mechanic handing you a technical report and actually sitting down and explaining what your car needs. Both matter. Both need to be in the report.

What We Found in Our Own Codebase

When we audited our own code, we found things we forgot we built. Things we started and never finished. Dependencies we weren't tracking. One system that could be simplified. One module that was doing work nobody needed anymore.

We also found things that were solid. Functions that did exactly what they should. Architecture decisions that held up better than we expected.

The point: once it was all documented in plain English and technical detail, we could actually make decisions about it. Upgrade it, rebuild it, hand it off, or leave it alone. Before, we were just guessing.

How This Applies to Your Code

If you've ever built an app yourself, outsourced it, or used AI tools to speed it up, you're in the same position.

You might be selling a software business and need to show a buyer what they're getting. You might be hiring a developer and want them to know what they're walking into. You might be integrating another team's codebase into yours. Or you might just need to know: is this thing even safe?

An audit gives you the answer. Not a guess. Not a hope. A real, documented picture of what the code actually does.

How to Get Started with a Codebase Audit

You can schedule a free Discovery Call if you want to talk through your specific situation first. No pitch, no commitment. Just a conversation.

Or if you just want the audit itself, there's a simpler path. You submit your code, and we deliver a plain-English breakdown and a technical report, usually within a few business days.

Either way, you end up with one thing: clarity.

FAQ

How long does a codebase audit take?

Delivery is typically a few business days from submission, depending on how large and complex the codebase is. Smaller codebases move faster. Larger ones take more time to read and document thoroughly, but you still get both the technical and plain-English versions.

Can AI actually audit code accurately?

Yes, when it's combined with human review. AI reads every line and catches what's real, what's stubbed, what's working, and what needs attention. Then a person verifies the findings to make sure the output is accurate and specific to what you actually built.

When should you audit a codebase?

Before you sell a software business. When you're about to hire someone to work in the code. When you're taking over a codebase built by someone else or an agency. When you've lost track of what you actually built. Or when you need to prove to someone else, like a buyer or an advisor, exactly what the application does.

What's the difference between a code review and a codebase audit?

A code review happens before you ship something new, checking for bugs and style. An audit is a full inventory of the entire application: what exists, what works, what's half-finished, what the dependencies are, and what the functionality actually is in plain language.

Who really needs a codebase audit?

Any founder or small-business owner with an existing application, especially one built with AI tools or by contractors or previous developers. If you can't instantly explain what the code does to a buyer or a new engineer, or if you're not totally sure yourself, an audit fills that gap.

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