Template · For AI-generated code cleanup

AI code audit report template
for messy AI-built apps.

Use this AI code audit report template before refactoring, hiring a cleanup specialist, or asking an AI coding agent to change a real codebase. It turns vague review notes into architecture context, inspection areas, cleanup priorities, and verification steps.

Generate it in VS Code See sample report Copy the structure

Audit template preview

Review handoff snapshot

RomantiCode VS Code audit workflow screenshot

Audit focus

Architecture map before cleanup
Risky files and review boundaries
Context pack for AI coding agents

Map

Audit

Handoff

Open audit workflow

Before cleanup

Capture project context before changing files, deleting code, or asking an agent to refactor.

Before handoff

Give a developer or freelancer a concise report instead of an unexplained repository link.

Before AI review

Prepare scoped context for Claude Code, Cursor, Codex, Copilot, or another AI coding workflow.

Why an AI code audit report template is different from a checklist

A checklist is useful when you want to remember what to inspect. A report is useful when someone else needs to understand what you found. An AI code audit report template sits between those two jobs. It gives structure to the review so a human reviewer, cleanup specialist, or AI coding tool can see the product goal, the architecture, the risky areas, and the next safe step.

This matters because AI-generated code often looks complete while hiding unclear ownership, duplicated helpers, weak boundaries, missing tests, and undocumented assumptions. If the next prompt is simply "clean this up," the model may optimize the wrong part of the system. If the next brief uses an AI code audit report template, the cleanup starts from evidence instead of guesswork.

Use this page as the manual version of what LegacyDoc AI generates inside VS Code. The goal is not to create a pretty document. The goal is to make refactoring safer, quotes clearer, and AI-assisted code review easier to verify.

Page brief: what this template should and should not do

The main keyword for this page is AI code audit report template. It does not target the same search intent as the AI code audit report example, which shows a finished sample report, or the AI code audit report tool, which generates a report from a local workspace. This page is the reusable format. The example page shows the output. The tool page explains how to generate it.

That separation matters for search and for users. Someone searching for an AI code audit report template wants fields, headings, and a structure they can copy. Someone searching for an example wants to inspect a completed artifact. Someone searching how to audit AI code wants the workflow and tool. Keeping those pages separate prevents keyword overlap while allowing all three pages to link together.

Template sections

What to include in an AI code audit report template

A strong AI code audit report template should produce a document another reviewer can act on. It should not be a loose list of concerns. Each section below has a job: explain context, locate risk, or make the next cleanup step safer.

1. Project overview

State what the product does, who uses it, where it runs, and why the audit exists. A useful report template starts with the business context before it talks about files.

2. Architecture map

List the main folders, entry points, server/client boundaries, data stores, external services, and ownership assumptions. The report template should help a reviewer understand the shape of the project quickly.

3. Modules and responsibilities

Summarize the key modules in plain language. Explain what each module owns, what it depends on, and what would break if it changed.

4. Areas to inspect

Call out files, flows, and assumptions that deserve review. This is where the template turns generic advice into a concrete inspection queue.

5. Cleanup priorities

Separate urgent fixes from safe later cleanup. A good report explains what to do first, what to postpone, and what needs human approval before an agent rewrites code.

6. Handoff notes

Write the exact notes a developer, freelancer, or AI coding tool needs before changing code. Include commands, known risks, acceptance checks, and open questions.

Copyable structure

Copy this AI code audit report template into your cleanup brief

This copyable report format is intentionally plain. It works in Markdown, GitHub issues, Notion, Google Docs, Cursor rules, Claude Code context files, or a freelancer handoff message. Fill in only what you know, and mark uncertain items as assumptions.

If you use LegacyDoc AI, generate the report inside VS Code first, then use this template to edit the output into a shorter handoff. That gives you the best of both workflows: automated codebase reading plus human judgment.

ai-code-audit-report-template.md

# AI Code Audit Report Template

## 1. Project overview
- Product:
- Users:
- Repository:
- Current status:
- Audit goal:
- What must keep working:

## 2. Architecture map
- Framework and runtime:
- Main entry points:
- Data stores:
- Auth and permissions:
- External services:
- Deployment:

## 3. Module summaries
| Module | Responsibility | Owner | Risk |
| --- | --- | --- | --- |
| | | | |

## 4. Areas to inspect
- File or flow:
- Why it matters:
- Evidence:
- Suggested reviewer:

## 5. Cleanup priorities
1. Immediate:
2. Next:
3. Later:

## 6. Verification plan
- Commands:
- Manual flows:
- Screenshots or logs:
- Acceptance criteria:

## 7. Handoff notes
- Context for human reviewer:
- Context for AI coding tool:
- Questions still open:

How to use it

A practical workflow for filling the template

Step 1

Start with project purpose, repo state, stack, and the reason the audit is happening.

Step 2

Map architecture and modules before judging code quality. Raw files are not enough context.

Step 3

Write specific inspection areas with file paths, flows, and why each area matters.

Step 4

Turn findings into cleanup priorities and verification checks before anyone edits code.

How to avoid fake certainty in the report

The biggest mistake in a report template is writing guesses as facts. If a folder looks like it handles billing, but you have not verified the full payment flow, write "appears to handle billing" and add a verification step. If a module seems unused, write how you checked and what still needs confirmation.

This is especially important for AI-generated code. Generated projects often contain leftover files, duplicated state, unused helpers, and half-finished features that still compile. The report should preserve uncertainty instead of hiding it. A good audit handoff makes those uncertain areas visible so the next reviewer can resolve them.

When to generate the report automatically

Use this manual template when the project is small, when you are preparing a short quote request, or when you want to organize your own thinking. Use LegacyDoc AI when the repository has enough files that manual mapping becomes slow. The VS Code extension can scan local project context, produce module summaries, list areas to inspect, and generate a report you can edit.

The best workflow is not fully manual or fully automatic. Generate the draft, review it, remove sensitive details, and then use the cleaned report as the basis for AI-assisted code review, cleanup planning, or a developer handoff.

Good fit

AI-generated apps that work but lack documentation.
Vibe-coded MVPs before cleanup or launch.
Legacy projects handed to a new developer.
Repositories you want Claude Code, Cursor, or Codex to change safely.

Not enough by itself

Security certification or compliance review.
Replacing CI, tests, dependency scanning, or SAST.
Automatically fixing generated code.
Guaranteeing production readiness without human verification.

Best next link

If you want a filled report instead of a blank audit report structure, install LegacyDoc AI and generate one from your local workspace. If you want to understand the output first, read the sample report.

FAQ

What is an AI code audit report template?

An AI code audit report template is a reusable structure for documenting project context, architecture, risky areas, cleanup priorities, and handoff notes before a developer or AI coding tool changes the code.

How is this different from an AI code audit checklist?

A checklist tells you what to check. A report template tells you how to write the evidence down so another reviewer, cleanup specialist, or AI coding tool can act on it.

Can I use this template with Claude Code, Cursor, Codex, or Copilot?

Yes. The template is designed to create a context pack that can be pasted into or attached to AI coding tools after you remove anything sensitive.

Does this template replace a security audit?

No. It helps organize context for review and cleanup. It does not replace SAST, dependency scanning, penetration testing, or a formal security audit.

Can LegacyDoc AI generate this report automatically?

LegacyDoc AI can generate an audit-ready report inside VS Code from your local workspace. This page explains the structure so you can review, edit, or recreate the report manually.

Generate instead of guessing

Turn this AI code audit report template into a real report.

LegacyDoc AI runs inside VS Code, uses your own AI provider key, and creates audit-ready context from your local workspace. Use it to produce the first draft, then edit the output into the handoff format above.

Install LegacyDoc AI Read about the tool

SEO audit support

AI code audit report template decision checklist

This section keeps AI code audit report template focused on one search intent. A reader comparing options for AI code audit report template should quickly see the task, the evidence, the handoff value, and the next action without leaving the page.

AI code audit report template workflow screenshot for RomantiCode SEO audit — RomantiCode uses real VS Code context to support AI code audit report template decisions before cleanup, audit, or handoff.

AI code audit report template checkpoint 1

Use AI code audit report template as the page promise, then verify that AI code audit report template is supported by the headline, the example, the internal links, the call to action, and the reader's next step. A strong AI code audit report template page should explain who needs AI code audit report template, what evidence is required before acting, and how RomantiCode reduces uncertainty for founders, developers, cleanup specialists, and AI coding agents. Keep the AI code audit report template checklist tied to a real workflow: inspect the codebase, map risky files, prepare context, compare options, and decide whether to audit, refactor, hire help, or continue with an AI assistant.

AI code audit report template for messy AI-built apps.

Before cleanup

Before handoff

Before AI review

Why an AI code audit report template is different from a checklist

Page brief: what this template should and should not do

What to include in an AI code audit report template

1. Project overview

2. Architecture map

3. Modules and responsibilities

4. Areas to inspect

5. Cleanup priorities

6. Handoff notes

Copy this AI code audit report template into your cleanup brief

A practical workflow for filling the template

How to avoid fake certainty in the report

When to generate the report automatically

Good fit

Not enough by itself

Best next link

FAQ

Turn this AI code audit report template into a real report.

AI code audit report template decision checklist

AI code audit report template checkpoint 1

AI code audit report template checkpoint 2

AI code audit report template checkpoint 3

AI code audit report template checkpoint 4

AI code audit report template checkpoint 5

AI code audit report template checkpoint 6

AI code audit report template checkpoint 7

AI code audit report template checkpoint 8

AI code audit report template checkpoint 9

AI code audit report template checkpoint 10

AI code audit report template checkpoint 11

AI code audit report template checkpoint 12

AI code audit report template checkpoint 13

AI code audit report template checkpoint 14

AI code audit report template checkpoint 15

AI code audit report template checkpoint 16

AI code audit report template checkpoint 17

AI code audit report template checkpoint 18

AI code audit report template checkpoint 19

AI code audit report template checkpoint 20

AI code audit report template checkpoint 21

AI code audit report template checkpoint 22

AI code audit report template checkpoint 23

AI code audit report template checkpoint 24

AI code audit report template checkpoint 25

AI code audit report template checkpoint 26

AI code audit report template checkpoint 27

AI code audit report template checkpoint 28

AI code audit report template checkpoint 29

AI code audit report template checkpoint 30

AI code audit report template checkpoint 31

AI code audit report template checkpoint 32

AI code audit report template checkpoint 33

AI code audit report template checkpoint 34

AI code audit report template checkpoint 35

AI code audit report template checkpoint 36

AI code audit report template checkpoint 37

AI code audit report template checkpoint 38

AI code audit report template checkpoint 39

AI code audit report template checkpoint 40

AI code audit report template checkpoint 41

AI code audit report template checkpoint 42

AI code audit report template checkpoint 43

AI code audit report template checkpoint 44

AI code audit report template checkpoint 45

AI code audit report template checkpoint 46

AI code audit report template checkpoint 47

AI code audit report template checkpoint 48

AI code audit report template checkpoint 49

AI code audit report template checkpoint 50

AI code audit report template checkpoint 51

AI code audit report template checkpoint 52

AI code audit report template
for messy AI-built apps.