AI code audit pricing for cleanup-ready VS Code projects.
LegacyDoc AI runs inside VS Code, uses your own AI API key, and keeps AI code audit pricing simple:
try the free plan, then upgrade when repeated audit reports, docs, diagrams, and context packs become daily work.
Free is enough for a quick trial. Pro makes sense when the same project needs several passes before cleanup,
launch review, or AI-agent handoff.
If you are still estimating review scope, use the
AI code audit cost calculator
before choosing a plan.
01
Preparing a cleanup quote
Generate the architecture map, module notes, and cleanup priorities a freelancer needs before they can scope the work.
02
Reviewing an AI-built app before launch
Run repeated audit passes across routes, auth, data flow, edge cases, and handoff notes without hitting the free daily limit.
03
Keeping coding agents in context
Refresh context packs for Claude Code, Cursor, Codex, or Copilot as the project changes instead of rewriting briefs by hand.
Pricing intent
AI code audit pricing should start with the scope of the codebase.
People searching for AI code audit pricing are usually not comparing a decorative documentation tool.
They are trying to understand what it will cost to inspect an AI-generated app, prepare a cleanup quote,
or hand a messy codebase to a developer without wasting the first few hours on discovery. LegacyDoc AI
keeps AI code audit pricing separate from consulting pricing: the extension helps you generate the
project map and audit-ready context inside VS Code, while a human cleanup specialist can use that context
to quote deeper work.
This page explains AI code audit pricing from the product side. The free plan is for testing the workflow
on a small project. The Pro plan is for repeated audit passes, large cleanup preparation, launch review,
and AI-agent handoff. If you need a full service review, use the AI app launch audit page; if you want
the extension that creates the context pack, this AI code audit pricing page is the right starting point.
Free plan
Use AI code audit pricing at $0 when you only need a trial, a few docs, or one small context pack.
Pro license
Use AI code audit pricing at $29 one-time when repeated project analysis, batch docs, and audit context matter.
Cleanup services
AI code audit pricing is not the same as hiring a developer; it prepares the evidence needed before cleanup.
Launch audit
When business risk is higher, pair AI code audit pricing with a human-reviewed launch audit request.
How to decide
Compare AI code audit pricing by the work it removes.
A cheap AI code audit pricing page is not useful if it only produces a generic summary. The value comes from
reducing discovery time: architecture notes, risky module lists, documentation gaps, cleanup priorities,
and a context pack that Claude Code, Cursor, Codex, or a human reviewer can actually use. That is why the
Pro plan focuses on unlimited generations and batch processing instead of a complicated usage meter.
One small project
Start free. If five daily generations are enough, your AI code audit pricing is effectively zero while you test fit.
One serious cleanup
Upgrade to Pro when a cleanup quote needs multiple passes across routes, modules, docs, diagrams, and risk notes.
Ongoing AI coding workflow
Use Pro when AI code audit pricing should support repeated context refreshes for every refactor, launch review, and handoff.
A practical AI code audit pricing rule
If one generated report is enough, stay free. If you need to document several folders, prepare a quote pack,
compare AI-generated assumptions, and refresh context after changes, the one-time Pro license is usually
cheaper than paying a developer to rediscover the codebase from scratch. AI code audit pricing is most useful
when it turns a vague cleanup request into a concrete list of files, risks, and next actions.
Cost boundary
The extension price is only one part of the cleanup budget.
A messy AI-built app often has two separate costs. The first cost is discovery: understanding routes,
modules, data flow, dependencies, generated assumptions, and handoff risk. The second cost is actual
remediation: editing code, writing tests, fixing architecture, and deploying safely. LegacyDoc AI focuses
on the discovery layer. It helps create the map and evidence that make the second cost easier to estimate.
That boundary is important when you compare tools. A hosted scanner may charge per repository, per seat,
or per scan. A consultant may charge by hour or by project. LegacyDoc AI is a VS Code extension with a free
trial and a simple Pro license. Use it before a quote call, before a long refactor session, or before asking
a coding agent to make changes across unfamiliar files.
If the first hour of a cleanup project is usually spent asking what the app does, the extension is meant to
make that hour more structured before anyone commits to larger work.
Human work still matters: final review, test strategy, production fixes, security review, and deployment.
The extension is most useful before a developer spends paid time rediscovering the codebase.
Keep the generated context in your repo so later cleanup, refactor, and handoff work starts faster.
What happens after purchase
The payment and activation flow is intentionally simple, so you can get back to the codebase.
01
Pay with Creem
Checkout is handled by Creem as the payment provider.
02
Get your license by email
Use the same email to find the license key after purchase.
03
Activate inside VS Code
Paste the license key into LegacyDoc AI settings to unlock Pro.
Good fit
You have a local VS Code project that needs docs or context.
You use Claude Code, Cursor, Codex, or another AI coding assistant.
You want architecture notes before cleanup, refactor, or handoff.
Not a fit
You need a formal security audit or penetration test.
You want a hosted service that stores and scans your repository.
You expect the extension to automatically refactor or fix code.
FAQ
Do I need a credit card for the free plan?
No. Install LegacyDoc AI from the VS Code Marketplace and use the free plan with 5 generations per day.
Is Pro a subscription?
No. Pro is a one-time $29 purchase for the current license terms.
When should I upgrade from Free to Pro?
Upgrade when the daily limit blocks real work: preparing a cleanup quote pack, reviewing an AI-generated app before launch, documenting an inherited codebase, or repeatedly generating context for Claude Code, Cursor, Codex, or another coding agent.
What happens after checkout?
Your Pro license key is sent to the email used during checkout. Paste it into VS Code settings to unlock Pro features.
Can I use Pro on more than one device?
Yes. A Pro license can be activated on up to 3 devices you personally use.
Does RomantiCode store my code?
No. LegacyDoc AI runs inside VS Code. Your code is sent only to the AI provider you configure with your own API key, not to RomantiCode servers.
How do refunds work?
Payments are processed by Creem. If something goes wrong with activation or the product does not work for your setup, contact contact@romanticode.com and we will review the request.
Ready to generate cleaner project context?
Install free first, or upgrade when the daily limit slows you down.
This section keeps AI code audit pricing focused on one search intent. A reader comparing options for AI code audit pricing
should quickly see the task, the evidence, the handoff value, and the next action without leaving the page.
RomantiCode uses real VS Code context to support AI code audit pricing decisions before cleanup, audit, or handoff.
AI code audit pricing checkpoint 1
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 2
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 3
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 4
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 5
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 6
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 7
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 8
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 9
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 10
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 11
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 12
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 13
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 14
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 15
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 16
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 17
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 18
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 19
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 20
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 21
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 22
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 23
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 24
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 25
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 26
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 27
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 28
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 29
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 30
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 31
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 32
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 33
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 34
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 35
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 36
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 37
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 38
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 39
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 40
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 41
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 42
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 43
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 44
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 45
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 46
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 47
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 48
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 49
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 50
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 51
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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 pricing checkpoint 52
Use AI code audit pricing as the page promise, then verify that AI code audit pricing 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 pricing
page should explain who needs AI code audit pricing, 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 pricing 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.
