AI codebase audit
Fixed-scope AI codebase audit
Every codebase has a story - how it was born, how it grew, what shaped it. Answer 5 questions about yours and we'll tell you where it stands. If you move forward, you'll get a senior-engineer audit, a prioritized remediation plan, and an implementation-ready backlog your team or coding agent can start executing immediately.
Fixed-scope audits start at $2,500.
Stage 1 - Birth
How old is your codebase?
Software ages like organisms - complexity compounds over time. A 3-month codebase and a 2-year codebase have very different risk profiles.
Stage 2 - Parentage
How much was AI-generated?
AI-generated code ships fast but accumulates 1.7x more issues than human-written code. The more AI in the mix, the more unknowns hiding underneath.
Stage 3 - Growth
How many developers have touched it?
Every new developer adds their own patterns, conventions, and shortcuts. More hands means more divergence - especially without code review discipline.
Stage 4 - Mutations
How many times has the product pivoted?
Pivots are healthy for the business but brutal on architecture. Each one leaves behind dead code, half-finished features, and assumptions baked into the wrong layer.
Stage 5 - Survival
What's keeping you up at night?
The reason you're here matters. It tells us what to look at first.
Your results
Risk level:
Typical fixed-scope investment:
Fixed upfront · 48–72 hour delivery · includes walkthrough call and remediation plan
This is a typical starting point for codebases like yours. Final scope depends on repo size and complexity, but we agree the fixed investment upfront before work begins.
What you get
Fixed-scope engagement
Clear deliverables, clear timeline, and clear investment before we start. No open-ended discovery project.
Security scan
Secrets in version control, authentication patterns, OWASP Top 10 vulnerabilities, and data handling risks.
AI code quality score
Tool fingerprints, anti-patterns, silent error handling, and the quality signals that separate working code from production-ready code.
Architecture red flags
God files, circular dependencies, test coverage gaps, and structural issues that predict maintenance nightmares.
Dependency health
Known CVEs, unpinned versions, deprecated packages, and your actual attack surface.
Risk summary
One-page green/yellow/red assessment with the top 5 things to fix first and estimated remediation costs.
Agent-ready action plan
A prioritized remediation backlog with concrete next steps your team or coding agent can start executing immediately.
Walkthrough call
30-minute live walkthrough where we explain every finding and answer every question. No report dump.
What the deliverable looks like
Sample audit snapshot
Executive summary + ranked findings
Tenant authorization checks are inconsistent across API routes
Access control logic is duplicated across handlers, and two endpoints rely on client-provided tenant IDs. This creates a real cross-tenant data exposure risk and should be fixed before scaling.
Business rules are duplicated across service, route, and UI layers
AI-generated changes introduced parallel logic paths for pricing, validation, and status transitions. The code works in common cases, but the duplication makes bugs and regressions much more likely.
Dependency upgrade path is overdue but manageable
Several packages are behind, including one deprecated library with no immediate exploit path. This is not blocking, but it should be folded into the cleanup sprint before the next major release.
Sample action plan
Priority 1: unify tenant authorization
Move access checks into shared middleware, remove route-level duplication, and reject client-provided tenant IDs unless validated against server-side membership.
Agent-ready task example
Refactor tenant authorization into a single middleware module, add integration tests for cross-tenant access attempts, and update the two affected endpoints to derive tenant context from the session.
What you leave with
A ranked issue list, remediation rationale, estimated effort by theme, and a backlog your team or coding agent can start on immediately.
How it works
01
Quick scope call
Book a call or email us. We confirm fit, timeline, and likely audit scope in one conversation.
02
Scope locked
We agree the deliverables, timeline, and fixed investment upfront. Work begins once payment is in and repo access is granted.
03
Audit
Human engineers + AI-assisted tooling. Security, architecture, code quality, dependencies. 48–72 hours.
04
Report + execution plan
Written report, live walkthrough, and a prioritized backlog your team or coding agent can use to start fixing issues right away.
Want to start yourself?
Run our audit tool for free
We open-sourced the same 7 analyzers we use internally - secrets, security, dependencies, structure, tests, imports, and AI patterns. Zero dependencies, works on any codebase.
If you're already using Claude Code, two commands:
/plugin marketplace add variant-systems/skills /plugin install code-audit@variant-systems-skillsOr with npx:
npx skills add variant-systems/skills --skill code-audit
Not sure yet?
Book a 30-minute call. No pitch, no pressure. We'll figure out if an AI codebase audit makes sense for your situation - and if not, you'll still walk away with honest advice.
Schedule a call with Variant Systems