Codebase Review

A one-time deep audit of your Rails codebase. You get a clear, prioritized report — what to fix now, what can wait, and what's actually fine. No vague suggestions. No automated scans. A human read of your code by someone who knows where AI gets it wrong.

The problem

AI-generated code looks right. That's the danger.

Your AI writes clean syntax, passes linting, and produces code that looks like a senior developer wrote it. But under the surface: auth that doesn't hold, N+1 queries waiting to kill your database, architecture that corners you into a rewrite at 5,000 users.

The hardest bugs to find are the ones that look correct. AI is exceptionally good at producing those.

What founders tell me before the audit

  • “It works, but I have no idea if it’s solid.”

    The confidence gap

  • “We shipped fast with AI, but now everything feels fragile.”

    The speed trap

  • “I need to know what’s going to break before I raise / hire / scale.”

    The milestone pressure

What the audit covers

Six areas. One clear report.

Not a generic checklist. I read your codebase the way a composer approaches arrangement — structure first, then the individual voices, then how they relate. Every finding is prioritized: fix now, fix soon, or leave it alone.

01

Architecture & domain model

Is the foundation sound, or are you building on patterns that will force a rewrite? I evaluate your domain model, boundaries, and the decisions that compound over time.

02

Security & auth

Authentication, authorization, data exposure, CSRF, injection vectors. The things AI consistently underestimates because they rarely cause visible errors.

03

Performance

N+1 queries, missing indexes, expensive computations in request cycles, caching opportunities. The bottlenecks that surface at real load.

04

AI-generated anti-patterns

Reinvented wheels, framework built-ins ignored, configuration issues misdiagnosed as architectural problems. The specific failure modes of AI-assisted development.

05

Test coverage

What’s tested, what isn’t, and what’s tested in ways that give false confidence. AI-generated tests are often technically passing but functionally meaningless.

06

Deployment & infrastructure

Environment configuration, secrets management, CI/CD pipeline, production readiness. The gap between “runs locally” and “runs in production.”

The deliverable

A prioritized action plan. Not a vague list of suggestions.

You get a written report organized by severity and area. Every finding includes: what the problem is, why it matters, and exactly what to do about it.

After the report, we do a walkthrough call to discuss the findings, answer your questions, and help you plan the fixes — whether you do them yourself, with your AI, or with me.

See what a real audit produces → Avo case study

What's in the report

  • Executive summary — where you stand in plain language
  • Critical findings — fix before you ship / raise / scale
  • High-priority items — fix within the next sprint
  • Medium-priority items — address when you can
  • What’s actually fine — so you don’t waste time on non-issues
  • Architecture recommendations — how to structure what comes next
  • 60-minute walkthrough call
How it works

Five steps. Start to finish in two weeks.

1

Intro call

Free 30-minute call to understand your situation, scope the review, and make sure this is the right fit.

2

Codebase access

You grant me read access to your repository. Everything stays confidential — I can sign an NDA if needed.

3

Deep read

I run agentic skills I've built from my own review principles — then interpret, triage, and extend the findings with my own judgment. Systematic consistency, experienced depth.

4

Written report

You receive the full audit report: prioritized findings, clear explanations, concrete action items.

5

Walkthrough

A 60-minute call to discuss every finding, answer questions, and plan next steps together.

Pricing

From €3,000

Final price depends on codebase size and complexity. We scope it together on the intro call — no surprises.

Most AI-built Rails apps hit a wall at 5,000–10,000 users. The rewrite costs €50,000+ and 3–6 months. The audit costs a fraction of that and tells you exactly where you stand before it's too late.

30 minutes. No commitment. We'll scope the work and I'll give you an exact quote.

What's included at every tier

  • Full codebase coverage — agentic skills guided by human judgment
  • Prioritized written report
  • 60-minute walkthrough call
  • Architecture recommendations
  • AI workflow assessment
  • 30 days of follow-up questions via email

Need ongoing support after the audit?

See the CTO Retainer →
Questions

Frequently asked

I’m building with Cursor / Claude — is this for me?

Yes, especially you. AI writes clean syntax that hides structural problems. The audit catches what your AI can’t see — auth gaps, N+1 queries, architecture that corners you at scale.

Will you judge my code?

No. The audit is pure signal — what to fix, what to fix next, and what’s actually fine. No lectures, no shame. I’m here to make AI-assisted development work, not to criticize it.

What does AI typically get wrong in Rails?

Authentication that doesn’t hold under edge cases. N+1 queries that surface at real load. Reinvented wheels where a built-in exists. Framework conventions ignored in favor of hand-rolled alternatives. The patterns are consistent — and that’s what makes them findable. (Ruby is the best language for AI-assisted development — but even the best foundation needs expert eyes.)

Do I need to know Rails to work with you?

No — that’s the point. You bring the product vision, your AI writes the code, and I make sure the architecture holds. The report is written in plain language with clear action items.

Is this just an automated scan?

No. I use agentic skills I've built from my own review principles — but the methodology, triage, and judgment are mine. Generic scanners catch syntax issues and known CVEs. They miss the structural problems that actually matter: bad architecture, reinvented frameworks, AI-generated anti-patterns.

Will you fix the issues you find?

The audit is diagnostic — you get a clear report of what’s wrong and exactly what to do about it. You can fix things yourself, with your AI, or move to a retainer where I work through them with you.

Is my code kept confidential?

Absolutely. I’ll sign an NDA if you need one. I never share, store, or reuse client code.

What if the audit finds nothing wrong?

Then you get peace of mind — and a written report that confirms your codebase is solid. That’s worth knowing before you raise, hire, or scale.

Find out where you actually stand.

A 30-minute call to understand your codebase and scope the audit. No pitch, no pressure.