The code was AI-written. Do you review it differently?

Yes, in emphasis. AI-written code is usually syntactically clean and idiomatic, so the classic smells are absent.

My app runs fine locally. Why does it need work at all?

Localhost has one user, no network latency, no attacker, credentials in a plaintext file, and a database on the same machine that nobody else can reach.

Will this slow down how fast I ship with the agent?

Not for long. The first week adds friction while the tests and CI land.

Do you need to take over the repository?

No. We work on branches in your repository and open pull requests you review and merge.

Platform playbook

Make your Claude Code project production-ready

Claude Code writes genuinely good code, and it writes a lot of it. What it does not do on its own is own the operational surface: environments, pipelines, monitoring, and the decisions that only make sense with production traffic in view.

Book a Free Call Start with a free check

Claude Code

Most common critical finding

No deployment pipeline at all - production is whatever was last copied up by hand, with no rollback.

Production Check: Free, 3–5 days
Typical engagement: 2–4 weeks
Hardening from: $2,000, fixed scope

What we find

Where Claude Code apps break in production

What actually goes wrong, and why you would not have spotted it yourself. These are the findings we file most often, not a generic checklist.

Finding 01
The same bug comes back a month after you fixed it
Sessions of rapid iteration leave real inconsistencies: three ways to fetch data, two auth patterns, and duplicated logic that drifts apart.
Fast-moving architecture
Finding 02
The tests pass and still miss the dangerous case
Generated tests tend to cover what the code does rather than what it must never do.
Tests that assert the happy path
Finding 03
One person knows how to ship, and there is no way back
The app runs locally. There is no pipeline, no staging environment, no rollback, and no one has ever practised a bad deploy.
No deployment story
Finding 04
Code you never wrote, with holes you never saw
Packages added quickly during a session, some unmaintained, some carrying known advisories.
Unreviewed dependencies

What we do about it

The Claude Code fix list

The code is usually better than people expect. What is missing is everything that only matters once someone else depends on it: environments, checks, alerts, and tests that assert what must never happen.

How the hardening works

Consolidate patterns and remove duplicated logic where it actually costs you
Add tests around the invariants that matter: authorization, money, and data integrity
Stand up CI/CD with preview environments and one-command rollback
Audit and pin dependencies, then automate advisory monitoring
Add error tracking, structured logging, and uptime monitoring
Deploy to production infrastructure sized to your real traffic

How it runs

A typical Claude Code engagement

Durations from real projects of comparable size. The check is free and everything after it is quoted as fixed scope, so you know the price before we start.

1
Production Check
3–5 days
We read the code the way an attacker and a pager would: authorization paths, money paths, and anything that writes data.
2
Invariants under test
Week 1
Tests written for the things that must never happen: one user touching another user's data, a charge applied twice, a partial write leaving an inconsistent row.
3
Pipeline and environments
Week 2
CI runs the suite, type checks and a dependency audit on every branch.
4
Ship it
Week 3, then 30 days
A production deploy sized to your real traffic, error tracking, structured logs and uptime alerting routed to a channel you actually read.

No lock-in

What you keep

Everything we produce belongs to you. If you stop working with us tomorrow, nothing stops running and nothing becomes unmaintainable.

Your accounts and your code
The repository, the cloud accounts, the database and the domain stay in your name.
The report, whatever you decide next
Findings, severity ratings, reproduction steps and effort estimates, written for an engineer.
Infrastructure written down
The environment is defined as code in your repository and comes with a runbook: how to deploy, how to roll back, how to restore, and what to check first.
Your agent workflow, with a net
Keep generating. CI checks every branch an agent opens, so speed stops being a trade against safety, and the tests we add are the thing that tells you when a generated change broke an invariant.

Questions

Claude Code questions we get asked

If yours is not here, ask it on the call. The first one is free and there is no obligation afterwards.

Yes, in emphasis. AI-written code is usually syntactically clean and idiomatic, so the classic smells are absent.
Localhost has one user, no network latency, no attacker, credentials in a plaintext file, and a database on the same machine that nobody else can reach.
Not for long. The first week adds friction while the tests and CI land.
No. We work on branches in your repository and open pull requests you review and merge.