AI Code Cleanup & Cloud Cost Optimization
AI-generated code ships fast and pays rent forever: N+1 queries, unbounded memory, chatty APIs and oversized instances that quietly inflate the cloud bill. The AI Code & Cloud Cost Audit — five days, up to 40 hours of senior work — finds where your codebase wastes compute, does the first optimization passes, and hands you a costed plan for the rest.
Suspicious of the bill but not sure why? The free 30-minute session reads your architecture and bill shape together and says honestly whether a cleanup would pay. You keep the notes either way.
AI builds. Humans verify.
Audit & Human Oversight · The group promiseWhat the vibe-coded bill looks like
The cloud bill grows faster than the user count
Revenue is flat-ish, usage is steady, and the infrastructure line climbs anyway. That divergence is the signature of code inefficiency — resources rented to compensate for work the code does badly.
The app leans on hardware to feel fast
Bigger instances, more replicas, a cache in front of everything — performance bought with rent instead of engineering. It works until the next scale step, where the rent doubles again.
Nobody wrote it, so nobody owns its appetite
Generated code has no author who remembers why. Queries that fetch everything and filter in memory, retries that stampede, background jobs that never learned to stop — each invisible until someone reads for them specifically.
The database is doing the application’s job
The single most common finding in AI-generated backends: the database hammered by patterns — N+1s, missing indexes, SELECT-star habits — that a senior pass converts into ordinary load. The RAM and DB savings follow directly.
Features stay. The appetite goes.
What the audit covers
Code efficiency read
Senior engineers read the codebase specifically for waste: query patterns, memory behaviour, API chattiness, job scheduling, caching honesty.
You get: findings with file-level evidence, each tied to the resource it wastes.
Cloud architecture and bill review
Instances, storage, transfer and managed services reviewed against what the code actually needs — right-sizing, scheduling, lifecycle.
You get: the bill explained line by line, with the reducible lines marked.
Optimization work inside the audit
The five days include hands-on optimization of the clearest wins — this is an audit that starts the repair, not just photographs the leak.
You get: the first fixes shipped, through your review process.
The implementation plan
What to implement next, at what effort, money and time — ranked so each step funds the next.
You get: a costed plan your team, or ours, can execute directly.
How it works
Kickoff meeting
Bill, architecture, access and the pain points — the audit aimed where the money leaks.
Code review & audit
The efficiency read plus the cloud review, evidence collected.
Optimization work & report
The clearest wins implemented; findings and the costed plan written up.
Results meeting → final report
What to implement, at what effort and cost — argued live; implementation actions and the final report on work done.
A cloud bill is a diagnostic document. Read next to the code, it names the functions that are renting hardware to hide their shortcuts.
Proof, not claims
The mechanism is senior engineering, and the record behind it is checkable.
Deep-refactor capability, proven
A 14-year-old backend rewritten to Node.js in six months by one senior AI-tooled engineer — the same read-deeply-then-restructure muscle a cleanup engagement uses on generated code.
Platforms run lean for years
Systems we operate stay efficient because someone reads for waste on a schedule — the discipline this audit packages as a product.
Checkable senior standard
Ten years, 200+ clients, 100% Job Success on Upwork — the bench doing the reading is publicly rated.
Vibe-coded software carries an invisible subscription: the infrastructure its shortcuts rent. Cleanup is the act of cancelling it.
Cleaning generated code is a discipline now. We are fluent in it because we use the same tools daily — and read what they produce.
The AI Code & Cloud Cost Audit
AI Code & Cloud Cost Audit
Five days, up to 40 hours of senior work, including two 30–60 minute meetings. The flow: kickoff → code review & audit → code and cloud optimization work → written report → results meeting on what to implement at what effort, money and time → implementation actions → final report on the work done.
- Kickoff meeting: bill, architecture, access, pain points
- Senior efficiency read of the codebase, with evidence
- Cloud architecture and bill review, line by line
- Hands-on optimization of the clearest wins, within the 40 hours
- Results meeting, implementation actions, final report
Five days, up to 40 hours of senior work — dates confirmed at kickoff scheduling.
Pay online and kickoff scheduling arrives the same business day. FLUVIUS20 works at checkout.
Clients also buy
Code & Developer Audit
An independent human audit of the code — and of the team or vendor that produced it. Fixed price, in writing.
DevOps & Cloud Engineering
CI/CD, infrastructure as code, observability and cloud spend that stops surprising you.
Product Rescue
A stalled or vibe-coded build, made production-grade — we take over where a vendor or a prototype stopped.
Fix the code, then size the cloud. Reversed, the savings evaporate by the next quarter.
The questions buyers actually ask
How much will we actually save?
It depends on how the code was written, and we refuse to promise a number before reading it — that is the audit’s job. What we commit to: findings tied to specific resources, first fixes shipped inside the engagement, and a costed plan where every next step states its expected effect before you spend on it.
What is "vibe code cleanup" exactly?
The refactoring of AI-generated ("vibe-coded") software by senior engineers who know precisely which corners generation cuts: query discipline, memory bounds, retry behaviour, caching honesty. The code keeps its features and loses its appetite.
Will the cleanup break our product?
The work ships through your review process with tests around every change — the same behaviour-preserving discipline as our legacy-modernization practice. Efficiency work that risks correctness is a bad trade, and we do not make it.
Is this just right-sizing cloud instances?
No — right-sizing without fixing the code moves the waste, briefly. The audit works both layers in order: make the code stop wasting, then size the infrastructure to what remains. That order is why the savings persist.
Our code was written by humans — does this still apply?
Yes — hurried human code exhibits the same patterns, and the audit reads for waste regardless of author. The AI framing exists because generated codebases produce these findings at a reliably higher density.
What happens after the audit?
The plan is yours: execute in-house, or continue with us on a fixed-scope cleanup project — and for the ongoing habit, DevOps & Cloud Engineering keeps the bill owned month over month.
Reading first: from AI-generated prototype to production software, including how cost per interaction is brought under control.
Independent human verification — the one-page version
The five Audit & Human Oversight services on one printable page: what each verifies, what the written output is, and where to start. Built to be forwarded to whoever holds the budget.
Cancel the invisible subscription
Checkout takes two minutes, and the kickoff scheduling email arrives the same business day — the engagement starts this week, not this quarter. Want a human first? The free 30-minute call higher on this page is exactly that.
