Code quality, security, performance, or AI readiness. The scope and the price are agreed before work starts; the report lands within 1–3 days, written and ordered by what to fix first, and it is yours to keep.
Timing: say when you need it and you get a real date back in the first reply. Few audits run at the same time here, so it is a date I can keep.
An audit is a cold read. I come to your codebase with no attachment to how it was built, and 13 years of seeing where systems break tells me where to look first: the holes in the logic, the architecture that will not survive the next size up, and often a business decision that never quite added up.
Most working relationships here start with an audit.
It is also how you judge the studio: on a real deliverable, against your real codebase. If deeper work makes sense afterward, the report becomes the scope for it. Want to see the format first? Ask for a sample report through the contact form.
Three steps, and you can stop after the report.
Describe the system: stack, rough size, and what’s worrying you. Fixed scope and a fixed quote in writing before anything starts.
I sign an NDA before I look at any code. Then read-only repository access: a guest account on your Git provider is enough. No production credentials required.
Within 1–3 days: an executive summary a non-engineer can act on, findings rated by severity with file and line references, quick wins separated out, and a roadmap with effort estimates. Then an optional walkthrough call: with your team, another vendor, or just you and me.
A few days of review before you commit to a build.
A senior review of your codebase: written report, prioritized findings, practical next steps. Hands-on follow-up runs as cloud & mobile engineering.
Human review of your back-end code, with OWASP scanner output used only where it helps. Remediation, if you want it, runs as cloud & mobile work.
Slow queries, N+1 problems, and server bottlenecks identified, with a fix plan you can act on. The same discipline behind my cloud back-end builds.
An assessment of where AI integration would add real value in your stack, and where it would create more problems than it solves. If the verdict is “build”, the next step is AI agent development.
US rates, agency white-label, or a codebase too big for a standard audit? Say so and request a custom quote
Yes: that’s the AI-readiness audit pointed at software you already have. Fast AI-assisted building tends to leave a particular kind of mess behind. Features pass the demo and then break on the cases real customers hit. The structure gets shakier with each addition. And the automatic checks that would catch a problem before your users do are usually the first thing nobody wrote. You get a written report and the order to fix them in, same fixed price, 1–3 days.
Fixed-price for audits and hot-fixes: the scope is defined and the price is agreed before we start. For ongoing or open-ended work I bill on a cycle, weekly or monthly, whichever suits the engagement. You buy a block of focused output, I report what shipped, and we adjust the next block’s scope. No hourly tracking spreadsheets. The company is registered in Romania and issues proper B2B invoices.
Describe the system and what worries you. You’ll get a fixed scope and a fixed quote before any work starts.