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.
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. Say when you need it and you get a real date back in the first reply, since few audits run here at once. I am in Romania, so most of the collaboration happens without a meeting, with one call a week in the hours we overlap.
Most working relationships here start with an audit.
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 engineering.
Slow queries, N+1 problems, and server bottlenecks identified, with a fix plan you can act on.
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.
All four audits are delivered in 1–3 days as a written report.
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, quoted per scope and delivered in 1–3 days, the same as any audit.
Audits are quoted per scope: the scope is defined and the price is agreed before we start. Hot-fixes are scoped on their own and billed by the hour. 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.