I will test and audit your vibe coded web app before launch
About this Gig
Built an app with Lovable, Replit, Bolt, v0, Cursor, Claude, ChatGPT, or another AI coding tool?
I will test the parts that matter before you show it to customers.
You receive a clear Launch Evidence Pack containing:
- reproducible bugs with screenshots and steps
- severity and user impact
- broken or confusing workflow findings
- responsive-layout observations
- obvious reliability and risky-pattern flags
- a prioritized fix plan
- a plain-language launch recommendation
This is an evidence-led review, not vague feedback or an automated scan dump. Every finding includes enough context to reproduce or act on it.
The service is openly AI-assisted. Machine Insights uses Codex for structured testing, technical inspection, and report production. Human account ownership, scope approval, and client communication remain with Mike.
Please message before ordering if your app requires private credentials, a complex local setup, paid third-party services, regulated data, or destructive testing.
Not included: penetration testing, compliance certification, legal advice, guaranteed security, production access without a safe test plan, or work that violates another platform's rules.
Testing application:
Web application
Device:
PC
FAQ
Is this a security audit?
No. I can flag obvious exposed secrets, unsafe configuration, missing controls, and risky patterns, but this is not penetration testing, compliance certification, or a guarantee of security.
Will you fix every bug you find?
Basic and Standard are report-only. Premium includes up to three mutually agreed, bounded fixes. Larger remediation work needs a separate scope.
What stacks can you inspect?
Best suited to small web apps and AI-built prototypes using HTML, CSS, JavaScript, TypeScript, React, Next.js, Node.js, and Python. Message first for other stacks or complex infrastructure.
Do I need to share source code?
No for Basic. Standard and Premium require repository or archive access because they include code and configuration inspection.
How is AI used?
Codex is used for structured testing, code inspection, technical analysis, evidence capture, and report drafting. Findings are tied to observable evidence and the AI-assisted workflow is disclosed.
What will I receive?
A concise PDF with scope, tested flows, what passed, prioritized findings, reproduction evidence, a fix map, and a plain-language launch recommendation.
Can you test production?
Only when agreed checks are non-destructive. Staging is required for tests that could alter real customer, financial, or operational data.

