You vibe coded it.
We reduce the launch risk.
AI helped you build something useful — fast. If you plan to charge money, handle customer data, or launch publicly, a working demo is not enough. The risks need a real review.
// no judgment. we love what you built.
Your AI assistant writes code that works. That's not the same as code that's safe.
These are common failure patterns in AI-assisted apps. They may not show up in a demo, but they often matter once real users, data, or traffic arrive.
Secrets in your code
API keys, database passwords, and tokens pasted straight into source files — and pushed to GitHub. Publicly exposed secrets are often discovered quickly, and a leaked key can create unauthorized access, data exposure, or unexpected cloud/API costs.
Auth that only looks like auth
A login page isn't security. Common failures include API routes without server-side authorization, ID-based data leaks, and payment checks that only happen in the browser.
Injection & unsafe input
User input flowing raw into SQL queries, shell commands, or HTML. It can work fine when you type into the form and still become a serious vulnerability when hostile input arrives.
Unbounded costs
No rate limits, no usage caps, no spend alerts. A viral launch or malicious script can drive LLM or cloud API costs before you notice.
No backups, no recovery plan
What happens if the database is corrupted, deleted, or held for ransom? If the answer is "I'd lose everything," you are carrying avoidable business risk.
Flying blind in production
No error tracking, no uptime monitoring, no logs worth reading. Without basic visibility, customers may hit failures before you know where to look.
Tools catch patterns. Human review turns them into launch decisions.
We combine scoped automated scanning with manual review of auth, data boundaries, secrets, deployment, recovery, monitoring, and business impact.
Every finding is tied to a practical question: can this leak data, bypass access control, break payments, spike costs, block deployment, or leave you blind in production?
- 01
Inventory the stack, frameworks, dependencies, IaC, deployment model, database, and exposed surfaces.
- 02
Run scoped automated scans and preserve raw evidence for traceability.
- 03
Manually inspect auth, permissions, data boundaries, payment paths, secrets, and production readiness.
- 04
Turn findings into a branded report with launch blockers, remediation order, and implementation options.
Dynamic or active testing only runs against approved targets with written authorization. Read the full audit approach.
Review areas
Server-side checks, admin boundaries, tenant isolation, and payment-state enforcement.
Credential leakage, environment handling, cloud permissions, and public repository risk.
CI/CD, backups, rollback path, observability, uptime checks, and incident basics.
Findings, evidence, risk order, remediation options, and implementation estimate.
If the findings turn into work, we can help you ship the fixes.
Reviews are the entry point. Post-audit engagements can cover remediation, deployment, infrastructure, monitoring, and fractional CTO support.
Remediation
Fix auth gaps, unsafe data paths, exposed secrets, dependency risk, payment checks, and launch blockers in a scoped implementation sprint.
Production setup
Set up environments, CI/CD, secrets management, backups, rollback paths, hosting, observability, and cost guardrails.
Launch advisory
Get senior technical judgment on architecture, roadmap, vendors, hiring, and the tradeoffs that matter before revenue depends on the app.
Post-audit services start at $5,000. See the full service menu and engagement model on the services page.
Built for developers who intend to monetize.
Paid engagements only. Each review is scoped before work starts so the findings are useful, complete, and worth acting on.
Launch Readiness Review
For AI-built apps preparing to take payments, onboard real users, or put customer data in production.
- One web app, one repo, and one deployment target
- Auth, permissions, secrets, and environment review
- Database, storage, dependency, and deployment risk scan
- Prioritized launch-risk report with remediation order
- Readout call and implementation estimate
Production Audit
For monetized apps with private data, admin roles, payment flows, teams, or multi-tenant SaaS behavior.
- Everything in the Launch Readiness Review
- Deeper code, configuration, and architecture assessment
- Threat-modeling for payments, roles, and sensitive data
- Monitoring, backup, rollback, and incident-readiness review
- Readout call and detailed implementation roadmap
Need help fixing what we find? Post-audit implementation engagements start at $5,000 and are scoped after review. Reviews and audits are launch-readiness engagements, not formal penetration tests, legal advice, HIPAA certifications, PCI assessments, SOC 2 attestations, or compliance certificates.
From "is this okay?" to a prioritized launch-risk plan in four steps.
Request a scope
Tell us what you built, what it handles, and what worries you. We confirm scope, access, timeline, and pricing before review begins.
We review or audit it
We dig through code, config, data flow, and infrastructure, then deliver a prioritized report in plain English.
Scope remediation
If you want implementation help, we scope the fixes, patch the highest-risk issues, and walk you through the recommended changes.
Launch with a clearer plan
You launch with a clearer risk picture, deployment and monitoring basics, and an agreed support path if you need post-launch help.
Ready to monetize? Start with the right review.
Tell us what you built, what data it handles, and what you need to know before launch. We'll confirm whether a review, production audit, or implementation path fits.
Start Scope Request// we review every request ourselves and aim to reply within one business day.