The vibe coding wave is real — Lovable, Cursor, Bolt, and v0 let anyone ship an app in a weekend. But AI-generated code skips edge cases, ignores security, and has zero test coverage. We fix that before your users find it.
30 minutes · Senior engineer · No commitment
Every layer of your app — from the UI your users see to the APIs and auth flows they never should.
Every user flow, form, button, and edge case. We test what real users do — and what they shouldn't be able to do.
Every endpoint tested for correct responses, error handling, auth enforcement, and unexpected input handling.
Login, signup, password reset, session management, role-based access — all tested against common bypass techniques.
Stripe, Paddle, or custom payment flows tested end-to-end including failure states, webhooks, and edge cases.
SQL injection, XSS, broken auth, IDOR, data exposure — the vulnerabilities AI tools consistently miss.
Core Web Vitals, load times, and API response times measured and benchmarked before you go live.
If you built it fast with AI tools, you need this before you launch.
You shipped an MVP in 48 hours. Now you need to know if it's actually safe to put real users on it.
You can't read the code yourself. We give you a plain-English report of exactly what's broken and how serious it is.
You're technical but moving fast. A second set of eyes catches the edge cases you didn't have time to think about.
Before you hand off to a client, run it through us. Protect your reputation and your client's users.
QA gaps show up as regressions, store rejections, and security findings — usually right before launch.
Manual smoke tests can't keep pace with weekly releases.
Lovable and Cursor prototypes reach staging without auth or edge-case coverage.
Mobile flows break on OS versions QA didn't cover.
Testing in launch week makes fixes expensive and stressful.
Manual, Cypress/Playwright, API, k6 performance, and security testing.
We harden vibe-coded apps before production traffic.
Code review from seniors who build Laravel, React, and Flutter daily.
Go/no-go reports with severity-rated bugs — not vague pass/fail.
OWASP-focused web and API tests; pen testing available.
Read-only repos; anonymized test data where required.
“What a 70-engineer team could not deliver, a small senior team at GreeLogix shipped. The app went from stuck to live across mobile, web, and backend.”
At-a-glance scope, pricing tiers, delivery timelines, engineering tradeoffs, and decision criteria for technical founders and product leaders.
Software QA and technical audit services cover manual and automated testing, performance and security checks, and senior engineer code review — especially for AI-generated or inherited codebases before production launch.
Pricing depends on scope, integrations, and timeline. GreeLogix provides transparent fixed-milestone quotes after discovery, with flexible models for one-off audits, sprint retainers, or dedicated engineers.
Need to model sprint hours and coverage? Use our QA estimation calculator.
Smoke audit: 1 week. Full regression cycle: ongoing per sprint. Deep code audit: 5–7 business days. Phases: Strategy (Week 1); Execution (Per sprint); Automation (Parallel).
Compare delivery models, cost profiles, and engineering tradeoffs before committing resources.
| Option / Approach | Best When | Primary Tradeoff / Risk | Recommended Fit |
|---|---|---|---|
| Developer-only testing | Early prototype with no paying users yet | Developers tend to test happy paths; misses subtle regression side effects, UX edge cases, and cross-browser quirks. | Early pre-revenue prototypes |
| Crowdtesting platforms | One-off device coverage without domain context | Fragmented bug reports without codebase context, inconsistent reproducibility, and zero sprint continuity. | One-off device compatibility checks |
| Automated scanning only | Known stack with mature CI; catches syntax not workflow bugs | Catches syntax and linting issues but remains completely blind to workflow breakdowns and complex business logic errors. | Baseline CI static analysis |
| GreeLogix Pod | You need production release confidence, automated regression suites, and senior QA engineers embedded in your sprint. | Requires active product owner for weekly sprint reviews and scope alignment. | Production & Scaling (Recommended) |
Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.
AI code generation tools accelerate prototyping by 10x, but they consistently introduce critical failure patterns that automated scanners and compilers fail to detect. Because LLMs generate code probabilistically, they prioritize syntactically pleasing outputs over defensive error boundaries, authorization rules, and production data isolation.
Our engineers test each platform according to its unique architectural footprint, auditing both the client-side interaction layer and the underlying backend data contracts.
Moving from an AI prototype to an enterprise-ready production application requires right-sized quality verification. Whether you need an immediate pre-launch defect sweep or embedded QA across ongoing rapid prompt iterations, we offer transparent fixed-scope tiers.
Answers to the buyer questions we hear most before a project starts.
It's a structured audit of apps built with tools like Lovable, Cursor, Bolt, or v0 — covering UI/UX, API endpoints, authentication, payment flows, performance, and security. AI tools write code fast but skip edge cases, test coverage, and security hardening.
Most audits are completed within 3–5 business days. Complex apps with payment integrations or custom auth flows may take up to 7 days.
Yes. Our audit includes a detailed bug report with severity ratings, and we offer a fix package where our engineers resolve all critical and high-severity issues.
We test apps regardless of how they were built. We're familiar with the patterns and common failure points in Lovable, Cursor, Bolt, v0, and Replit-generated codebases.
The base audit covers manual testing of all core user flows, API endpoint validation, basic security checks (OWASP Top 10), and a written report with severity-rated findings. Automated test suite setup and fix implementation are available as add-ons.
You share your app, user flows, and any known issues. We scope the audit and confirm timelines.
We map every feature, endpoint, and user flow into a structured test plan before touching the app.
Our engineers run manual exploratory tests alongside Cypress and Playwright automated suites.
You get a severity-rated bug report within 5 days. Optional: we fix everything critical before launch.
Tell us about your app and we'll scope your audit. Most projects start within 48 hours.
Validate AI-generated code, ship with confidence, and catch issues before launch.
Use our free calculators and planners — then book a strategy call when you are ready for a senior engineer review.
Case studies, guides, and free tools from the same engineering team.
Every type of testing your product needs — from manual audits to AI-app hardening and accessibility compliance.
Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.
You'll talk to Abuzer — the senior engineer who'll scope your build
Founder & Senior Engineer · Response within 4 business hours
Book a Free 30-Min CallResponse within 4 business hours · No commitment on first call