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Let's discuss

App QA & Production Readiness

Get your vibe-coded or AI-built app production-ready with expert manual QA, security testing, and automated test creation & expert manual QA, security testing, and automated test creation for production-ready apps.

Ship With Confidence, Not Crossed Fingers

Problem

AI tools and no-code platforms make building apps fast, but they skip edge cases, security gaps, accessibility failures, and bugs that surface when real users start clicking.

Solution

We partner as a two-person QA team: my colleague handles comprehensive test case creation, manual QA, and security testing including prompt injection. I cover code-level work, automated test suites, and deployment readiness.

Services (All Optional, Mix & Match)

  • Manual QA & Exploratory Testing: real-user scenarios, edge cases, cross-browser checks
  • Security Audit: prompt injection testing, input validation, auth flow review, OWASP checks
  • Accessibility Review: WCAG compliance, screen reader testing, keyboard navigation
  • Automated Test Suite Creation: end-to-end tests, unit tests, CI/CD pipeline integration
  • Production Readiness Report with prioritized findings and fix recommendations

Process Snapshot

Requirements Gathering

Script Development & Testing

User Testing & Iteration

Handover & Documentation

Identify Pages and sections tested per engagement

Base Pricing based on scope and services selected

All test cases and Trends automated suites delivered to you

Get a Free QA Assessment Get Now

Frequently Asked Questions

What is QA for AI-built and no-code apps, and why is it needed?
QA for AI-built and no-code apps is a structured testing process that checks whether applications generated by tools like Cursor, Bolt, Lovable, or no-code platforms actually work correctly in real-world conditions. AI code generators and no-code builders can produce functional-looking apps quickly, but they often introduce subtle bugs, security vulnerabilities, and accessibility gaps that are not immediately visible. Without dedicated QA, these issues reach your users and can damage trust, expose sensitive data, or create compliance problems. Testing catches what the AI missed before your customers do.
What is included in a production readiness assessment?
A production readiness assessment covers five core areas: functional testing to verify all features work as expected across different scenarios, security testing to identify vulnerabilities like injection attacks and authentication bypasses, accessibility review against WCAG 2.1 AA standards, performance testing under realistic load conditions, and cross-browser and cross-device compatibility checks. You receive a detailed report with prioritized findings, severity ratings, and specific remediation steps for each issue. The assessment also includes an automated test suite that you can run on future releases to catch regressions.
What is prompt injection testing, and does my app need it?
Prompt injection testing checks whether an attacker can manipulate your application by crafting inputs that override or bypass the AI instructions your app relies on. If your app uses any form of LLM or AI processing on user input, it is vulnerable to prompt injection by default. This includes chatbots, content generators, AI search features, and any tool that passes user text to an AI model. Testing involves submitting adversarial inputs designed to extract system prompts, bypass content filters, or cause the AI to behave in unintended ways. Every AI-powered app should be tested for prompt injection before going to production.
How long does a full QA engagement typically take?
A standard production readiness assessment for a single application takes five to ten business days depending on the app's complexity and number of features. Simple landing pages or single-purpose tools may take three to five days. Complex multi-page applications with user authentication, payment processing, and API integrations typically require the full ten days. Rush engagements are available for apps that need to launch on a tight timeline. You receive preliminary findings within the first two to three days so critical issues can be addressed immediately while testing continues.
What platforms and frameworks do you test?
Testing covers web applications built with any technology stack, including React, Next.js, Vue, Svelte, and traditional server-rendered frameworks like Django, Rails, and Laravel. No-code platforms like Bubble, Webflow, Softr, and Glide are also supported. Mobile-responsive web apps are tested across iOS and Android browsers. For native mobile apps, testing focuses on the web API layer and any embedded web views. The testing process is framework-agnostic because it focuses on what users actually experience, not the underlying technology. If it runs in a browser or makes API calls, it can be tested.