Como testar código gerado por IA: o novo desafio do QA em 2026

AI is already being used to generate code, create tests, fix bugs, build queries, suggest components, and accelerate entire deliveries. But there's a question that still needs to be asked more seriously: Who guarantees that this code is actually correct? In this video, we'll talk about one of the biggest current challenges for QA professionals: how to test AI-generated code. Artificial intelligence can greatly assist in development, but it can also generate code that only looks right. Sometimes it compiles, works in the happy scenario, and passes basic validation, but still hides problems with business rules, security, performance, integration, maintenance, and even poorly constructed automated tests. Here you will understand how a QA should analyze deliveries made with AI support, what risks to observe, what questions to ask, how to create a mental validation checklist, and how to use AI itself to support the creation of test scenarios, without blindly depending on it. This content is aimed at QA professionals, testers, quality analysts, people in career transition, and also those already working with testing who want to adapt to the new landscape of AI-accelerated development. What you will learn: ✅ What does AI-generated code mean in practice? ✅ Why code that compiles doesn't mean correct code ✅ What is the new role of QA in AI-assisted deliveries? ✅ How to create a mental checklist for testing AI-generated code ✅ How to validate business rules, negative scenarios, and edge scenarios ✅ How to review AI-generated automated tests ✅ What are the main risks: security, performance, integration, and maintenance ✅ How to use AI to support the creation of test scenarios ✅ Why QA shouldn't compete with AI, but learn to use AI judiciously Chapters: 00:00 - Introduction 00:42 - The real problem 02:42 - What does "AI-generated code" mean? 04:47 - The first mistake: trusting because it "compiled" 06:16 - The role of QA in this new scenario 07:40 - Mental checklist for testing AI-generated code 10:54 - Practical example: Field validation 13:20 - Practical example: AI-generated automated test 15:39 - The main risks of AI-generated code 18:44 - How to test a deliverable made with AI 22:43 - How QA can use AI to test AI-generated code 24:23 - Example of a useful prompt for QA 27:08 - Will QA be replaced? 28:35 - Closing #QA #QualityAssurance #SoftwareTesting #AI #ArtificialIntelligence #AIGeneratedCode #QACareer #TestAutomation #SoftwareTesting #QATester #SoftwareTesting #AI