QATestLab Blog

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VivaTech 2026: Practical QA Lessons from AI, Robots, and Real-World Demos

At VivaTech 2026 in Paris, QATestLab joined one of Europe’s biggest startup and tech events at a moment when AI, robotics, mobility, and interactive product demos were taking over the

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PGC Barcelona 2026: Indies, Demos, and Player Experience in Focus

Pocket Gamer Connects Barcelona centered its two days entirely around personal connections and direct dialogue. Our team actively connected with studios to help them address quality risks and map out

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How to Launch Evaluation Pipeline for AI Agents: An 8-Week Checklist

An evaluation pipeline for AI agents starts with tracing, moves through failure analysis and automated scoring, and turns into a cycle of experiments that make agents better over time. This

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Managed Game Testing: Keep Your QA Stable During Summer Vacations

Managed game testing is a model in which a studio delegates its QA process to an external partner for a defined period, such as summer vacations. The goal is to

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When AI Becomes More Than a Tool: Dublin Tech Summit 2026 Insights

Dublin Tech Summit gathered founders, builders, and tech teams for two dynamic days in one of Europe’s most energetic tech capitals. Our team was on the ground to read where

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How We AI: AI-Written Test Cases vs. Human Review

Give an AI tool a clear requirement, and within a minute, you can get a structured draft with preconditions, steps, and expected results. A year ago, that felt impressive. Today,

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Real Devices and Virtual Devices: How to Build an Effective Mobile Testing Strategy in 2026

As device ecosystems become more diverse and user expectations continue to rise, choosing the right testing approach has become a critical decision for mobile teams in 2026. The question is

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How To Prepare a Betting Platform for World Cup 2026

The 2026 FIFA World Cup is the largest in FIFA history: 48 teams instead of 32, stretched across 104 matches over 39 days and hosted in three countries with different

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32 AI Agents Across 4 Platforms: Building a Robust Evaluation System for AI Solutions

AI agents are entering real business workflows, but their quality is hard to measure consistently. A single request can involve reasoning, tool calls, external data, and several decisions, so teams

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AI-powered Testing and Test Automation: (Not) the Same Approach 

AI-powered testing refers to the use of machine learning and data-driven approaches to support test creation, analysis, and optimization, while test automation focuses on scripted, repeatable checks with predefined expected

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Wellness Apps: 5 Quality Obstacles and How To Overcome Them

Wellness apps are integral to self-care. People use them to track workouts, count steps, monitor heart rate, and track data about their bodies. That is a high level of trust,

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