In many companies, software projects has issues, not because developers aren’t skilled, or because business doesn’t care, but because IT and business don’t communicate clearly. Misunderstandings about requirements, priorities, or what “done” means cost time and money. To build quality software, common language and clarity matter as much as tools or frameworks. This article examines

Memory changes how intelligent systems behave. Without it, agents reset with every interaction as though nothing has happened before. AI with memory can retain context, learn patterns, and adapt based on previous interactions. That’s key to real progress, especially when agents need to act reliably over time. Platforms like TestBooster.ai showcase how using AI in

Testing the back-end of an application isn’t optional, it’s essential. While front-end tests ensure users see what they expect, back-end validation confirms the system is actually doing what it promises. Without it, you risk data inconsistencies, broken workflows, failed integrations, and silent errors that only show up when it’s too late. In this scenario, TestBooster.ai

A new generation of artificial intelligence is emerging, and it’s set to dramatically reshape how companies operate and deliver results. We’re talking about AI agents, autonomous systems capable of making decisions, learning from experience, and carrying out complex tasks with little to no human intervention. The topic gained even more attention recently, after OpenAI announced

You’ve probably chatted with a bot online, used Siri to set a reminder, or seen some fancy AI tool take action on your behalf. Besides personal life, according to the study IBM Global AI Adoption Index (2022), 77% of companies are either using or exploring AI. But here’s the question: are these all the same