“The world breaks everyone, and afterward many are strong at the broken places” – Ernest Hemingway. The same is true for software applications, though we can not afford to wait for this to break all the time. For years, security teams have focused on one thing: protecting the application, patching the servers, securing the APIs, ...

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Since the AI wave began, the question we hear most often is, “Will AI replace developers?” Whether you look at LinkedIn, Google, or any other platforms, this is the discussion everywhere. AI may be able to generate code within seconds, but completing reliable, scalable software projects still requires experienced developers. The growing confidence of developers ...

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“The only way to predict the future is to have power to shape the future” Eric Hoffer. AI is almost a fly buzzing in every corner of our lives in 2026. From the apps your phone uses to how whole organizations plan and run, AI is no longer a theoretical future concept; its practical manifestation ...

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“Mastering prompts isn’t about asking questions – it’s about unlocking answers by asking the right ones.” – Emmanuel Apetsi AI models are dependent on prompt engineering to fuel them. It’s not simply typing commands to produce outputs anymore. Now, this takes some thought and creativity, because the slightest adjustment can have your AI model singing ...

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Large Language Models (LLMs) have drastically changed the way software systems process information, produce responses, and aid humans in making decisions. But for all their wizardry at reasoning and natural language, LLMs have a fundamental limitation; They do not intrinsically “understand” your data. All those techniques, including RAG, Agentic-RAG, and Model Context Protocol, are there ...

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“We are the authors of intelligence. Let’s write with care.” Artificial intelligence has changed the way humans interact with machines. For years, interactions were prescriptive, subject to menus and buttons, and command-based APIs. Today, interaction is linguistic. We address machines in natural language, and the machines answer back with texts that often read as reason, ...

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It was silent in the conference room as Sarah, a product manager at a fintech start-up, looked at her laptop screen in shock. Their AI-driven customer service chatbot, which had performed flawlessly over a three-month period, was suddenly spewing gibberish in response to basic banking inquiries. Only yesterday, it was enabling people to easily see ...

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Have you ever wondered how to define empathy? We use that word every now and then to show that we as humans “care”. So, what is it? Empathy is an innate human quality (more precisely, an emotion) that drives our understanding, compassion, and connection with others. You can say it is a fundamental part of ...

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The age of Generative AI (Gen AI) has changed the way we develop, verify, and deploy intelligent systems. The AI is no longer constrained to pre-defined tasks, but makes decisions, interprets, and creates new content on its own instead. This shift in paradigm, although exciting, poses a significant challenge: how can we make it so ...

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Artificial Intelligence (AI) is swiftly turning into an array of various branches, each one intended to fulfill specific tasks. Two of these are the Agentic AI and Generative AI; they are powerful, but fundamentally different approaches. Systems that make autonomous decisions are more oriented towards agentic AI, and allow the systems to work, act, and ...

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