Artificial Intelligence

There is an uncomfortable truth many experienced engineers are starting to notice but rarely say out loud: Coding with AI agents makes us faster, but often less engaged. Not bored. Not frustrated. Just… less interested. This is not a complaint about AI quality, nor a rejection of progress. It is

In the current era of AI, technology evolves faster than ever. Every few months, a new framework, SDK, or specification emerges, promising to make development easier, faster, and smarter. Many believe that “spec-driven skills” — the ability to quickly learn and apply what’s written in documentation — are all that matter

In the rapidly evolving world of artificial intelligence, measuring the true performance of a Large Language Model (LLM) has become as important as building it. Amidst this race, LMArena — formerly known as Chatbot Arena — has emerged as one of the most influential and talked-about platforms for LLM benchmarking through human

In today’s technology-driven era, AI is becoming increasingly capable of answering questions, solving problems, and assisting in decision-making. However, there are still clear limits to what AI can do. AI is not a human, and it does not know everything. It is essentially a system that processes data and

In the rapidly evolving world of Artificial Intelligence (AI), one often overlooked yet critical concept is context. While the algorithms, data, and computing power tend to take the spotlight, context quietly shapes the quality, accuracy, and relevance of AI's output. Without it, even the most sophisticated models would