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‘Skill’ is the latest buzzword in agentic AI workflows, and you will know this for sure if you use any of the AI coding platforms today. We explored Skills in Claude Code in detail in a previous article. Though not all developers prefer the same AI tool for coding help. Another major player in this field is Replit, and the best part is – even Replit offers Skills as a feature. Only, on Replit, these are packaged as Agent Skills. So what are these Agent Skills? How do they work? And should you really be using them? We shall try…

Image by Editor   # Introduction  Large language model operations (LLMOps) in 2026 look very different from what they were a few years ago. It is no longer just about picking a model and adding a few traces around it. Today, teams need tools for orchestration, routing, observability, evaluations (evals), guardrails, memory, feedback, packaging, and real tool execution. In other words, LLMOps has become a full production stack. This is why this list is not just a roundup of the most popular names; rather, it identifies one strong tool for each major job in the stack, with an eye on what…

Over the past 24 hours, the developer community has been obsessed with one thing. A leak. The source code of Claude Code, one of the most advanced AI coding systems, surfaced online. Within hours, GitHub was flooded with forks, breakdowns, and deep dives. For developers, it felt like rare access. While for Anthropic, it was a serious breach that exposed internal systems, architectural decisions, and months of work not meant to be public. But beyond the chaos and curiosity, there is a more important question. What made this system so powerful in the first place?  In this article, we move…

Image by Editor   # Introduction  Chances are, you already have the feeling that the new, agent-first artificial intelligence era is here, with developers resorting to new tools that, instead of just generating code reactively, genuinely understand the unique processes behind code generation. Google Antigravity has a lot to say in this matter. This tool holds the key to building highly customizable agents. This article unveils part of its potential by demystifying three cornerstone concepts: rules, skills, and workflows. In this article, you’ll learn how to link these key concepts together to build more robust agents and powerful automated pipelines. Specifically,…

You probably use Google on a daily basis, and nowadays, you might have noticed AI-powered search results that compile answers from multiple sources. But you might have wondered how the AI can gather all this information and respond at such blazing speeds, especially when compared to the medium-sized and large models we typically use. Smaller models are, of course, faster in response, but they are not trained on as large a corpus as bigger parameter models. Hence, several approaches have been proposed to speed up responses, such as Mixture of Experts, which activates only a subset of the model’s weights,…

Image by Editor   # Introduction  Creating a website is significantly more accessible than it was in the past. Artificial intelligence website builders can now generate a full site from a short description, including layout and basic content. While you still need to edit and adjust elements, the starting point is far superior to a blank page. In this article, I will share 7 artificial intelligence website builders that are worth trying, especially if you want to start for free.   # 1. Wix AI Website Builder   Wix remains the most complete all-in-one builder, offering artificial intelligence-generated site drafts alongside a massive…

Do you remember the very first AI voice conversation that you had? No doubt, it felt unreal getting live answers from a talking bot. But the one thing largely missing from the interaction was the feel of a human responding to your queries. Years on, we now see AI models have evolved largely in this matter. And one such recent example comes from the house of Google with the moniker – Gemini 3.1 Flash Live. With this launch, Google makes one big claim – it delivers the quality of a “next generation of voice-first AI.” So what is it? How…

AI demos often look impressive, delivering fast responses, polished communication, and strong performance in controlled environments. But once real users interact with the system, issues surface like hallucinations, inconsistent tone, and answers that should never be given. What seemed ready for production quickly creates friction and exposes the gap between demo success and real-world reliability. This gap exists because the challenge is not just the model, it is how you shape and ground it. Teams often default to a single approach, then spend weeks fixing avoidable mistakes. The real question is not whether to use prompt engineering, RAG, or fine-tuning,…

Multimodal AI has grown from novelty to a must in recent times. Need proof? If I were to tell you to work on an AI model that only understands text, you would probably laugh and throw 10 model names at me that can work across formats – be it text, audio, or visuals. The new race, thus, for the bigwigs, is not to make just another AI model, but a system that can understand the world more like humans do. This is naturally done through language, visuals, sound, and motion together. That is the space Alibaba’s new Qwen3.5-Omni enters. The…

Image by Author   # Introduction  Remember when building a full-stack application required expensive cloud credits, costly API keys, and a team of engineers? Those days are officially over. By 2026, developers can build, deploy, and scale a production-ready application using nothing but free tools, including the large language models (LLMs) that power its intelligence. The landscape has shifted dramatically. Open-source models now challenge their commercial counterparts. Free AI coding assistants have grown from simple autocomplete tools to full coding agents that can architect entire features. And perhaps most importantly, you can run state-of-the-art models locally or through generous free tiers…