Llm

Summary Ollama is a tool for running open-weight large language models locally—on a laptop, workstation, or server—rather than calling a hosted cloud API. It

Summary vLLM is an open-source library for serving large language models with high throughput and efficient memory use. Originally developed at UC Berkeley, it

Update June 2026. I wrote this in March. Three months and several studies later, the thesis has held up but sharpened. Rather than writing a second article, I

Summary Claude is Anthropic's family of AI assistants built on large language models, trained with a focus on safety and helpfulness for tasks ranging from

Summary Generative AI (GenAI) is a class of AI models that create new content by learning statistical patterns from large datasets, enabling applications such

Summary LangChain is an open-source Python and JavaScript framework that simplifies building LLM-powered applications by providing composable abstractions for

Summary A Large Language Model (LLM) is a neural network with billions of parameters trained on vast text datasets to predict and generate coherent language,

Most AI coding assistants are tightly coupled to a single provider. Switching often means changing tools, reconfiguring workflows, or losing context. OpenCode

If you’ve been using AI in software engineering for a while, you know the real productivity jump doesn’t come from "chatting about code". It comes

In 2026, “tech trends” are less about shiny launches and more about the forces that shape everyday IT work—how software gets built, how systems stay secure, how

Remember last July when we dug into Ollama and its promise for local AI? Well, a lot has happened since then. Ollama has rolled out some pretty significant

The Model Context Protocol (MCP) specification was introduced by AI research company Anthropic. Since its release, it has seen widespread adoption across

In recent years, artificial intelligence has dramatically changed the way we work, highlighting just how much it can enhance human creativity and

It’s no surprise that artificial intelligence continues to dominate headlines, with new breakthroughs, tools, and regulations shaping the way we interact with

In the previous parts (part one and part two) of this blog series, we explored the challenges facing DevOps today, how AI can address them, and how to build

In the first part of our blog series, we explored the different challenges of DevOps and how AI can address them. We also introduced the fundamentals of

DevOps is a key success factor for modern software development and we have most definitely come across AI in one way or another. The intersection of AI and

The rise of AI in DevOps has been causing a revolution in how we approach software development and operations. We're witnessing a shift in our industry, where

In today's rapidly evolving technology landscape, local Large Language Models (LLMs) are emerging as a pivotal force, particularly in the areas of DevOps and

In the rapidly evolving world of artificial intelligence, the challenge isn't about what AI can do — it's about how seamlessly it can be integrated into our

In the ever-evolving field of software development, AI coding assistants have emerged as powerful tools to enhance productivity and code quality. Integrated