Ai

Summary The Agent-to-Agent (A2A) protocol is an open standard that lets independent AI agents discover one another, exchange messages, and delegate tasks across

Summary Claude Code is Anthropic's coding agent, built on the Claude family of large language models. It operates directly in a developer's terminal and

Summary Cursor is an AI-powered code editor that integrates large language models directly into the development environment. Beyond inline code completion and

Summary The EU AI Act—Regulation (EU) 2024/1689—is the European Union's comprehensive law for regulating artificial intelligence. It takes a risk-based

Summary GitHub Copilot is an AI coding assistant from GitHub. Launched in 2021, it was one of the first mass-market AI pair-programming tools, offering inline

Summary The Model Context Protocol (MCP) is an open, vendor-neutral standard that defines how AI assistants discover and call external tools, read resources,

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

Summary Aider is a command-line AI coding assistant that connects to LLMs such as GPT-4 or Claude to make edits across multiple files in a local Git repository

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 Continue is an open-source IDE extension for VS Code and JetBrains that brings LLM-powered chat, inline code completion, and multi-file edits into the

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

A lot has happened in the eight months since we covered Mondoo's March 2025 release. If you're already using the platform, you've probably noticed some big

How Claude Sonnet 4.5 and GitHub Copilot helped us navigate the maze of custom Backstage integrations The Backstage Promise (and the Reality) Spotify's

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 world of AI is evolving rapidly, and with it, the way we interact with APIs and infrastructure. At Infralovers, we're excited to explore how Postman's new

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

Join me as I dive into the Zed text editor, a powerful and fast open-source alternative to VS Code. Developed in Rust and designed with speed in mind, Zed is

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

Unlocking new possibilities with AI-powered terminal integration In the dynamic world of software development, staying at the cutting edge is essential. The