Tag: AI workflows
Microsoft’s GitHub Hit by Major Outage as AI-Driven Demand Strains Infrastructure
Jon Swartz | | AI infrastructure, AI workflows, API, copilot, Downdetector, github, GitHub Actions, GitHub outages, GitHub Pages, Government, microsoft, Microsoft Teams, Rubrik, zero-trustGitHub, the Microsoft Corp.-owned code hosting platform serving more than 180 million developers, is still reeling from a widespread outage on Monday that severely disrupted software development pipelines globally. The hours-long incident ...
MCP — A Protocol for SREsÂ
Jaimin Jashwantlal Gandhi | | agentic AI in financial services, AI agents, AI observability, AI workflows, AI-powered DevOps, Azure MCP server, building MCP servers, DevOps AI tools, Docker MCP server, infrastructure as code AI, integrated development environment AI, LLM context management, LLM interoperability, MCP, MCP architecture, MCP servers, Model Context Protocol, remediation automation, SRE automationThe Model Context Protocol (MCP) standardizes how AI agents access tools, APIs and data. Learn how SREs can leverage MCP to build smarter, automated workflows ...
Claude Introduces Agent Skills for Custom AI Workflows
Tom Smith | | Agent Skills, agentic development, AI agents, AI automation, AI for developers, AI for DevOps teams, AI workflows, Anthropic Agent Skills, Anthropic AI tools, Anthropic Claude, CI/CD pipelines, Claude AI update, Claude API, Claude Code, Claude Code Execution Tool, Claude marketplace, Claude planning, Claude SDK, Claude Skills, Claude web app, DevOps AI, devops automation, infrastructure automation, Intent-Driven Development, reusable AI skillsAnthropic introduces Agent Skills for Claude — a new system that packages instructions, scripts, and resources into reusable folders across Claude’s web app, API, and Claude Code. Skills make AI assistants composable, ...
Context Engineering is the Key to Unlocking AI Agents in DevOpsÂ
Harshil Shah | | AI agents, AI coding tools, AI developer tools, AI IDEs, AI in DevOps, AI software development, AI workflows, AI-Driven DevOps, AI-powered development, context engineering, context provisioning, devops automation, intelligent agents, MCP protocol, SDLC AIAI agents can code, test, and deploy—but only with the right context. Learn how context engineering unlocks DevOps-ready AI for the full SDLC ...
