MCP Joins the Linux Foundation: What It Means for AI Agents Anthropic donated the Model Context Protocol to the Linux Foundation. Here's why MCP hit 37k stars in eight months and what neutral governance means for developers building AI agents.
Speed Is Nothing Without Control: Keeping Quality High in AI Era AI coding tools make you faster, but speed without quality just compounds technical debt. GitHub Code Quality uses CodeQL and LLMs to catch maintainability issues in pull requests with one-click fixes. Here's how to move fast without breaking things.
The New Identity of a Developer: From Code Producer to Creative Director GitHub's research with advanced AI users reveals a fundamental identity shift: developers are moving from code producers to creative directors, focusing on orchestration and verification rather than implementation.
GitHub Copilot Spaces: Debug Issues With Full Project Context GitHub Copilot Spaces bundles your project knowledge—files, PRs, issues, docs—so AI responses are grounded in your actual codebase. Auto-syncs with your repo and works directly in your IDE via the GitHub MCP server.
GitHub Copilot Custom Agents: Extend AI Across Your Stack GitHub Copilot now supports custom agents — Markdown-defined domain experts that extend AI across your observability, security, IaC, and DevOps tools. Partner-built agents from PagerDuty, JFrog, MongoDB, and 15+ others are available today.
Home Assistant: The Local-First Rebellion Running 2M Homes Home Assistant grew to 21,000 contributors in a year, ranking alongside AI giants in GitHub's Octoverse. It's a local-first automation platform running in 2M+ homes—no cloud required. Here's how it works and why it matters.
How to Orchestrate Multiple GitHub Copilot Agents at Once GitHub's mission control lets you run multiple Copilot agents in parallel across repos. The shift from sequential to orchestrated workflows changes everything—if you know how to steer agents mid-run and review their work efficiently.