News from the AI & ML world
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Ross Kelly@Latest from ITPro
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GitHub has launched a new AI coding agent for Copilot, designed to automate tasks and enhance developer workflows. Unveiled at Microsoft Build 2025, the coding agent is available to Copilot Enterprise and Copilot Pro+ users and is designed to handle "low-to-medium complexity tasks" such as adding features, fixing bugs, refactoring code, and improving documentation. CEO Thomas Dohmke highlighted that the agent is embedded directly within GitHub, activated by assigning a GitHub issue to Copilot.
The coding agent operates within a secure and customizable development environment powered by GitHub Actions. Once a task is assigned, the agent boots a virtual machine, clones the relevant repository, sets up the development environment, analyzes the codebase, and pushes changes to a draft pull request. Developers can monitor the agent's progress through session logs, ensuring transparency throughout the process. Crucially, all pull requests require human approval before CI/CD workflows are executed, adding an extra layer of security.
In related news, GitHub and Microsoft are joining forces with Anthropic on the Model Context Protocol (MCP) standard. This move aims to create safer AI agent deployments by establishing a universal protocol for AI models to access data from apps and services. MCP allows AI clients to discover servers and call their functions without extra coding. Microsoft and GitHub will add first-party support across Azure and Windows to help developers expose app features as MCP servers, improve security, and add a registry to list trusted MCP servers.
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References :
The coding agent operates within a secure and customizable development environment powered by GitHub Actions. Once a task is assigned, the agent boots a virtual machine, clones the relevant repository, sets up the development environment, analyzes the codebase, and pushes changes to a draft pull request. Developers can monitor the agent's progress through session logs, ensuring transparency throughout the process. Crucially, all pull requests require human approval before CI/CD workflows are executed, adding an extra layer of security.
In related news, GitHub and Microsoft are joining forces with Anthropic on the Model Context Protocol (MCP) standard. This move aims to create safer AI agent deployments by establishing a universal protocol for AI models to access data from apps and services. MCP allows AI clients to discover servers and call their functions without extra coding. Microsoft and GitHub will add first-party support across Azure and Windows to help developers expose app features as MCP servers, improve security, and add a registry to list trusted MCP servers.
ImgSrc: cdn.mos.cms.fut
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References :
- The Register - Software: GitHub Copilot angles for promotion from assistant to agent
- The Tech Basic: GitHub and Microsoft Join Forces on Anthropic’s MCP Standard
- Latest from ITPro in News: GitHub just unveiled a new AI coding agent for Copilot – and it’s available now
- thenewstack.io: GitHub Launches Its Coding Agent
- AI News | VentureBeat: GitHub Copilot evolves into autonomous agent with asynchronous code testing
- www.zdnet.com: Copilot's Coding Agent brings automation deeper into GitHub workflows
- The Tech Portal: Microsoft Build 2025: GitHub Copilot gets AI boost with new coding agent
- CIO Dive - Latest News: GitHub Adds Agentic Capabilities to Copilot in Latest Automation Push
- Ken Yeung: The New GitHub Copilot Agent Doesn’t Just Help You Code—it Codes for You
Classification:
- HashTags: #GitHubCopilot #AICoding #MCPStandard
- Company: GitHub
- Target: Software Developers
- Product: Copilot
- Feature: AI Coding Agent
- Type: AI
- Severity: Medium