GitHub Copilot Agent Mode & Claude Code: August 2025 Major Update Complete Guide¶
Key Points¶
- This article is an archive from August 2025
- Model names, pricing, and features have changed significantly since then
- See the Multi-Agent Collaboration Guide for the latest
This article is an archive from August 2025
The information in this article is from August 2025 and may differ from current model names, pricing structures, and features. For the latest information, please refer to:
→ GitHub Copilot & Claude Code Multi-Agent Collaboration Guide (Latest: February 2026)
Introduction¶
In August 2025, a major transformation arrived in the world of AI coding agents. With the official launch of GitHub Copilot Agent Mode and performance improvements to Claude Code, developer productivity has reached a new dimension. This article comprehensively explains the details of these latest updates and practical usage methods.
Key Points¶
Fully Autonomous Coding
Automatically execute multi-file editing, test creation, and bug fixes from a single prompt
MCP Protocol Integration
Seamless local environment integration via GitHub MCP Server
Flexible Pricing
1,500 premium requests per month with Pro+ plan at $39/month
Multi-Model Selection
Choose the optimal model from Claude Sonnet 4 / 4.5, Gemini 2.5 Pro, and GPT-5 mini
GitHub Copilot Agent Mode: Revolutionary Autonomous Coding¶
What is Agent Mode¶
GitHub Copilot Agent Mode is a fully evolved autonomous coding agent that has gone beyond traditional completion-based AI. With its official launch in August 2025, it has been rolled out to all VS Code users along with MCP support.
// Example of automatic implementation with Agent Mode
// Prompt: "Implement a user authentication system"
// → Automatically creates files, adds tests, and updates configuration
Key New Features¶
1. Fully Autonomous Task Execution¶
Agent Mode goes beyond simple Q&A, automatically executing concrete actions from prompts:
- File Generation & Editing: Simultaneous editing of multiple files
- Automatic Test Creation: Test case generation alongside implementation
- Bug Fixing: Automation from problem detection to resolution
- Refactoring: Automatic code quality improvements
2. MCP Protocol Support¶
Integration of Model Context Protocol (MCP) dramatically improves local environment connectivity:
{
"mcp_server": "github-mcp-server",
"capabilities": [
"local_file_access",
"git_operations",
"environment_detection",
"service_integration"
]
}
3. Premium Request System¶
A new credit system for managing access to high-performance models:
- Target Models: Claude Sonnet 4 / 4.5, Gemini 2.5 Pro, GPT-5 mini
- Pro+ Plan: 1,500 premium requests per month at $39/month
- Pay-as-you-go: Additional usage available at extra cost
GitHub Copilot Coding Agent¶
Issue automation capabilities have been significantly enhanced:
- Issue Assignment: Automatically assign GitHub Issues to the Agent
- Environment Setup: Automatically build secure development environments on GitHub Actions
- Implementation Execution: Full automation from requirements analysis to implementation
- PR Creation: Automatic generation of draft pull requests
Implementation Tips
Copilot Coding Agent (cloud execution based on GitHub Actions) can work continuously for over 7 hours and achieves 72.5% accuracy on SWE-bench.
Claude Code: Performance and Accessibility Improvements¶
Latest Performance Metrics¶
Claude Code's foundation model achieves the highest performance levels for coding tasks:
- SWE-bench verified: Highest score among all models
- Code Generation Accuracy: Outperforms GPT-4.1
- Repository Understanding: Context comprehension for large-scale projects
Access Expansion¶
Starting June 4, 2025, Claude Code access expanded significantly:
# Claude Code available on Pro and Max plans
claude-code --project-path ./my-app --task "APIエンドポイントを追加"
Terminal-Native Advantages¶
Claude Code operates in a pure terminal environment, providing the following benefits:
- Lightweight: High resource efficiency without GUI
- CI/CD Integration: Natural integration with GitHub Actions
- Remote Development: Fast operation in SSH environments
Usage Strategy: Which Should You Choose¶
When GitHub Copilot Agent Mode is the Better Fit¶
- VS Code-centric development: When you want everything within the editor
- Team development: When GitHub integration features are a priority
- Multi-model usage: When you want to switch between multiple AI models
When Claude Code is the Better Fit¶
- CLI-centric development: When terminal work is primary
- High accuracy focus: When you need the highest quality code generation
- Simple environment: When you want to operate with minimal dependencies
# Practical usage examples
# For team development: GitHub Copilot Agent Mode
gh copilot suggest "認証機能をリファクタリング" --agent-mode
# For personal development: Claude Code
claude-code --refactor auth/login.js --optimize
Detailed Pricing Comparison¶
GitHub Copilot New Pricing Plans¶
| Plan | Monthly Price | Premium Requests | Agent Mode |
|---|---|---|---|
| Free | $0 | 50 | Yes |
| Pro | $10 | 300 | Yes |
| Pro+ | $39 | 1,500 | Yes |
| Business | $19/user | 300/user | Yes |
| Enterprise | $39/user | 1,000/user | Yes |
Claude Code Pricing¶
- Pro Plan: Claude Code access included
- Max Plan: Claude Code access included
- Pay-as-you-go: API usage-based billing
Important Note
Premium requests are only consumed when using high-performance models. Basic code completion is unlimited.
Practical Setup Guide¶
GitHub Copilot Agent Mode Setup¶
# Enable in VS Code
code --install-extension github.copilot-beta
# Manually enable Agent Mode
gh auth login
gh extension install github/gh-copilot
Claude Code Setup¶
# Install Claude Code
pip install claude-code
# Authentication setup
claude-code auth --token YOUR_API_TOKEN
Latest Trends and Roadmap¶
MCP Integration Expansion¶
The open-sourcing of GitHub MCP Server has accelerated custom MCP server development:
{
"mcp_servers": {
"github": "github-mcp-server",
"custom": "my-custom-mcp-server",
"database": "sql-mcp-server"
}
}
Automated Code Review¶
With the general availability of "Copilot code review," automated code review by AI agents has become standard:
- Bug Detection: Automatic identification of potential issues
- Performance Optimization: Efficiency improvement suggestions
- Security Checks: Proactive vulnerability discovery
Summary¶
The August 2025 updates marked the beginning of a new era for AI coding agents. Key takeaways are as follows:
- GitHub Copilot Agent Mode: Revolutionizing team development with fully autonomous coding
- Claude Code: Optimizing terminal environments with highest-accuracy code generation
- MCP Integration: Infinite possibilities through local environment connectivity
- Flexible Pricing: Optimal plan selection based on use case
By appropriately leveraging these tools according to their use cases, developers can achieve levels of productivity improvement that were previously impossible.