2026 年 10 月必知的 5 項開發者工具及教學

1. GitHub Copilot Studio's AI-Powered Code Review

What it is:

GitHub Copilot Studio has introduced AI-powered code review capabilities that analyze your code changes and provide detailed feedback to streamline the review process.

Why now:

With the recent update, Copilot Studio now leverages AI to improve code quality and make code reviews faster and more efficient.

Tutorial angle:

Learn how to set up AI-powered code reviews, interpret AI feedback, and integrate this feature into your daily workflow.

Difficulty:

Intermediate

Start today:

Enable AI code review in Copilot Studio by navigating to Settings > Advanced Settings and toggling on Enable AI Code Review.

2. Azure AI Foundry's New AI Model Marketplace

What it is:

Azure AI Foundry's AI Model Marketplace offers a wide range of prebuilt and customizable AI models for various applications.

Why now:

The recent update has made it easier for developers to discover, test, and integrate AI models directly from the marketplace.

Tutorial angle:

A step-by-step guide on browsing, selecting, and deploying AI models, along with best practices for model evaluation and integration.

Difficulty:

Intermediate

Start today:

Visit the Azure AI Model Marketplace and explore available models for your projects.

3. Bicep 2.0 for Azure Resource Management

What it is:

Bicep 2.0 is the latest version of the domain-specific language for deploying Azure resources, featuring enhanced syntax and better support for complex deployments.

Why now:

Bicep 2.0 has been released with significant improvements, making it a powerful tool for managing Azure infrastructure as code (IaC).

Tutorial angle:

Compare Bicep 2.0 with previous versions, and learn how to write, validate, and deploy complex IaC templates using the new features.

Difficulty:

Intermediate

Start today:

Install Bicep 2.0 using the following command:

az bicep install

Then, initialize a new Bicep project with:

bicep init

4. Microsoft Agent Framework's New SDK for AI Agents

What it is:

The new SDK from the Microsoft Agent Framework enables developers to build custom AI agents with advanced natural language processing capabilities.

Why now:

This SDK provides tools to create more powerful and intelligent AI agents, leveraging Azure AI services.

Tutorial angle:

A hands-on tutorial on building a custom AI agent, integrating it with Azure AI services, and deploying it for real-world applications.

Difficulty:

Intermediate

Start today:

Download the Microsoft Agent Framework SDK and start building your AI agent.

5. VS Code & VS 2026 New Extensions for AI Development

What it is:

New extensions for VS Code and Visual Studio 2026 enhance AI development, including tools for TensorFlow and PyTorch.

Why now:

The recent update offers better support for AI frameworks, making AI model development more efficient.

Tutorial angle:

Review the new AI development extensions, compare their features, and demonstrate their use in a real-world AI project.

Difficulty:

Intermediate

Start today:

Install the TensorFlow extension for VS Code from the Visual Studio Marketplace.

Building in public: my lead-gen engine

To curate this list, I used a combination of AI-driven research tools, web search analytics, and community-driven platforms like Hacker News and GitHub. The key sources were:

Azure Blog: For updates on Azure AI Foundry and Bicep 2.0.
GitHub Blog: For insights into Copilot Studio's AI capabilities.
Microsoft Agent Framework Documentation: For details on the new SDK.
Visual Studio Blog: For information on AI development extensions.

Key takeaways:

AI is increasingly integrated into developer tools.
Azure continues to expand its AI offerings.
AI-powered code reviews and AI model marketplaces are gaining traction.

Start with this today

Try GitHub Copilot Studio's AI-powered code review:

Navigate to your repository on GitHub.
Open a Pull Request.
Enable AI code review by clicking "Enable AI" in the review settings.

Picks of the week:

Question for you:

What AI tools are you currently using, and how do they impact your workflow? Share your thoughts in the comments below!

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