If you've associated GitHub Copilot only with gray text offering suggestions for the next line of code in your editor, it's time to change your perspective. The new capabilities offered through the GitHub Copilot SDK and agent integration mean that the development environment is transforming into an operating system for AI assistants. It's no longer just about AI "knowing what you want to write," but "knowing what needs to be done."

What is GitHub Copilot SDK and how does it work?

GitHub Copilot SDK (Software Development Kit) is not just another update. It is a set of tools that enables developers to integrate Copilot's capabilities directly into their own applications and workflows. Instead of relying on what the standard VS Code extension offers, you can use the SDK to build your own AI agents

These agents can leverage various large language models (LLMs), such as Claude by Anthropic or models from OpenAI. Thanks to integration via the MCP (Model Context Protocol), these agents can communicate with your local files, terminal, and cloud services. This means you can create a tool that not only suggests a bug fix but runs it in the terminal itself, tests it, and if it fails, adjusts the code until the tests pass.

For practical understanding: Think of it as the difference between a calculator (which helps you with a calculation) and a personal assistant (who plans an entire trip and makes reservations for you).

Agent workflow: The new standard in programming

Today's trend we're seeing with tools like GitHub Copilot is the shift from "Copilot" (co-pilot) to "Agent." Within the VS Code development environment, you can now use the so-called Agent Mode. This mode allows AI not only to suggest changes but to actively browse your entire project, understand relationships between files, and perform complex refactoring.

An important element here is the ability to delegate tasks. Instead of solving every little thing yourself, you can give the agent a task: "Add OAuth authentication to this project and update all API endpoints according to the new schema." The agent then plans the steps, creates plans, and executes them in the background.

Comparison with competitors: Copilot vs. Cursor vs. Replit

GitHub is not the only player on the market today. We need to look at its biggest rivals to see where Copilot stands:

• Cursor: Currently a very popular AI editor built directly on VS Code. Cursor is often considered more "agentic" when it comes to deep integration with the entire project context. However, GitHub is trying to catch up with the technological depth of its SDK and agent ecosystem.
• Replit Agent: Focuses on extreme simplicity and speed — from idea to cloud deployment. While Replit is great for prototyping, GitHub Copilot SDK targets professional enterprise environments where control over code and security is important.
• Standard LLMs (ChatGPT/Claude): These models are excellent at logic but lack the "context" of your project. Copilot has the advantage of "seeing" your code, your documentation, and your previous commits.

Practical impact for the Czech market and European regulation

For Czech software companies and individuals, this brings two main messages: increased efficiency and new responsibilities.

Availability and language: GitHub Copilot is fully available for the Czech market. Although communication with AI (prompting) is still best done in English, models like Claude 3.5 Sonnet or GPT-4o, which Copilot uses, handle Czech at a very high level. This allows Czech developers to write comments and documentation in Czech, which is crucial for local teams.

EU AI Act and security: For companies operating in the EU, the question of data privacy is fundamental. GitHub offers guarantees for corporate clients (Copilot Business/Enterprise) that your code will not be used to train public models. In the context of the strict European EU AI Act regulation, this is critical. Developers must be aware that even when an agent works autonomously, the final responsibility for the code (and its security compliance with legislation) rests with the human.

Pricing: How much will it cost you?

Knowing the costs is crucial for implementation decisions. Prices are listed in USD, which is standard for these services (converted to CZK):

• Copilot Individual: $10/month (approx. 235 CZK). Ideal for individuals and students.
• Copilot Business: $19/user/month (approx. 450 CZK). Includes advanced management and security features for teams.
• Copilot Enterprise: $39/user/month (approx. 920 CZK). The highest tier with the ability to index your company's own repositories for better AI context.

Given that Copilot can accelerate development by tens of percent, the return on investment in the range of hundreds of crowns per month is extremely high for most companies.

Conclusion

GitHub Copilot SDK is not just a tool for writing code; it is a cornerstone for building a new generation of software, where humans act as architects and AI as the executive force. For Czech developers and companies alike, it's an opportunity for massive work acceleration, if they can effectively master these new agent systems.