AI agents are quickly becoming a core part of modern development workflows, and the GitHub Copilot SDK makes it surprisingly straightforward to build your own. Instead of relying on prompt engineering alone, the SDK lets you define structured tools, give your agent explicit capabilities, and execute real code through LLM‑driven reasoning.
In my latest demo, I walk through the full process of creating an agent from scratch — setting up the project, defining the agent, building custom tools, and running everything locally. You’ll see how the SDK handles tool invocation, schema validation, and natural‑language responses, all while keeping your logic deterministic and maintainable.
If you're exploring agentic workflows or want to understand how Copilot can power real execution paths, this walkthrough will give you a clear, practical starting point.
🎥 Watch the full step‑by‑step video here:
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This is just the beginning — once you understand the pattern, you can extend your agent with APIs, automation tasks, file processors, and domain‑specific logic. The SDK scales cleanly, and the development experience feels natural for anyone comfortable with TypeScript.
If you try building your own tools or agents, I’d love to hear what you create next.
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