AI assisted development has evolved far beyond code completion. In 2026, it is no longer just a pair programmer - it is an AI teammate embedded across the entire software development lifecycle.
In this session, we’ll explore how modern developers and teams can embrace the Agentic SDLC, where humans and AI agents collaborate to plan, build, test, review, modernize, and deploy software. Using real‑world demos, we’ll look at how GitHub Copilot integrates seamlessly across VS Code, GitHub.com, terminals, and cloud workflows to support both synchronous and asynchronous development.
We’ll cover:

The evolution of GitHub Copilot from autocomplete to agentic workflows
Using Agent Mode in VS Code for complex, multi‑file tasks
Delegating background work using the GitHub Copilot Coding Agent
Leveraging MCP (Model Context Protocol) servers and custom instructions to provide richer context to AI agents
Practical workflows for code review, testing, and app modernization
How hybrid teams (developers + agents) are reshaping day‑to‑day engineering

This session is demo‑driven, practical, and opinionated, focusing on how GitHub Copilot is used in real development environments- not theory or future promises.
Whether you’re new to GitHub Copilot or already using it daily, you’ll leave with a clear mental model for AI‑native engineering and concrete ideas to apply agentic workflows in your own projects.