In the rapidly evolving world of AI-powered development, GitHub Copilot is no longer just a code-completion tool. It’s becoming an agentic assistant capable of supporting developers across the entire Software Development Lifecycle (SDLC). From planning and design to coding, testing, and deployment, Copilot’s emerging multi-step reasoning and orchestration capabilities promise to transform how teams build software.
This session will explore how Copilot’s agentic features can automate repetitive tasks, suggest workflows, and collaborate intelligently with developers to accelerate delivery without sacrificing quality. We’ll also address the limitations and risks of agentic AI in development, including dependency pitfalls and governance challenges, and share strategies to mitigate them.

Through real-world examples and hands-on demos, you’ll learn how to:

- Use Copilot for more than code generation—think documentation, test creation, and CI/CD integration.
- Leverage agentic orchestration to streamline multi-step tasks across the SDLC.
- Identify common pitfalls of agent-driven automation and apply best practices to maintain control and compliance.
- Incorporate Copilot into your workflow effectively, ensuring it complements your expertise rather than replacing it.

Key Takeaways:

- Discover how GitHub Copilot’s agentic capabilities extend beyond coding to impact the full SDLC.
- Understand the risks and governance considerations of agentic AI in enterprise development.
- Learn practical strategies for integrating Copilot into planning, testing, and deployment workflows.
- Gain hands-on experience through demos showcasing GitHub Copilot’s orchestration power.

This session is designed for developers, architects, and technical leads eager to harness the next wave of AI-driven development while maintaining agility, security, and quality.