Agentic AI systems are transforming how developers approach the Software Development Lifecycle, enabling a shift from "coder of every line" to "architect of outcomes." These autonomous agents understand context, reason about complex problems, and execute multi-step workflows across the entire SDLC. We will demonstrate how agentic AI tools accelerate open source development while maintaining code quality and security.

The session will include:

• Overview of agentic AI capabilities: multi-file refactoring, legacy modernization, security-first development, and knowledge transfer.
• Architectural patterns for AI integration: Model Context Protocol (MCP) for connecting to external systems and Agent Skills for domain-specific guidance.
• Demonstrations of context management, spec-driven development, MCP-based integrations, and agent skill implementation.
• Best practices for balancing automation with human oversight in open source projects.

Attendees will leave with practical understanding of how to leverage agentic AI to accelerate development, while simultaneously maintaining control using intent-based specifications in their open source projects.

Target Audience

Open source maintainers, software architects, DevOps engineers, and developers interested in AI-assisted development