In 2026, AI agents and multi-agent systems are automating 30–60% of the SDLC, delivering 10–35% velocity gains—but only if governed properly. Shadow agents, context pollution, IP leaks, and compliance gaps can derail adoption.
This hands-on talk shares practical enterprise patterns to capture AI's upside while enforcing security and governance:

- Agent Package Manager (APM): Microsoft's open-source dependency manager for primitives (instructions, skills, prompts, agents, MCP servers). We refactored a production mono-repo (118+ customizations across 15+ tech domains) using thin routing instructions + on-demand skills + generic agents → 63% less always-on context noise, 60.6% efficiency, zero duplication.
- Enterprise RAG Blueprint: Multimodal, permissioned knowledge grounding to eliminate hallucinations.
- Secure Hosted Execution: Private VPC/Zero Trust compute + networking for Copilot/agents.

Tied together by the full GitHub platform (Copilot Enterprise, Actions + Agentic Workflows preview, Advanced Security, Code Quality, MCP policies).
Audience will leave with three key takeaways: standardize primitives with APM, leverage GitHub's end-to-end stack, and pilot governance for a smooth AI-native dev experience. Interactive pulse questions included to engage engineers, managers, and directors alike.

Preferred duration: 60 minutes (20 min talk + 30 minutes demo + 10 min Q&A)
Target audience: Mixed – Engineers (technical depth on primitives/APM/RAG), Management/Directors (business impact, risk reduction, velocity gains)
Technical level: Intermediate to advanced (assumes familiarity with GitHub Copilot/Agents; no live demo required)
Technical requirements: Standard presentation setup. Internet access.