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“The Agentic Shift” represents a transformative leap where developers move from reactive to proactive roles, empowered by AI-native platforms that embed security, automation, and intelligence into every layer of the software lifecycle. Think of this as the prelude to an Agent2Agent future.

This roundtable explores how AI-driven development environments like GitHub Enterprise are revolutionizing DevSecOps by enabling continuous compliance, self-healing systems, and adaptive security – all while accelerating delivery and reducing human toil.

Key Discussion Points

The Agentic Developer: Rise of Autonomous Engineering
• What does “agentic” mean in the context of software development?
• How AI is shifting the developer’s role from manual executor to decision-maker and orchestrator.
• Use cases of autonomous code suggestions, issue resolution, and deployment workflows
AI-Native Developer Platforms: Beyond Traditional Toolchains
• Characteristics of an AI-native developer platform vs. AI-augmented tools.
• Integrating GenAI, LLMs, and agent-based systems in development workflows.
• Examples: GitHub Copilot and GitHub Coding Agent
Governance, Risk & Ethics in AI-Native Development
• Managing ethical AI usage in DevSecOps: bias, hallucinations, and responsibility.
• Regulatory and compliance implications: how AI-native platforms assist or complicate adherence.
• Human-in-the-loop: when and where to override AI decisions?