In coding, an orchestrator agent coordinates specialized sub-agents: one for code generation, one for testing, one for security review, one for documentation — each with dedicated context windows, working in parallel. This mirrors the move from monolithic systems to distributed intelligence.
The Engineering Challenges
Inter-agent communication protocols, state management across agent boundaries, and conflict-resolution mechanisms are fundamentally distributed-systems problems — but with AI agents rather than microservices.
Emerging Standards
Anthropic’s MCP (Model Context Protocol) and Google’s A2A protocol are establishing the HTTP-equivalent standards for agent interoperability. This standardization unlocks the broader market: once agents can reliably coordinate, every complex enterprise workflow becomes addressable.
Market Trajectory
Gartner predicts: 40% of enterprise applications will embed task-specific AI agents by end of 2026, up from under 5% in 2025 — an 8x jump
By 2027: One-third of agentic implementations will combine agents with different skills across application boundaries
Already in production: Salesforce Agentforce, Rohirrim procurement workflows, supply chain management systems
Gennaro is the creator of FourWeekMBA, which reached about four million business people, comprising C-level executives, investors, analysts, product managers, and aspiring digital entrepreneurs in 2022 alone | He is also Director of Sales for a high-tech scaleup in the AI Industry | In 2012, Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy.
