APIs for AI & Agentic Systems
Designing APIs for the age of autonomous intelligence
As AI assistants, agents, and autonomous workflows become active consumers of APIs, new requirements emerge for API design, discoverability, governance, and security. This track explores how to build AI-ready APIs, enable agent-to-system interactions, support tool calling and orchestration, and create reliable, governed integrations for AI-powered applications and agentic systems. Topics include AI-friendly API design, semantic interfaces, MCP, agent frameworks, automation, and real-world experiences with AI-driven architectures.
APIs for AI & Agentic Systems
Learn from Industry Leaders about:
- Understand how AI agents fundamentally change API consumption from design-time integration to runtime interaction
- Learn how to design AI-ready APIs that are discoverable, predictable, and machine-interpretable
- Explore patterns for enabling tool calling, orchestration, and agent-to-API interaction
- Identify common failure modes when AI agents interact with real-world APIs (semantics, discovery, composition, errors)
- Learn how to improve API semantics using structured, machine-readable descriptions (e.g., OpenAPI extensions)
- Understand how governance and security models must evolve for autonomous API consumers
- Gain practical approaches to enabling safe, controlled execution of agent-driven workflows
- Explore architectures for integrating APIs into agent frameworks and AI platforms
- Learn how to incrementally adapt existing API landscapes for AI consumption without full redesign
Track Speakers London 2026
Track Speakers New York 2026
Track Speakers Berlin 2026
Global Track Program
Track Program London 2026
Track Program New York 2026
Track Program Berlin 2026
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Stay ahead in APIs & Microservices – without the doomscrolling.
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Plus: Conference & Camp early birds and discounts