APIs and AI are no longer separate domains—they’re co‑evolving in a symbiotic relationship that accelerates innovation on both sides. This session uncovers how AI enhances API design, documentation, and developer workflows, while APIs extend AI’s reach into real‑world data, actions, and operational systems.

AI‑Powered APIs:
Developers face rising complexity in discovering, understanding, and implementing APIs. AI can transform this experience by powering intent‑based search and summarization in API documentation, suggesting improvements to OpenAPI schemas (from descriptions and examples to issue detection and guideline‑compliant fixes), and generating production‑ready integration code via natural language prompts in environments like VSCode Copilot.

API‑Enabled AI:
AI systems often struggle to access live, domain‑specific data or act autonomously beyond static model outputs. By exposing data and services through APIs—standardized and secured via protocols like MCP—AI can tap into real‑time sources, enrich its context, and execute complex, multi‑step workflows. MCP‑powered platforms (e.g., Cursor, VSCode Copilot) are already demonstrating how AI agents can both recommend and perform tasks seamlessly.

Key Takeaways & Learnings:
Drawing on our hands‑on experience building and experimenting with these patterns, I’ll share practical insights on overcoming technical hurdles, selecting the right tools and architectures, and designing systems where AI and APIs drive each other’s evolution. You’ll leave equipped with actionable patterns to boost developer productivity, deliver smarter APIs, and build AI‑powered applications that truly act on the world.