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Important Note: This conference is hosted by our partner, apidays. They have graciously provided 100 free tickets (value of $1,000/each) exclusively for AICamp members.
Visit the event website to claim your free ticket (first come, first serve) use the code: AICAMPVIP

FOST Toronto 2026 brings together API, AI, and platform engineering leaders to explore the next evolution of the API economy: APIs built for AI agents.
For a decade, we built APIs for humans to consume, then for mobile applications. Today, a new class of consumer is emerging—the AI agent. Unlike developers, agents don’t browse developer portals; they discover, interpret, and interact with APIs autonomously.

apidays Toronto 2026 explores what it takes to make APIs Agent-Ready and how organizations can prepare for a new machine-to-machine economy, covering API Strategy in the AI Era, APIs for AI Agents, AI-Ready APIs, Agent Experience, MCP, Agentic Workflows, API Governance & Gateways, API Security & Resiliency, Agent Tooling, and more.

On the Schedule
(Detailed schedule coming soon)
From hands-on workshops to real-world case studies, explore the full agenda, featuring a wide range of topics, including API monetization, security, AI-driven automation, and emerging technology trends.

Featured Speakers:

  • Jason Chomik, Director at Financial Data Exchange
  • Kin Lane, Founder at API Evangelist
  • Ruchika Suryawanshi, SDE at JPMorganChase
  • Mansi Mittal, Senior Software Engineer at Booking.com
  • Indranil Sinha, PhD, Founder & Head of QA at Marginalen Bank
  • Arunkumar Amaran, Technology Manager / Leader at Macys
  • Yuri Shelke, Distinguished Engineer at Capital One
  • Krishna Reddy Munnangi, Senior Software Engineer at WALMART INC.
  • Mark Boyd, Director at Platformable
  • Rahul De, Lead Site Reliability Engineer at Citibank
  • Hugo Guerrero, Developer Advocate at Kong
  • Pooja Mistry, Senior Developer Advocate at Postman
  • and 50+ more

Conference Details
Visit the event website for full details.

Related topics

Artificial Intelligence
Machine Learning
Natural Language Processing
Data Engineering
Data Science

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