Beyond REST: Why AI Needs a New API Abstraction Layer
APIs Were Built for Apps. It's Time to Build Them for AI.
Live on September 22, 2026 | 12:00 - 13:00
Days
Hours
Minutes
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🇬🇧 English
Build APIs for Autonomous AI
REST APIs were built for applications, not autonomous AI agents. As AI systems increasingly act on behalf of users, they need more than endpoints: they need context, capabilities, constraints, and information about potential side effects. This Fullstack Live Event explores why traditional API abstractions are reaching their limits and how Capability Layers can make APIs more discoverable, understandable, and safer for AI.
From Endpoints to Capabilities
AI agents need to understand not only how to call an API, but also what a capability does, when it should be used, and what consequences an action may have. In this session, you’ll explore where conventional REST designs fall short and how a Capability Layer can provide the missing abstraction. Through practical examples, you’ll discover how capability driven APIs improve AI orchestration, interoperability, and safe tool usage, and what you can do today to prepare your APIs for the next generation of intelligent applications.
Expert Knowledge for
API Developers, who want to make APIs more discoverable and usable by AI agents
Software Architects, who want to design scalable API abstractions for autonomous systems
AI Engineers, who want to improve agent orchestration and tool integration
- Backend Developers, who want to prepare existing APIs for AI driven applications
Join us and learn how to...
understand why REST APIs alone are insufficient for autonomous AI
identify the limitations of endpoint based API design
design Capability Layers that provide AI with meaningful context
improve orchestration and interoperability between AI agents and APIs
- make APIs safer and more understandable for autonomous systems
Get to know our expert
Anayo Oleru - Civeex
Anayo Samson Oleru is a seasoned software engineer, trainer, and solution architect with extensive experience in server side, web, mobile, Big Data, databases, and security. Today, he focuses on Node.js, software architecture, and product management, while sharing his expertise through training and mentorship.
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