Shifting From Prompt-First to Context-First: Where and How Context Engineering Must Impact Your AI Connectivity Strategy
Build a context-first connectivity platform for scalable AI and APIs.
AI is moving from prompt-first to context-first—and your API platform needs to keep up. Register to learn how to future-proof your API and AI connectivity strategy with practical guidance from industry experts.
AI is moving from prompt-first to context-first—and your API platform needs to keep up. Register to learn how to future-proof your API and AI connectivity strategy with practical guidance from industry experts.
As AI and ML workloads accelerate, organizations are shifting from prompt-first experimentation to context-first systems grounded in the right data, APIs, and policies. This webinar explores how AI, edge computing, and platform engineering are converging to redefine API management—and why context engineering is becoming a core responsibility of your connectivity platform, not just your AI team. You’ll hear market insights and lessons learned from Fortune 500 transformations, plus a pragmatic framework for designing resilient API and AI connectivity architectures. We’ll also share how Kong is innovating with distributed API and AI gateway capabilities to support real-time inference at the edge and self-service developer platforms.
What you’ll learn:
- How context-first AI changes requirements for API and AI connectivity architecture
- What “context engineering” means in practice—and how to operationalize it with policies and governance
- Key emerging trends (LLM gateways, vector-aware routing, edge inference) and how to assess them for your roadmap
- How to design a scalable platform approach that supports developer self-service and consistent controls
- A practical framework to future-proof your API and AI strategy amid evolving data and regulatory demands
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