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Live webinarAPI DesignBackendStreaming
API design for AI-first backends
Your old REST instincts break against AI traffic. Here is what replaces them.
Param Harrison
Cofounder, AEOsome.com · Chief Mentor, learnwithparam.com
60 minutes · intermediate
About this session
Why this one matters
AI traffic breaks the API design assumptions we grew up with. Responses are slow, streamed, non-deterministic, and sometimes wrong. This session rebuilds API design for AI-first backends: streaming endpoints that feel fast, idempotency for retries on flaky models, rate limits that track cost instead of requests, and versioning that survives prompt changes.
Who should watch
- Backend engineers wrapping an LLM behind a public API
- Platform engineers building the AI gateway for other teams
- Teams whose first AI endpoint melted under real production traffic
Topics we'll cover
What's on the menu
- Streaming endpoints that feel fast to users and calm to your servers
- Idempotency keys for retries against flaky models
- Rate limits that track cost and tokens, not raw request counts
- Versioning APIs that wrap prompts you will keep tuning
- Error shapes that describe model failures honestly
What you'll walk away with
Leave with a blueprint
- Design streaming endpoints without the usual SSE footguns
- Make AI-backed requests safely retryable
- Bill and rate-limit by cost signals instead of blind request counts
- Version APIs that wrap evolving prompts without breaking clients
- Return errors clients can actually act on