APIs Are the Nervous System of Agentic AI - Designing Agent-Ready APIs for Aut…
summary
Shows a production incident where an AI coding agent deleted a production database in about 9 seconds leaving the newest recoverable data three months old, then demonstrates a gateway/adapter that normalizes GitHub API responses and enforces policies so retries don’t create duplicates. Presents five concrete API rules—semantic error contracts, idempotency by default, stateless composability, structured output schema, and agent-aware rate limiting—and a four-question readiness checklist (error clarity, minimal authorization, explicit request state, end-to-end observability). The demo proves the adapter prevents duplicate issues and returns actionable error signals.
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chapters (18)
- 0:00Introduction
- 1:12APIs as nervous system of Agent AI
- 2:57Autonomous agents and APIs
- 4:42API call failure patterns
- 6:27Designing APIs for autonomy
- 7:11Five principles for agent-ready APIs
- 8:14Semantic error contracts
- 8:34Idempotency by default
- 9:39Stateless composability
- 10:42Structured output schema
- 11:46Agent-aware rate limiting
- 13:12Retrofitting legacy APIs
- 14:15Live demo: agent-ready APIs
- 18:19Demo: idempotency handling
- 21:09Four API readiness questions
- 22:36From execution to autonomous decisions
- 23:17Final thoughts and call to action
- 23:40Q&A
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