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REST API Design for Integrations

The API you hand a customer is the part of the deployment their engineers live with after you leave, so it is judged on how little it surprises them. Resources and verbs are the easy half; versioning, pagination, error shape and idempotency are what decide whether their integration keeps working next quarter.

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RELATED CONCEPTS

Idempotency Rate Limiting Retries, Exponential Backoff and Jitter OAuth 2.0, JWTs and Service Credentials Circuit Breakers and Backpressure

LESSONS THAT TEACH THIS

The FDE EngagementChoose the integration path that meets the workflow and can be operated24 min→Foundations of Forward Deployed EngineeringChoose retries from outcome evidence and a time budget30 min→

PRACTICE THIS IN REAL QUESTIONS

System Design & Production EngineeringExplain how rate limiting works, fixed window, sliding window, token bucket. When does each break?→MLOps & ML EngineeringHow do you ensure reproducibility in ML workflows?→RAG & Agent System DesignA customer wants to expose internal APIs to a model via MCP. Design it safely: auth, least privilege, versioning.→LLM & GenAI FundamentalsHow do you version, test, and roll out prompt changes like code?→Coding & DSABuild a versioned key-value store: put/get, plus get(key, timestamp) for historical reads→LLM & GenAI FundamentalsYour provider is deprecating the model you built on. How do you detect and measure regression before migrating?→