AI SDK Engineer
An AI SDK Engineer designs, builds, and maintains software development kits and integration libraries that allow developers to con…
Skill Guide
The practice of designing machine-readable API contracts (OpenAPI Specification), managing their lifecycle through versioning strategies, and automating client/server code generation from these contracts.
Scenario
You need to create the OpenAPI specification for a basic 'To-Do List' API with endpoints for creating, listing, updating, and deleting tasks.
Scenario
An existing API spec (v1) for a 'User Service' needs to be updated to add a new required field `department` to the User schema without breaking existing v1 consumers.
Scenario
You are tasked with creating a standardized, automated pipeline to enforce API design standards and manage the lifecycle of dozens of specs across the engineering organization.
For visual editing, real-time validation, and interactive documentation. Essential for learning and rapid prototyping.
For automating the creation of client SDKs, server stubs, and documentation from a spec file. The core of the 'code generation' skill.
For enforcing API design standards programmatically via configurable rulesets. Critical for maintaining consistency at scale.
Platforms that can consume OpenAPI specs to configure rate limiting, auth, and routing. Understanding this link is key for deployment.
Answer Strategy
The interviewer is testing understanding of versioning strategies, backward compatibility, and operational rollout. Use the **Parallel Deployment** strategy. Sample Answer: 'I would deploy v2 as a completely new set of endpoints (`/v2/...`) running alongside v1. I would use an API gateway to route traffic. I'd provide a migration guide for consumers and run both versions in parallel for a pre-defined sunset period (e.g., 6 months), monitoring v1 traffic, before finally decommissioning it.'
Answer Strategy
This tests problem-solving and knowledge of the code generation ecosystem. The core issue is usually a poorly designed spec, not the generator itself. Sample Answer: 'First, I'd review the spec. Generator output quality is a direct reflection of spec quality. I'd look for overly generic models or missing examples. I would then tune the generator using its configuration file (e.g., `openapi-generator`'s `openapitools.json`) to customize the Go package name and model naming. If needed, we could use vendor extensions or post-generation hooks to modify the output.'
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