Better integration tests in Cursor using proxymock

Cursor can rapidly generate code changes and unit tests, but it does not by itself establish that new downstream integrations will work reliably under real traffic. The workflow described combines Cursor with proxymock and the Go-based outerspace-go service to capture snapshots of live inbound and outbound traffic, replay those interactions locally, and validate both new and existing API behavior without rebuilding a full staging environment. Using Cursor’s MCP integration, proxymock downloads a production-derived snapshot, starts a mock server for external dependencies, runs the application, and replays recorded requests, including verification of a new `/api/launches-summary` endpoint. This approach provides realistic payloads, deterministic repeatability, regression coverage for legacy endpoints, and observation diffs that can reveal changes in responses, headers, logging, or metrics. The central argument is that pairing AI-assisted coding with traffic-based integration testing shortens validation cycles while reducing the risk that apparently correct code will fail in production.

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