This blog post dissects the network traffic of the AI-native code editor Cursor, revealing its API calls to various services for AI assistance, telemetry, and synchronization, and offers insights into data privacy implications.
From observability expert to testing advocate: A candid look at why traditional testing falls short and how to make testing more effective and enjoyable.
Reduce AI testing costs with Claude and MCP mocking. Learn cost-effective strategies for testing AI applications using Model Context Protocol and mocking.
Optimize Google Cloud Platform testing with Proxymock. Learn to mock GCP APIs, reduce cloud costs, and streamline development with service mocking.
Streamline AWS service testing with Proxymock. Learn to mock AWS APIs, reduce cloud costs, and improve development workflows with service mocking.