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.
Discover how deterministic feedback from real API traffic speeds up AI coding assistants and reduces developer interruptions.
API linting only tests hypotheticals. Learn why real API testing requires production-quality data and reality-based testing strategies.
Strengthen Zero Trust security with automated API testing. Validate access controls, prevent data exposure, and eliminate security gaps.
Transform API governance into a competitive advantage with traffic snapshots. Enable continuous policy validation and automated governance at scale.
Expose API security misconfigurations costing enterprises millions. Learn how default settings and weak controls create attack vectors.
Explore enterprise vibe coding with AI-powered development. Learn how to modernize legacy systems using large language models and generative AI.
Master RAG architecture with this comprehensive guide. Build resilient AI services using vector databases, embeddings, and retrieval-augmented generation.
Discover 5 essential tips for mocking complex agent-to-model interactions. Learn practical strategies for testing autonomous AI systems and API mocking.
Transform unpredictable external dependencies into business value. Learn how AI-powered mocking reduces costs and improves application resilience.
Master multi-model AI routing with effective mocking strategies. Learn to test Claude, Gemini, and GPT-4 integrations with confidence and reliability.
Discover how AI revolutionizes software development. Learn about code generation, automated testing, and new risks in AI-driven development.
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.
End flaky test frustrations with traffic replay technology. Learn how to create deterministic, stable, and fast tests that boost developer productivity.
Learn to mock OpenAI APIs effectively with Speedscale's Proxymock. Master AI API testing strategies and best practices for stable development workflows.