4 Tips for Developing Model Context Protocol Server
The Model Context Protocol (MCP) is rapidly becoming the connective tissue for agentic AI systems and IDE tooling. Whether you're building a dev tool that...
Speedscale Blog
Latest insights on API testing, performance optimization, and software development best practices from the Speedscale team.
Using Proxymock with GCP Services
Google Cloud Platform, or GCP, is a cloud resources collection offered by Google for enterprise and standard users. GCP offers a wide range of cloud services...
Using Proxymock with AWS Services
Amazon Web Services, or AWS, offers a variety of cloud services ranging from AWS resources such as CDNs and data lakes to cloud computing and transformation...
How to Mock OpenAI's APIs with Speedscale's ProxyMock
Developing APIs can often be a complex web of dependencies, external dependencies, and murky network traffic. In order to build better...
Testing LLM backends for performance Guide
While incredibly powerful, one of the challenges when building an LLM application (large language model) is dealing with performance implications.
Six Lessons from Production gRPC
In the half-decade since gRPC became part of our production ecosystem, we’ve encountered a range of challenges and discovered a few hidden pitfalls that can...
Modernize Test Data Management with Traffic Replay
In software testing or platform engineering, having realistic data is crucial. For years, teams have relied on Test Data Management (TDM) to copy entire...
How to Mock AI APIs Using Proxymock
Master AI API mocking with Proxymock. Learn essential strategies for testing AI applications, reducing costs, and building reliable AI integrations.
What Is Shadow Traffic? All You Need to Know
Production traffic can often be unpredictable, and distinguishing genuine user interactions from mere noise becomes a pivotal step in comprehensively grasping...