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speedscale

How to Mock OpenAI's APIs with Speedscale's ProxyMock

Mar 25, 2025 By Matthew LeRay In Speedscale
Developing APIs can often be a complex web of dependencies, external dependencies, and murky network traffic. In order to build better, developers need a certain amount of stability to test a query or feature against, and when this stability is lacking, development can get more complicated and difficult. Enter API mocking. API mocking is an approach to generating a mock service that provides dependable data for a variety of testing purposes.
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Automating API Mocks in Your CI Pipeline with proxymock

Mar 25, 2025 By Ken Ahrens In Speedscale
When running tests in a CI/CD pipeline, relying on external APIs can introduce instability, slow down execution, and even lead to failed builds due to rate limits or API downtime. Fortunately proxymock provides a solution by capturing API interactions and running a local mock server, enabling fully isolated and repeatable tests. In this blog, we’ll demonstrate how to integrate proxymock into a GitHub Actions CI pipeline using a demo app called outerspace-go.
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Service Mocks #speedscale #service #mocks #software

Mar 18, 2025 By Speedscale In Speedscale
Ken Ahrens from Speedscale break down the challenges with service mocks — from the complexity of building them to common misunderstandings about their purpose. Many think of mocks like unit test stubs, but service mocks are much more powerful. They can simulate production conditions right on your laptop, making testing more realistic and reliable.
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AI Integration #speedscale #ai #integration #mcp #march

Mar 18, 2025 By Speedscale In Speedscale
Ken Ahrens from Speescale dives into the best AI API integration model of March 2025 — Anthropic's MCP model. This innovative integration enables seamless communication with browsers and various tools, including the popular Cursor. Discover how the MCP model is revolutionizing AI-powered workflows and boosting productivity.
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What Are Cloud Development Environments?

Mar 17, 2025 By Josh Thornton In Speedscale
Especially, if you have a globally distributed team, CDEs give you a smoother developer experience just by its online nature. Instead of wrestling with conflicting dependencies, trudging with inconsistent local setups, or waiting for your code to compile, you have a powerful, instantly accessible development environment in the cloud. CDEs remove typical limitations like hardware and scalability. You can quickly get started with minimal setup and configuration, but confidently move forward due to the flexibility and customization features CDEs provide.
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Modernize Test Data Management with Traffic Replay

Mar 12, 2025 By Matthew LeRay In Speedscale
In software testing or platform engineering, having realistic data is crucial. For years, teams have relied on Test Data Management (TDM) to copy entire production databases, scrub any sensitive information, and then spin up test environments from these sanitized data sets. While TDM gets the job done, it can be costly, time-consuming, and can quickly become outdated.
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How to Mock AI APIs Using proxymock

Mar 11, 2025 By Kristopher Sandoval In Speedscale
APIs often represent the cutting edge of the technology space. This is especially true with Artificial Intelligence – as AI has evolved from speculative technology to mass adoption, it has shown up significantly in APIs as a modality and mechanism. However, as with all new technologies, using AI APIs comes with significant challenges.
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