Guest blog in Speedscale.com by Jason English
With Proxymock, realistic traffic, API mocks and AI coding sandboxes are free
What happens when you (and your coding assistant) are confident enough to go to production? You need to run enough tests to validate that the application will work within its target environment, with a high degree of confidence.
That’s exactly what Speedscale does with their enterprise platform: capturing and replaying real production traffic, simulating test data, and generating tests in Kubernetes clusters that can scale to thousands or hundreds of thousands of instances, and shut down just as quickly.
If you are bringing AI coding assistants and agents into your shop, these replayable environments will also be a lot cheaper than telling an LLM to burn millions of tokens testing itself to see if the new software will fall down in production.
Still, that might be overkill when you are just working with a copilot and trying to validate the code changes to see if it “hallucinated” any changes, or decided on its own to change a library in some non-deterministic way. You know, good old smoke and regression testing, to make sure fixing the oven doesn’t blow up the toilet.
For these situations, Speedscale introduced Proxymock, a free tool that you can embed in the CI/CD pipeline or git repo to instantly pop up a single test environment that includes mock API endpoints and request/response data pairs that are either synthetically generated or captured from real traffic…
Read the whole story on the Speedscale blog here: https://speedscale.com/blog/speedscale-proxymock-freely-testing-cloud-native-apps-alongside-ai-code-assistants/
Guest Article by Jason English. Jason is writing this guest article as an advisor to Speedscale. He is a software industry analyst at the firm Intellyx, and former head of marketing for several development and testing software firms.
