Systems | Development | Analytics | API | Testing

Better integration tests in Cursor using proxymock

Cursor is fantastic at cranking out code changes. I recently used it to splice a brand-new downstream API call into one of our Go microservices, and the diff looked great. The unit tests finished before I lifted my coffee mug, yet I still had zero certainty the change would survive contact with real traffic. That gap is all about integration tests, so I paired Cursor with proxymock and the outerspace-go demo service to prove the behavior end to end.

Ep 49 | Designing an "AI-Anywhere" Culture with Teddra Burgess

AI is transforming not only the way we work, but what we value as work. Success in this new era won’t come from chasing efficiency alone, but from cultivating cultures where AI empowers people, strengthens purpose, and drives innovation with trust at the center. In this episode of The AI Forecast, Teddra Burgess, founder of Chasing Outcomes, joins host Paul Muller to explore how AI is reshaping not just work, but what we value about work. Teddra lays out a practical path to building an “AI-anywhere” culture: start with outcomes (not tools), empower every function (not just IT), and lead with trust, purpose, and adaptability.

AI wrote the code, but can you trust it? #aicoding #integration #cursor #devops #speedscale

Using AI coding tools like Cursor is fast, but it leaves a massive question: Is the new code going to break production? We solve this by combining Cursor with Proxymock! I take a live traffic snapshot of my running app, feed it back to the AI, and instantly run realistic integration tests locally. It's the only way to get true confidence before you push. Watch the full video below!

Koyeb Sandboxes: Fast, Scalable, Fully Isolated Environments for AI Agents and More

At Koyeb, we provide high-performance serverless infrastructure for intensive applications across CPUs, GPUs, and accelerators. We take code, build it, and run it in fully isolated, secure microVMs on bare-metal servers around the world. We scale automatically when needed, down to zero when idle, with cold starts as low as 250ms. Over the past few months, we’ve been working with an increasing number of teams using Koyeb to orchestrate and run AI-generated code at massive scale.