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.
Posts by Matt LeRay
Co-founder and CTO of Speedscale, expert in Agentic AI and cloud data warehousing. • 9 posts published
API Testing Tools Best Practices Guide
Choose API testing tools for exploration, CI regression, and dependency isolation. Compare assertions, protocols, workflows, and migration requirements.
Application Level Dependency Chaos Testing
A scoped chaos rule takes one dependency down and nothing else, so the fallback branch in your code executes on demand instead of during an outage.
Auto-generate Postman Collections from traffic
Export recorded HTTP requests to Postman collections. Add assertions, test credentials, and variables, then review updates before running in CI.
The API tests passed. The database didn't.
Compare recorded SQL between releases with proxymock. Find query-count drift, new statements, captured DDL, and timing changes that HTTP tests can miss.
Diagnose Serial N+1 API Calls With Tempo + proxymock
Diagnose serial N+1 API calls with Tempo and proxymock. Replay recorded traffic, inspect trace windows, and prove a concurrency fix preserves behavior.
Did It Actually Send?
Part 4 of Getting Started with Mocks: the notifier stops returning a message and starts sending one, so the test needs a spy instead of a return value.
Explain Non-CPU Latency With Prometheus + proxymock
Diagnose a p95 latency regression that CPU profiling cannot explain using Prometheus histograms, then prove the fix with identical proxymock replays.
Test and Mock GraphQL APIs Without Trusting the 200
Generate GraphQL tests and mocks from a schema with proxymock, catch failures hidden inside HTTP 200 responses, and flag schema changes before clients break.
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