How AI Coding Is Breaking Synthetic Data Generation
AI codingagents are accelerating the breakdown of synthetic data generation approaches.
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
Today’s software testing trends show the growing demand for more efficient and automated API testing.
Using Python MockServer for API Testing
Using a mock server is a popular method of working around these limitations and realities, you to test web server assets against specific requests...
Refactor Safely with AI: Using MCP and Traffic Replay to Validate Code Changes
Use traffic replay via MCP to create a tight feedback loop for AI coding agents, preventing hallucinated success by validating against immutable.
The PII Testing Dilemma
Software is hard to test when production data contains PII and AI systems are causing an explosion in bugs.
Moving Our Observability Data Collector from Sidecars to eBPF
Speedscale transitions from Kubernetes sidecar-based observability collection to eBPF for lower latency, reduced resource consumption.
Let Your LLM Debug Using Production Recordings
Connect an MCP server to your LLM coding assistant so it can pull real production data on demand, validate its assumptions.
How to Do Full-Text Search Across All Application Traffic with Speedscale
This how-to video shows how to use Speedscale's full-text traffic search to instantly find where a specific piece of data appears as it flows through your.
Peeking Under the Hood with Claude Code
Claude is one of the go-to AI-native code editors for developers. It provides a smooth and simple chat-based CLI that is easy to understand.
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