The PII Testing Dilemma
Software is hard to test when production data contains PII and AI systems are causing an explosion in bugs.
Posts by Matthew LeRay
Matthew LeRay is a contributor to the Speedscale blog. • 9 posts published
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.
Part 2: Building a Production-Grade Traffic Capture, Transform and Replay System
Learn how to build a traffic analysis tool for network traffic transformation. Complete guide covering traffic analysis techniques, parsing.
Mitmproxy vs Proxymock: Replaying Traffic for Realistic API Testing
A pragmatic comparison of mitmproxy and proxymock for traffic replay. Learn which tool to use for investigative debugging vs developer productivity, how.
Unlocking AI Coding Reliability with Traffic Replay
Discover why AI coding agents need traffic replay to bridge the gap between stochastic AI and deterministic software engineering.
Speeding up AI Coding Assistants using Deterministic Feedback
Every engineering leader has seen it: a senior developer is “in the zone”…then Slack pings, CI fails, or an AI suggestion derails everything.
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