Matthew LeRay is a contributor to the Speedscale blog. • 9 posts published
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. But this blog aims to help answer what API calls are going on under the hood and what data is being sent.
Learn how to build a traffic analysis tool for network traffic transformation. Complete guide covering traffic analysis techniques, parsing, and building recommendations.
A pragmatic comparison of mitmproxy and proxymock for traffic replay. Learn which tool to use for investigative debugging vs developer productivity, how they handle mocking, and when each approach shines for realistic API testing.
Discover why AI coding agents need traffic replay to bridge the gap between stochastic AI and deterministic software engineering. Learn how proxymock enables AI agents to test against real production traffic for more cheaper and reliable sotware.
Every engineering leader has seen it: a senior developer is “in the zone”…then Slack pings, CI fails, or an AI suggestion derails everything.
The near-ubiquity of LLM systems in 2025 has changed the game in many ways. While Large Language Models have been around for some time...
A few short years ago, the idea of using a Large Language Model was relegated to some specific models and implementations for a given industry or use case.
Large Language Models (LLMs) are incredibly powerful, but they are also incredibly fragile. Using LLMs in a production environment requires a lot of things to...
As a software engineer, I’ve always leaned on a solid foundation of code reviews, unit tests, and CI pipelines to ensure quality. But AI has changed the game.
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