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.
Matthew LeRay is a contributor to the Speedscale blog. • 9 posts published
Learn how to build a traffic analysis tool for network traffic transformation. Complete guide covering traffic analysis techniques, parsing.
A pragmatic comparison of mitmproxy and proxymock for traffic replay. Learn which tool to use for investigative debugging vs developer productivity, how.
Discover why AI coding agents need traffic replay to bridge the gap between stochastic AI and deterministic software engineering.
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.
As a software engineer, I’ve always leaned on a solid foundation of code reviews, unit tests, and CI pipelines to ensure quality.
The Model Context Protocol (MCP) is rapidly becoming the connective tissue for agentic AI systems and IDE tooling.
Choose the desktop proxymock or the hosted cloud trial to get started.