Matthew LeRay is a contributor to the Speedscale blog. • 8 posts published
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.
The Model Context Protocol (MCP) is rapidly becoming the connective tissue for agentic AI systems and IDE tooling. Whether you're building a dev tool that...
As Large Language Models (LLMs) become increasingly integrated into enterprise applications, organizations face new challenges around compliance, governance...
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