In 2025’s developer landscape, AI-assisted coding has evolved from an experimental feature into a fundamental part of the toolchain. Among the most intriguing ecosystems, the combination of OpenAI Codex CLI and Chrome DevTools MCP (Model Control Protocol) is redefining how we collaborate with AI during software development. But let’s be honest — every futuristic tool eventually hits that one frustrating error message: “MCP client for chrome-devtools failed to start: program not found.” If you’ve seen this line flash across your terminal, you’re in good company. In this article, we’ll dive into what’s really happening under the hood, how to fix …
Introduction: Solving the “Blind Coding” Problem for AI Assistants The evolution of AI coding assistants has reached a critical juncture. While these intelligent systems can generate sophisticated code with remarkable accuracy, they’ve historically operated in a vacuum—unable to see how their creations actually perform in real browser environments. This “blind coding” problem has been a significant limitation, until now. The Chrome DevTools team has introduced a groundbreaking solution: Chrome DevTools MCP (Model Context Protocol). This innovative service enables AI coding agents to directly control and debug Chrome browsers, transforming how AI systems interact with web environments. By integrating Chrome DevTools …