As AI coding agents like Claude Code and Codex become more autonomous, developers face a growing challenge: understanding what these agents are actually doing under the hood. A new open-source tool, ccglass, aims to solve this by intercepting and displaying the real API requests made by these agents. This transparency is crucial for debugging, auditing, and building trust in AI-assisted workflows. The tool works by acting as a proxy, capturing the prompts and responses exchanged between the agent and the underlying AI model. For developers relying on AI for complex tasks, this visibility can prevent costly mistakes and improve the quality of generated code. While still early, ccglass represents a significant step toward making AI coding agents more accountable and understandable.
A new open-source tool called ccglass allows developers to inspect the actual API requests made by AI coding agents like Claude Code and Codex. This addresses a key pain point of opacity in AI-assisted development, enabling better debugging and trust. The tool is timely as AI coding agents become more autonomous and complex.