The latest articles on DEV Community by Kai K (@kai_k_53659d5024f593ef4da). https://dev.to/kai_k_53659d5024f593ef4da https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3943150%2F8f7573da-dc9f-4917-ad75-17a24ffa8f72.png https://dev.to/kai_k_53659d5024f593ef4da en Kai K Thu, 21 May 2026 02:21:11 +0000 https://dev.to/kai_k_53659d5024f593ef4da/token-watcher-2m41 https://dev.to/kai_k_53659d5024f593ef4da/token-watcher-2m41 <p>**<br> Open-source token monitoring for Codex, Claude Code, and agentic coding workflows.**</p> <p>Token Watcher helps developers understand how many tokens their AI coding tools are using while they work. As developers increasingly rely on Codex, Claude Code, and agentic coding CLIs, token usage can become difficult to track, especially when agents loop, retry, or pull in too much context.</p> <p>Token Watcher gives builders a lightweight visibility layer so they can spot oversized prompts, monitor session usage, and catch runaway workflows earlier.</p> <h2> What It Does </h2> <p>Token Watcher monitors token usage across prompt-heavy developer workflows. It is designed for developers using tools like Codex and Claude Code who want more visibility into how their AI coding sessions behave.</p> <p>It helps users:</p> <ul> <li>Track prompt and session token usage</li> <li>Identify unusually large prompts</li> <li>Notice potential runaway agent loops</li> <li>Understand which sessions are becoming expensive</li> <li>Make AI coding workflows more transparent and controllable</li> </ul> <h2> What's Next for Token Watcher </h2> <p>Next, I want to improve Token Watcher with:</p> <ul> <li>Better session summaries</li> <li>Cost estimation</li> <li>Alerts for unusually large prompts</li> <li>Support for more AI coding tools</li> <li>Historical usage charts</li> <li>Better detection of repeated or looping agent behavior</li> <li>A cleaner dashboard or terminal UI</li> </ul> <p>Long term, Token Watcher could become a lightweight observability layer for agentic coding workflows.</p> <h2> Built With </h2> <ul> <li>TypeScript</li> <li>Node.js</li> <li>CLI</li> <li>OpenAI Codex</li> <li>Claude Code</li> <li>Open Source</li> </ul> <h2> Links </h2> <ul> <li>GitHub: <a href="https://github.com/Kk120306/tokenwatch" rel="noopener noreferrer">https://github.com/Kk120306/tokenwatch</a> </li> </ul> opensource ai agents promptengineering