CodeBurn

Descripción detallada

CodeBurn is a powerful, free, and open-source tool designed to help developers and teams track AI coding token usage and associated costs across a wide array of AI coding assistants and tools. Its core purpose is to provide a transparent, privacy-first, and local-first solution for monitoring the consumption of AI tokens and the expenses incurred while leveraging AI models for coding tasks. Unlike cloud-based or centralized tracking services, CodeBurn operates entirely on the user's local machine, ensuring that sensitive usage data remains private and secure without requiring any signup or data sharing. This makes it an ideal alternative to existing services like ccusage, which may rely on cloud infrastructure and user accounts. CodeBurn supports over 40 different AI coding tools and agents, including popular models such as Claude Code, Cursor, Codex, Copilot, Gemini, Grok, and many others, making it highly versatile and comprehensive in its coverage. One of CodeBurn's standout features is its detailed breakdown of token usage and spending. Users can analyze costs by specific AI models, projects, and even individual tasks, enabling granular insight into how AI resources are being consumed. This level of detail helps developers optimize their workflows, budget AI usage more effectively, and identify which projects or tasks are driving the highest costs. The tool provides multiple interfaces to suit different user preferences and workflows: a convenient menu bar app for quick access and overview, a command-line interface (CLI) for developers who prefer terminal-based tools, and a web dashboard that offers a rich visual representation of usage data. This multi-interface approach ensures that users can interact with CodeBurn in the way that best fits their working style. CodeBurn is compatible with major operating systems including macOS, Linux, and Windows, making it accessible to a broad range of users. Its open-source nature encourages community contributions and transparency, allowing users to audit the codebase and customize the tool if needed. Because it runs 100% locally, users do not have to worry about data privacy or vendor lock-in, which is a significant advantage for organizations with strict security requirements or individuals concerned about data sovereignty. The tool is particularly well-suited for developers, AI researchers, and teams who heavily rely on AI coding assistants and want to keep a close eye on their token consumption and costs. It is also valuable for project managers and financial controllers who need to allocate AI usage budgets accurately across multiple projects or teams. By providing detailed analytics, CodeBurn helps users make informed decisions about which AI models to use and how to optimize their AI-assisted coding processes to reduce unnecessary expenses. CodeBurn is completely free to use, with no hidden fees or premium plans. Its open-source license means that anyone can download, use, and modify the software without cost. This pricing model makes it accessible to individual developers, startups, and large enterprises alike. Compared to alternatives like ccusage, which may require cloud accounts or paid subscriptions, CodeBurn’s local-first and open-source approach offers a unique value proposition focused on privacy and cost transparency. While CodeBurn excels in privacy and comprehensive tracking, users should note that its local-first architecture means that usage data is stored locally and not synced across devices unless users implement their own synchronization solutions. Additionally, because it supports a wide range of AI tools, initial setup and configuration might require some technical familiarity, especially for integrating less common AI agents. However, the availability of a CLI and detailed documentation helps mitigate these challenges. In summary, CodeBurn is an essential tool for anyone looking to gain detailed insights into AI coding token usage and costs while maintaining full control over their data. Its extensive support for multiple AI coding tools, detailed analytics, and privacy-first design make it a standout choice for developers and teams aiming to optimize their AI-assisted coding workflows without compromising on security or transparency.