The codeburn repository (getagentseal/codeburn) focuses on: See where your AI coding tokens go. Interactive TUI dashboard for Claude Code, Codex, and Cursor cost observability.. It belongs in this directory only insofar as it supports MCP and tool-calling integration, evaluation and observability, developer-centric engineering workflows in AI products, agent systems, or developer tooling.
License
MIT
Stars
8,280
Homepage
https://codeburn.app/Features
- GitHub description for codeburn: See where your AI coding tokens go. Interactive TUI dashboard for Claude Code, Codex, and Cursor cost observability.
- codeburn uses TypeScript as its recorded primary language, which helps with stack-fit review.
- codeburn helps evaluate coordination, planning, or task-decomposition patterns in agent systems.
- codeburn acts as a reference point for measuring, tracing, benchmarking, or monitoring behavior.
- codeburn fits engineering teams assessing code, CLI, SDK, runtime, or developer-tooling workflows.
- codeburn lists MIT license metadata; review obligations before redistribution or hosted use.
Use Cases
- Test codeburn when the need is agent orchestration and the repo summary matches: See where your AI coding tokens go. Interactive TUI dashboard for Claude Code, Codex, a...
- Compare the TypeScript implementation in codeburn before choosing a similar internal architecture.
- Use codeburn to test agent coordination patterns with a concrete open-source codebase.
- Use codeburn to compare evaluation or monitoring approaches before production rollout.
- Use codeburn to study developer-tooling implementation details before building internal workflows.
- Complete a MIT license review before packaging codeburn into a commercial or hosted workflow.
FAQ
Start from the repository summary (See where your AI coding tokens go. Interactive TUI dashboard for Claude Code, Codex, and Cursor cost observability.), then verify maintenance status, integration boundaries, and whether its agent orchestration, evaluation and observability, developer engineering workflows focus matches the intended workflow. Repository: https://github.com/getagentseal/codeburn. Stars: about 6,154. License: MIT. Language: TypeScript.
codeburn is best treated as a repository-level component or reference implementation for agent orchestration, evaluation and observability, developer engineering workflows. Good evaluation scenarios include: Test codeburn when the need is agent orchestration and the repo summary matches: See where your AI coding tokens go. Interactive TUI dashboard for Claude Code, Codex, a... Compare the TypeScript implementation in codeburn before choosing a similar internal architecture. Use codeburn to test agent coordination patterns with a concrete open-source codebase.
