What problem does it solve?
Manual issue tracking is slow and cumbersome, especially for AI agents. Managing complex task dependencies and identifying the next unblocked piece of work can be a significant bottleneck, leading to inefficiencies and delays in project execution.
Core Features & Use Cases
- Dependency-Aware Tracking: Automatically identifies what tasks are blocked and what work is ready to start, streamlining AI agent workflows.
- AI-Optimized Output: Provides lightning-fast, JSON-formatted output for all commands, making programmatic parsing and integration with AI agents seamless.
- Git-Native Storage: Stores issues in human-readable JSONL files that sync easily via Git, enabling distributed collaboration across multiple agents and sessions.
- Use Case: An AI agent is tasked with building a new feature. It uses Tracer to break down the epic into dependent tasks, automatically discovers the first unblocked task, and updates its status as it progresses, ensuring a clear, efficient path to completion.
Quick Start
Use the Tracer skill to initialize a new project and create a task 'Implement user login'.