Tracks development tasks and manages context handoffs across AI coding sessions using a structured CLI workflow.
TD is a specialized CLI-driven task management system designed to solve the problem of context loss in AI-driven development. It provides a robust framework for tracking the lifecycle of issues—from creation to review—while ensuring that critical information like technical decisions, hypotheses, and blockers are captured in real-time. By implementing a formal handoff protocol and dependency graphing, TD allows developers and AI agents to pick up exactly where a previous session left off, utilizing critical-path analysis to prioritize tasks that unblock the most work.
Key Features
01Session-isolated review workflows that separate implementation from approval
02Rich progress logging with flags for decisions, blockers, hypotheses, and results
03Flexible issue lifecycle management including bugs, features, tasks, and epics
040 GitHub stars
05Dependency management with automated critical-path analysis to identify bottlenecks
06Structured session handoff protocol to transfer context between AI instances
Use Cases
01Managing complex coding projects across multiple separate Claude Code sessions
02Visualizing project bottlenecks to optimize development speed through dependency mapping
03Documenting technical rationale and failed attempts to prevent rework in future sessions
