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README.md

work CLI Documentation Index

This folder contains comprehensive documentation for the work CLI - a unified, stateless command-line tool for managing work items across multiple project management backends (Jira, GitHub, Linear, Azure DevOps, and local filesystem).

Core Documentation Files

Complete CLI specification and command reference

  • Defines all CLI commands, syntax, and lifecycle operations
  • Core commands: create, start, close, reopen, get, list, set, edit
  • Context management for multi-backend support
  • Authentication, relations, notifications, and schema discovery
  • Comprehensive command grammar and UX rules

Bash and Telegram notification setup

  • Complete guide for setting up bash script and Telegram notification targets
  • JSON data structure and script requirements
  • Security best practices and error handling
  • Real-world examples and use cases

Concrete user journey demonstrating context and querying

  • Step-by-step example: finding high-priority tasks under an epic
  • Explains the mental model: context defines scope, queries filter within scope
  • Demonstrates explicit relation traversal and ordering
  • Shows how the same patterns work across all backends

Multi-backend support via adapter pattern

  • Architectural overview of adapter-based design
  • Detailed comparison of supported backends (local-fs, Jira, GitHub, Linear, ADO)
  • Deep dive into local-fs adapter as reference implementation
  • Filesystem layout, work item representation, and validation rules

Internal graph model and stateless execution

  • Property graph ontology: WorkItem nodes and typed relation edges
  • Runtime model using ephemeral graph slices (no global caching)
  • Explains "stateless" execution: no daemon, no background processes
  • Adapter interaction patterns and persistence models

Detailed execution flow for local filesystem backend

  • Step-by-step command execution from parsing to output
  • Demonstrates minimal filesystem access (no full project scans)
  • Shows graph slice assembly and query evaluation
  • Proves stateless execution guarantees

C4 architecture diagrams in PlantUML format

  • System context: work CLI interacting with external systems
  • Container diagram: internal CLI components and adapters
  • Component diagram: detailed internal execution flow
  • Runtime graph slice visualization

Configuration system and credential management

  • Two-stage configuration lookup (project-local and user-global)
  • Security rules for credential isolation
  • Context and notification target management
  • Safe version control practices

Quality attributes and performance requirements

  • Performance targets: response times, startup, memory usage
  • Scalability limits for different backends and data volumes
  • Reliability: error handling, data integrity, availability
  • Security: credential management, data protection
  • Usability, compatibility, and maintainability standards

CLI technology selection and rationale

  • Records the technology choice for the CLI layer (oclif framework)
  • Explains rationale for TypeScript/Node.js selection
  • Documents alternatives considered and future TUI considerations
  • Defines CLI layer scope and explicit non-goals

Human-AI team management specification

  • Comprehensive specification for the work teams feature
  • XML-based team configuration with agents and humans
  • Pre-installed software development and research teams
  • Agent personas, workflows, and activation instructions
  • Team member management, platform integration, and workflow automation

Proof of concept implementation plan

  • Phase 1: Project scaffolding with modern TypeScript development workflow
  • Phase 2: MVP implementation with complete local-fs adapter
  • Testing pyramid compliance and comprehensive feature coverage
  • Timeline, deliverables, and success criteria

Key Concepts

  • Stateless CLI: No daemon, no caching, ephemeral execution per command
  • Context-based scoping: Explicit backend selection with isolated credentials
  • Adapter pattern: Uniform interface across heterogeneous backends
  • Graph slices: Minimal in-memory data structures for single command execution
  • Explicit relations: Typed edges between work items (parent/child, blocks, duplicates)
  • Tool-agnostic: Same mental model and commands work across all backends

Architecture Highlights

  • Multi-backend support without lowest-common-denominator limitations
  • Offline-first capability via local-fs adapter
  • No hidden synchronization or mirroring
  • Predictable, scriptable command interface
  • Independent adapter versioning and testing