Claude Code Task Management Without The JSON Overhead

Managing tasks through JSON files works fine for small projects, but quickly becomes context-inefficient and error-prone as task lists grow.

Two core problems here: every task operation loads the entire JSON into context, wasting your context window, and JSON updates are error-prone since Claude Code (and other agnetic IDEs) must locate exact positions in complex nested structures. These issues cause Claude Code to misformat JSON, accidentally delete fields, or corrupt entire task lists.

I solve this using todoq - a CLI tool that manages tasks through targeted commands instead of JSON manipulation (it uses a simple queue stored in a sqlite db instead, accessible via CLI commands). Each operation only touches the specific task being addressed, keeping context lean and operations reliable.

This approach makes task management precise, prevents JSON corruption, and keeps Claude focused on actual work instead of file formatting.

Here's a basic walkthrough of how I use todoq for task management. I'll walk through the basic CLI commands 'by hand' - but I typically use Claude to break up a PRD and use todoq for me to generate tasks. More to say on that after the quick walkthrough.

Say you're working on a feature implementation with multiple subtasks.

Here are the basic todoq CLI commands to create and manage tasks without touching JSON.

# add a task to your queue
$ todoq add "Implement user authentication flow"
✓ Task added with ID: auth-1

# add subtasks with context
$ todoq add "Create login component" --parent auth-1 --priority high
✓ Task added with ID: login-2

$ todoq add "Add JWT token validation" --parent auth-1
✓ Task added with ID: jwt-3

# view your task queue
$ todoq list
Queue contains 3 task(s):
1. [auth-1] Implement user authentication flow (pending)
   ├─ [login-2] Create login component (pending) [high]
   └─ [jwt-3] Add JWT token validation (pending)

You can view tasks in plain list form, or as a tree using --tree.

There are similar CLI commands for updating a task's status, notes, fields, etc., like

# mark a task as in-progress
$ todoq update login-2 --status in-progress
✓ Task login-2 updated

# add implementation notes without touching JSON
$ todoq note login-2 "Using React hooks for form state management"
✓ Note added to task login-2

# mark as complete when done
$ todoq update login-2 --status complete
✓ Task login-2 marked complete

# view task details
$ todoq show login-2
[login-2] Create login component
Status: complete
Priority: high
Parent: auth-1
Notes:
- Using React hooks for form state management

You can also query and filter tasks efficiently:

# get only in-progress tasks
$ todoq list --status in-progress
1. [auth-1] Implement user authentication flow (in-progress)

# get next task to work on
$ todoq next
[jwt-3] Add JWT token validation (pending)

# bulk operations
$ todoq complete-all --parent auth-1
✓ 2 tasks marked complete

The key benefits of using todoq with an agentic IDE like Claude Code:

• Context efficiency: When Claude checks a task status or adds a note, only that specific task enters context - not the entire task JSON / tree.

• Error prevention: Commands either succeed or fail cleanly. No malformed JSON, no accidentally deleted fields, no corrupted task lists.

So for example, once I have solid tasks queued up I have Claude sequentially work on them via the todoq CLI (e.g., todoq next). Claude is very good at executing todoq CLI commands, which provide it with the precise context it needs for the task at hand.

Generating tasks from PRDs

While the CLI commands above are useful for manual task management, I typically use Claude Code to break down PRDs (Product Requirement Documents) into todoq tasks using a custom slash command.

The /generate-todoq-tasks command takes a PRD file and generates a complete hierarchical task breakdown with validation and safe import. It handles analysis, hierarchy design, and dependency mapping while keeping Claude focused on implementation rather than formatting.

The process pauses at several points for user review and approval of task layouts - it's important to keep one hand on the wheel when generating tasks.

The command follows this process:

1. Environment Setup - Validate todoq is initialized and analyze existing tasks
2. PRD Analysis - Extract requirements, user stories, and business rules (with user review)
3. Task Generation - Create hierarchical tasks with dependencies and priorities (with user preview)
4. Integration Planning - Determine how new tasks merge with existing ones
5. Validation & Backup - Schema validation and safety backups before import
6. Safe Import - Import tasks with verification and rollback options

Key Features:

• Multiple user review points for approval/modification
• Automatic backup creation before import
• Schema validation and error recovery
• Integration with existing task hierarchies
• Rollback capability if import fails

Usage:

/generate-todoq-tasks path/to/feature-prd.md ./project-dir

This approach handles the complexity of PRD analysis while keeping the human in the loop for critical decisions.

Simple tooling that respects context limits and prevents errors. No JSON juggling, just clean commands that do exactly what they say.