AI Dev Tasks Tutorial: Structured Feature Development with AI Assistants

TL;DR

AI Dev Tasks provides a 3-step workflow for systematic AI-assisted feature development
Works with any AI tool: Cursor, Claude Code, Windsurf, and other AI coding assistants
Structured approach: PRD → Task List → Implementation with built-in checkpoints
Quality assurance: Step-by-step verification prevents AI “black box” issues

Why AI Dev Tasks? The Problem with Traditional AI Coding

Building complex features with AI can feel like a black box. You give a vague prompt and hope for the best, but often get:

Misunderstood requirements leading to wrong implementations
Inconsistent outputs across different AI sessions
Difficulty tracking progress and debugging issues
“AI spaghetti” where features grow uncontrollably

AI Dev Tasks solves this by providing structured workflows that guide your AI collaborator step-by-step.

The 3-File System

AI Dev Tasks consists of three specialized markdown files:

File	Purpose	When to Use
`create-prd.md`	Generate Product Requirement Documents	Feature planning phase
`generate-tasks.md`	Break PRDs into actionable tasks	Implementation planning
`process-task-list.md`	Implement tasks systematically	Development phase

Complete Workflow: From Idea to Implementation

Step 1: Create a Product Requirement Document (PRD)

Goal: Transform vague feature ideas into clear, actionable specifications.

How to Use `create-prd.md`

Reference the file in your AI assistant:

Use @create-prd.md
Here's the feature I want to build: Add user profile editing with avatar upload

Answer clarifying questions from the AI:
- What problem does this solve?
- Who are the target users?
- What are the core user actions?
- What are the acceptance criteria?
Review the generated PRD saved as [n]-prd-[feature-name].md

Example PRD Structure

# 0001-PRD-User Profile Editing

## Introduction/Overview
Allow users to edit their profile information and upload avatar images to personalize their accounts.

## Goals
- Users can view and edit their profile information
- Users can upload and change their avatar image
- Profile changes are persisted to the database

## User Stories
- As a user, I want to edit my profile so I can keep my information current
- As a user, I want to upload an avatar so I can personalize my profile

## Functional Requirements
1. The system must display current user profile information
2. The system must allow editing of profile fields (name, bio, location)
3. The system must allow avatar image upload
4. The system must validate image file types and sizes

Step 2: Generate Your Task List

Goal: Break the PRD into granular, actionable development tasks.

How to Use `generate-tasks.md`

Reference both files:

Take @0001-prd-user-profile-editing.md and create tasks using @generate-tasks.md

Review parent tasks first, then approve sub-task generation:

AI: I have generated the high-level tasks. Ready to generate sub-tasks? Respond with 'Go'
You: Go

Review the complete task list saved as tasks-0001-prd-user-profile-editing.md

Example Task List Structure

## Relevant Files
- `src/components/ProfileEdit.tsx` - Main profile editing component
- `src/components/ProfileEdit.test.tsx` - Unit tests for profile editing
- `src/hooks/useProfile.ts` - Custom hook for profile management
- `src/services/profileService.ts` - API service for profile operations

## Tasks

- [ ] 1.0 Set up profile editing infrastructure
  - [ ] 1.1 Create ProfileEdit component with form layout
  - [ ] 1.2 Add form validation for required fields
  - [ ] 1.3 Implement save/cancel functionality

- [ ] 2.0 Implement avatar upload feature
  - [ ] 2.1 Create file upload component
  - [ ] 2.2 Add image preview functionality
  - [ ] 2.3 Implement image compression and validation

- [ ] 3.0 Integrate with backend API
  - [ ] 3.1 Create profile update endpoint
  - [ ] 3.2 Add error handling for API failures
  - [ ] 3.3 Implement loading states

Step 3: Implement Tasks Systematically

Goal: Implement features step-by-step with proper testing and version control.

How to Use `process-task-list.md`

Start with the first task:

Please start on task 1.1 and use @process-task-list.md

Review each completed sub-task:
- AI marks sub-tasks as [x] when complete
- AI runs tests and commits changes
- You approve before moving to next task
Monitor progress as tasks are systematically completed

Tool-Specific Setup Guides

Cursor Setup

Easiest option - works out of the box:

Copy the three .md files to your project root

Reference them with @ in Cursor’s Agent chat:

Use @create-prd.md to help me plan a new feature

Pro Tips for Cursor:

Use MAX mode for PRD creation for more thorough results
Consider upgrading to Pro plan for better AI model capabilities

Claude Code Setup

For systematic development across projects:

Copy files to your repo:

mkdir ai-dev-tasks
cp create-prd.md generate-tasks.md process-task-list.md ai-dev-tasks/

Add to CLAUDE.md:

# AI Dev Tasks
Use these files for structured feature development:
/ai-dev-tasks/create-prd.md
/ai-dev-tasks/generate-tasks.md
/ai-dev-tasks/process-task-list.md

Create custom commands (optional):

mkdir -p .claude/commands/
# Add command files for quick access

Other AI Tools

Universal approach:

Copy the .md files to your project
Reference them according to your tool’s documentation
Follow the same workflow principles

Real-World Example: Building a Task Management Feature

Let’s walk through a complete example of building a task management feature:

1. Create the PRD

You: Use @create-prd.md
I want to build a task management feature where users can create, edit, and track their daily tasks.

AI: I'll help you create a PRD. First, I need to ask some clarifying questions:
1. What problem does this solve for users?
2. Who are the primary users?
3. What core actions should users be able to perform?

Answers provided:

Helps users organize their work and stay productive
Busy professionals who need to track multiple tasks
Create tasks, mark as complete, categorize by project, set due dates

Generated PRD: 0001-prd-task-management.md

2. Generate Tasks

You: Take @0001-prd-task-management.md and create tasks using @generate-tasks.md

AI: I have generated the high-level tasks based on the PRD. Ready to generate sub-tasks? Respond with 'Go'
You: Go

AI: Here are the detailed tasks...

Generated Task List: tasks-0001-prd-task-management.md

3. Implement Systematically

You: Please start on task 1.1 and use @process-task-list.md

AI: I'll implement task 1.1: Create TaskList component with basic layout
[implements component, runs tests, commits changes]

Task 1.1 complete. Ready for next task? (y/n)
You: y

Advanced Patterns and Best Practices

Pattern 1: Complex Feature Breakdown

For complex features, use this structure:

0001-prd-payment-system.md
├── tasks-0001-prd-payment-system.md (main implementation)
├── 0002-prd-payment-integrations.md (follow-up enhancements)
└── tasks-0002-prd-payment-integrations.md

Pattern 2: Iterative Development

For phased rollouts:

## Tasks

- [ ] 1.0 Phase 1: Basic task creation
  - [ ] 1.1 Create task input form
  - [ ] 1.2 Add task storage (localStorage initially)

- [ ] 2.0 Phase 2: Task persistence
  - [ ] 2.1 Implement database storage
  - [ ] 2.2 Add data migration logic

- [ ] 3.0 Phase 3: Advanced features
  - [ ] 3.1 Add task categories
  - [ ] 3.2 Implement due date functionality

Best Practice 1: Start Small

Begin with one feature at a time
Use AI Dev Tasks for new features or significant changes
Don’t try to spec your entire application at once

Best Practice 2: Be Specific in Requirements

Provide concrete examples in your PRD
Include both happy path and edge cases
Specify non-functional requirements (performance, security)

Best Practice 3: Regular Checkpoints

Review each completed task before proceeding
Run full test suites after major changes
Use meaningful commit messages

Troubleshooting Common Issues

Problem: AI Doesn’t Follow the Workflow

Solution: Ensure all three .md files are properly referenced and accessible to your AI tool.

Problem: Tasks Are Too Large or Vague

Solution: Ask the AI to break tasks into smaller sub-tasks:

Can you break task 2.1 into more specific sub-tasks?

Problem: Implementation Quality Issues

Solution: Use the step-by-step approach and review each task:

Don’t rush through tasks
Test thoroughly before approving
Provide feedback for corrections

Comparison: AI Dev Tasks vs Other Tools

Tool	Focus	AI Dev Tasks Advantage
OpenSpec	Specification management	Feature development workflow
Traditional AI	Code generation	Structured, verifiable process
Manual Development	Human planning	AI leverage with human oversight

Integration with Development Workflows

Git Workflow Integration

# After each parent task completion
git add .
git commit -m "feat: implement user authentication" \
           -m "- Add login/logout components" \
           -m "- Integrate with auth service" \
           -m "Related to task 1.0 in PRD-0001"

Testing Integration

Run tests after each parent task
Use the “Relevant Files” section to track test coverage
Ensure all edge cases are covered

Success Metrics and Measurement

Track these metrics to measure AI Dev Tasks effectiveness:

Completion rate: Percentage of tasks completed successfully
Cycle time: Time from PRD creation to feature completion
Error rate: Number of rollbacks or major corrections needed
Code quality: Test coverage and maintainability scores

Conclusion

AI Dev Tasks transforms unpredictable AI-assisted development into a structured, reliable process. By breaking complex features into manageable tasks with built-in checkpoints, you maintain control while leveraging AI’s capabilities.

The system works with any AI coding assistant and scales from simple features to complex applications. Start with the basic workflow, then adapt the .md files to match your team’s preferences and project requirements.

Resources

Repository: github.com/snarktank/ai-dev-tasks
Video Demo: How I AI Podcast Episode
Issues: Report problems or request features

References

SnarkTank. (2024). AI Dev Tasks: Structured Feature Development with AI Assistants. GitHub Repository. https://github.com/snarktank/ai-dev-tasks

This tutorial covers the complete AI Dev Tasks workflow and is designed to help developers effectively use AI assistants for feature development.

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