Features

Detailed feature overview of ParallelCode

Phase 1 Features (Available Now)

ParallelCode Phase 1 focuses on solving the core problem: eliminating sequential waiting in AI-assisted coding.

1. Multi-Workspace Parallel Development

The cornerstone feature that changes everything about how you work with AI coding tools.

How It Works:

Launch multiple workspace instances of ParallelCode
Each workspace can open different projects or different branches of the same project
Use Cursor, Claude, or any AI coding tool in each workspace independently
All workspaces run simultaneously on your machine

Real-World Workflow:

Workspace 1: Feature A (branch: feature/user-auth)
  └─ Cursor AI writing authentication logic

Workspace 2: Feature B (branch: feature/payment)
  └─ Claude AI implementing payment integration

Workspace 3: Bug Fix (branch: fix/memory-leak)
  └─ Cursor AI debugging memory issues

Total time: ~10 minutes (parallel)
vs. 30+ minutes (sequential)

Benefits:

No More Waiting: Start new tasks immediately without waiting for current AI to finish
Test Multiple Approaches: Try different solutions to the same problem in parallel
Efficient Rollbacks: If one AI's solution doesn't work, you already have other options in progress
Branch Management: Easy to work on multiple Git branches without constant switching

2. Unified Project Context

Open multiple related projects in a single workspace to give AI full context of your ecosystem.

Use Cases:

Microservices Architecture:

Workspace:
  ├─ /api-gateway
  ├─ /user-service
  ├─ /payment-service
  └─ /shared-library

When you ask AI to modify the user service, it understands:

The API contracts defined in api-gateway
Shared utilities in shared-library
How payment-service interacts with user data

Full-Stack Projects:

Workspace:
  ├─ /frontend (React/Vue)
  ├─ /backend (Node.js/Python)
  └─ /shared-types

AI can:

Generate consistent type definitions across frontend and backend
Understand API endpoints when writing frontend code
Suggest backend changes when modifying frontend requirements

Benefits:

Better AI Suggestions: AI understands dependencies and relationships
Consistent Code: Type definitions and interfaces stay in sync
Fewer Context Switches: No need to jump between different IDE windows
Faster Development: AI makes informed decisions with full context

3. Compatibility with AI Tools

ParallelCode is a workspace manager, not a replacement for your favorite AI coding tools.

Supported Tools:

✅ Cursor
✅ Claude (via Claude Desktop or API)
✅ GitHub Copilot
✅ Visual Studio Code with AI extensions
✅ Any AI coding assistant that works with local projects

How It Works: ParallelCode manages workspaces and project organization. You continue using your preferred AI tool within each workspace.

4. Git Integration

Built-in Git support makes branch-based parallel development seamless.

Features:

Quick branch switching per workspace
Visual indicators of which workspace is on which branch
Automatic Git status monitoring
Support for Git Worktree (coming soon for advanced users)

Coming Soon Features

These features are in development and will be available in future releases.

Automatic Task Decomposition

Break down complex coding projects into smaller, manageable tasks automatically.

What you'll get:

Describe a large feature in plain language
Get a structured plan with independent subtasks
Execute multiple tasks in parallel automatically
5-10x faster completion on complex projects

Example scenario:
Instead of spending hours planning how to build a complete authentication system, describe your goal and get back to coding immediately while the system handles task breakdown and coordination.

Background Agent Support

Let AI agents work on coding tasks in the background while you focus on other things.

What you'll get:

Autonomous AI agents that code without constant supervision
Run multiple coding tasks overnight or while in meetings
Get notified when tasks complete or need your input
Review and approve results at your convenience

Example scenario:
Assign refactoring tasks to background agents before leaving work. Return the next morning to completed, tested code ready for review.

Intelligent Parallel Execution

Combine task decomposition with background agents for truly autonomous parallel coding at scale.

What you'll get:

Handle projects that would take days in a fraction of the time
Scale from 2-3 parallel tasks to dozens
Automatic coordination and conflict handling
Focus on high-level decisions while AI handles implementation

Example scenario:
Large-scale refactoring, codebase migrations, or comprehensive test coverage that traditionally takes weeks can be completed in hours.

Feature Comparison

Feature	Available	Coming Soon
Multi-Workspace Parallel Development	✅	-
Unified Project Context	✅	-
AI Tool Compatibility	✅	-
Git Integration	✅	-
Task Decomposition	-	🔜
Local Background Agents	-	🔜
Parallel Agent Execution	-	🔜
Conflict Resolution AI	-	🔜
Cloud Agent Support	-	🔮 (Future)

Our Approach

Phase 1: Solve the immediate pain point

Sequential waiting is the biggest productivity killer
Multi-workspace solves 80% of the problem
Works with tools developers already use
Get value immediately, no learning curve

Phase 2+: Add intelligence and scale

Reduce manual overhead with smart automation
Enable hands-off operation for routine tasks
Scale to enterprise-level complexity

Philosophy: Start simple, add power gradually. Every phase delivers immediate value.