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Overview

Parsaa Agents are specialized AI assistants designed for specific development tasks and workflows. Create custom agents to handle different aspects of your development process with tailored behavior and expertise.
Coming Soon: Agents functionality is currently in development and will be available to beta users first.

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What are Agents?

Agents are specialized AI assistants that can be configured for specific tasks, projects, or workflows. Each agent has its own personality, expertise, and behavior patterns.

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Agent Types

Purpose: Specialized in code review and quality assuranceCapabilities:
  • Identifies bugs and potential issues
  • Suggests performance improvements
  • Checks code style and conventions
  • Validates security best practices
Best For:
  • Pull request reviews
  • Code quality assurance
  • Security audits
  • Performance optimization
Purpose: Specialized in SwiftUI development and iOS patternsCapabilities:
  • SwiftUI best practices
  • iOS design patterns
  • Accessibility compliance
  • Performance optimization
Best For:
  • SwiftUI development
  • iOS app architecture
  • UI/UX implementation
  • iOS-specific optimization
Purpose: Specialized in test generation and quality assuranceCapabilities:
  • Generates unit tests
  • Creates integration tests
  • Suggests test scenarios
  • Validates test coverage
Best For:
  • Test-driven development
  • Quality assurance
  • Test automation
  • Coverage analysis

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Creating Custom Agents

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Agent Configuration

1

Define Agent Purpose

Specify what the agent should specialize in:
  • Domain: iOS development, web development, etc.
  • Task Type: Code review, generation, analysis, etc.
  • Expertise Level: Beginner, intermediate, expert
  • Focus Area: Specific frameworks or technologies
2

Set Agent Personality

Configure how the agent behaves:
  • Communication Style: Formal, casual, technical
  • Detail Level: Brief, detailed, comprehensive
  • Approach: Conservative, innovative, balanced
  • Preferences: Specific patterns or methodologies
3

Configure Capabilities

Define what the agent can do:
  • Code Analysis: Understanding and explaining code
  • Code Generation: Creating new code
  • Code Review: Evaluating and improving code
  • Documentation: Creating and updating docs
4

Set Constraints

Define limitations and boundaries:
  • Code Style: Specific formatting requirements
  • Architecture: Preferred patterns and structures
  • Security: Security requirements and constraints
  • Performance: Performance requirements

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Agent Examples

{
  "name": "iOS Architecture Expert",
  "purpose": "iOS app architecture and design patterns",
  "personality": {
    "style": "technical",
    "detail": "comprehensive",
    "approach": "methodical"
  },
  "capabilities": [
    "MVVM pattern implementation",
    "VIPER architecture guidance",
    "SwiftUI best practices",
    "Core Data optimization"
  ],
  "constraints": {
    "target_ios": "15.0+",
    "swift_version": "5.7+",
    "architecture": "MVVM",
    "testing": "required"
  }
}

{
  "name": "Security Specialist",
  "purpose": "iOS security and privacy compliance",
  "personality": {
    "style": "formal",
    "detail": "comprehensive",
    "approach": "conservative"
  },
  "capabilities": [
    "Security vulnerability detection",
    "Privacy compliance checking",
    "Secure coding practices",
    "Data protection guidance"
  ],
  "constraints": {
    "privacy_level": "maximum",
    "compliance": "GDPR",
    "encryption": "required",
    "audit": "enabled"
  }
}

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Agent Workflows

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Sequential Workflows

Step 1: Code Analysis Agent
  • Analyzes code structure and logic
  • Identifies potential issues
  • Provides initial assessment
Step 2: Security Agent
  • Checks for security vulnerabilities
  • Validates data handling
  • Ensures compliance
Step 3: Performance Agent
  • Analyzes performance implications
  • Suggests optimizations
  • Validates efficiency
Step 1: Architecture Agent
  • Designs feature architecture
  • Suggests design patterns
  • Plans implementation
Step 2: Implementation Agent
  • Generates initial code
  • Implements core functionality
  • Creates basic structure
Step 3: Testing Agent
  • Generates unit tests
  • Creates integration tests
  • Validates functionality

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Parallel Workflows

Code Review: Multiple agents analyze different aspects simultaneously
  • Security Agent: Focuses on security issues
  • Performance Agent: Analyzes performance implications
  • Style Agent: Checks code style and conventions
  • Documentation Agent: Validates documentation quality
Feature Development: Multiple agents work together
  • Architecture Agent: Designs overall structure
  • UI Agent: Handles user interface
  • Data Agent: Manages data layer
  • Testing Agent: Ensures quality

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Agent Management

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Agent Library

Parsaa comes with pre-configured agents:
  • Swift Expert: iOS and Swift development
  • Code Reviewer: Code quality and review
  • Test Generator: Test creation and validation
  • Documentation Writer: Documentation generation
  • Security Auditor: Security analysis and compliance
Create your own agents:
  • Project-Specific: Tailored to your project needs
  • Team-Specific: Configured for your team’s standards
  • Task-Specific: Specialized for specific tasks
  • Shared Agents: Share with your team

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Agent Sharing

  • Share Agents: Share custom agents with your team
  • Agent Marketplace: Discover agents created by the community
  • Version Control: Track agent changes and updates
  • Collaboration: Work together on agent development
  • Quick Setup: Use templates for common agent types
  • Customization: Modify templates for your needs
  • Best Practices: Learn from proven agent configurations
  • Documentation: Comprehensive agent documentation

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Advanced Agent Features

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Agent Learning

Agents learn from your interactions:
  • Preference Learning: Adapt to your coding style
  • Context Awareness: Understand your project better
  • Feedback Integration: Improve based on your feedback
  • Pattern Recognition: Learn your common patterns
Agents optimize their performance:
  • Response Time: Faster responses over time
  • Accuracy: Better suggestions and analysis
  • Relevance: More relevant recommendations
  • Efficiency: Optimized resource usage

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Agent Communication

Agents can communicate with each other:
  • Information Sharing: Share context and findings
  • Collaborative Analysis: Work together on complex tasks
  • Conflict Resolution: Resolve conflicting suggestions
  • Consensus Building: Reach agreement on recommendations
Natural interaction with agents:
  • Conversational Interface: Talk to agents naturally
  • Context Preservation: Agents remember conversation history
  • Multi-Turn Dialogues: Complex, ongoing conversations
  • Clarification Requests: Agents ask for clarification when needed

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Agent Best Practices

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Creating Effective Agents

Clear Purpose

Define a specific, clear purpose for each agent to ensure focused and effective assistance.

Appropriate Scope

Don’t make agents too broad or too narrow - find the right balance for your needs.

Regular Updates

Keep agents updated with new information, patterns, and best practices.

User Feedback

Regularly review and incorporate user feedback to improve agent performance.

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Agent Optimization

  • Response Time: Optimize for faster responses
  • Accuracy: Improve suggestion quality
  • Relevance: Ensure suggestions are relevant
  • Efficiency: Minimize resource usage
  • Intuitive Interface: Make agents easy to use
  • Clear Communication: Ensure agents communicate clearly
  • Helpful Responses: Provide useful and actionable suggestions
  • Consistent Behavior: Maintain predictable behavior patterns

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Troubleshooting

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Common Issues

Solutions:
  1. Check agent configuration
  2. Verify agent is active
  3. Restart the agent
  4. Check for conflicts with other agents
Solutions:
  1. Review agent configuration
  2. Update agent with new information
  3. Adjust agent parameters
  4. Consider using a different agent
Solutions:
  1. Check agent priorities
  2. Resolve conflicting configurations
  3. Use agent communication features
  4. Manually resolve conflicts

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Getting Help

Agent Support

Need help with agents? Our support team can help you create and optimize your agents.
Beta Feature: Agents functionality is currently in development. Join our waitlist to get early access and help shape this powerful feature.