🤝 Multi-Agent Collaboration System

Overview

Implement a multi-agent system where specialized agents collaborate on complex development tasks through structured communication and shared artifacts.

Problem

Single-agent systems struggle with complex tasks requiring different types of expertise (planning, coding, testing, reviewing). No mechanism for agent specialization, collaboration, or quality gates.

Solution

Build a multi-agent collaboration framework with:

Agent Roles

• Planner Agent: Breaks down tasks into actionable plans
• Coder Agent: Implements changes with minimal, verifiable diffs
• Tester Agent: Generates tests, runs verification suites
• Reviewer Agent: Critiques code quality, security, maintainability
• Debugger Agent: Reproduces issues, generates fixes
• Fixer Agent: Iterates on feedback until gates pass

Agent Trait

#[async_trait]
trait Agent: Send + Sync {
    fn role(&self) -> AgentRole;
    async fn plan(&self, task: Task, ctx: &ExecutionContext) -> Result<Plan>;
    async fn act(&self, step: PlanStep, ctx: &ExecutionContext) -> Result<Artifact>;
    async fn critique(&self, artifact: &Artifact, criteria: &Criteria) -> Result<Verdict>;
    async fn negotiate(&self, conflicts: &[Conflict]) -> Result<Resolution>;
}

Blackboard Architecture

• Shared Artifacts: Specifications, plans, diffs, test results, traces
• Versioned State: Each artifact has history and lineage
• Event System: Agents subscribe to artifact changes
• Consensus Mechanisms: Conflict resolution between agents

Communication Patterns

• Request/Response: Direct agent-to-agent communication
• Publish/Subscribe: Broadcast artifact updates
• Negotiation: Multi-party conflict resolution
• Escalation: Human intervention when needed

Quality Gates

• Compilation Gates: Code must compile before proceeding
• Test Gates: Tests must pass with coverage thresholds
• Review Gates: Quality metrics must meet standards
• Security Gates: No vulnerabilities or secrets exposed

Implementation Plan

1. Define Agent trait and basic role implementations
2. Build Blackboard with artifact versioning
3. Add event system for agent communication
4. Implement negotiation and conflict resolution
5. Add quality gates and enforcement
6. Create agent orchestration system

Success Criteria

• Agents successfully collaborate on 10+ step tasks
• Quality gates prevent low-quality artifacts
• Conflict resolution works without human intervention >80% of time
• Agent handoffs complete in <5s

Example Workflow

1. User: 'Implement JWT authentication'
2. Planner: Creates detailed implementation plan
3. Coder: Implements auth middleware and utilities
4. Tester: Generates comprehensive test suite
5. Reviewer: Checks security, performance, maintainability
6. Fixer: Addresses review feedback iteratively
7. System: Creates PR with full audit trail

Timeline

8-10 weeks for core system, 12-16 weeks with full agent suite