Senior LevelAI, LLMs, Embeddings & MCP
How do Supervisor-Worker Hierarchical Agent architectures scale complex software engineering tasks?
❓ Interview Prompt: Explain Supervisor-Worker multi-agent patterns, goal decomposition, stateful delegation, and review loops.
Flat multi-agent architectures (where all agents communicate with everyone) experience message clutter and state chaos on complex software engineering tasks. Supervisor-Worker Architectures enforce strict hierarchy.
Hierarchical Roles:
1
Supervisor Agent: High-level planner. Parses overall project goals, decomposes tasks into sub-tasks, assigns work to specialized workers, and monitors progress.
2
Worker Agents: Specialized single-purpose agents (e.g. Coder Agent, Database Agent, QA Tester Agent). Workers perform tasks and report results only back to the Supervisor.
3
Review Loop: Supervisor reviews worker output, requesting revisions until quality standards are met.
Code Implementation Example
typescript
// Supervisor Agent Delegation Loop
async function runSupervisorOrchestrator(goal: string) {
const plan = await supervisor.createPlan(goal);
for (const step of plan.steps) {
let result = '';
if (step.agent === 'coder') result = await coderAgent.execute(step.instruction);
if (step.agent === 'tester') result = await testerAgent.execute(step.instruction);
// Supervisor reviews worker output
const approval = await supervisor.review(step, result);
if (!approval.passed) {
await coderAgent.execute("Fix issue: " + approval.feedback);
}
}
}💡Supervisor agent delegating tasks and reviewing worker agent outputs.
🎯 Interview Key Takeaway
Supervisor-Worker architectures structure complex agent tasks via goal decomposition, task delegation, and centralized output review.
#Supervisor-Worker#Agents#Hierarchy#Orchestration#Senior
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